At a glance

• Current cloud backlog of 鈧�22.9 billion, up 27% and up 26% at constant currencies
• Cloud revenue up 22% and up 24% at constant currencies
• Cloud ERP Suite revenue up 25% and up 27% at constant currencies
• Total revenue up 9% and up 11% at constant currencies
• IFRS operating profit up 8%, non-IFRS operating profit up 7% and up 9% at constant currencies
• 2026 non-IFRS operating profit outlook updated to reflect dilutive impact from Dremio and Prior Labs acquisitions

Christian Klein, CEO:

鈥淲e delivered another quarter of strong current cloud backlog growth, up 26% at constant currencies. This performance is underpinned by our Autonomous Enterprise strategy with strong momentum across our Autonomous Suite as well as our Business AI Platform. Customers are choosing 麻豆原创 to enable accurate and compliant AI outcomes grounded in their most critical business processes and data.鈥�

Dominik Asam, CFO:

鈥淨2 was another strong quarter, highlighted by sustained current cloud backlog and free cash flow growth against a volatile macroeconomic backdrop. These results reflect our disciplined execution and our ability to deliver against our operating objectives. As part of that execution, we aggressively drive our own transformation into an Autonomous Enterprise, leveraging AI to boost both effectiveness and efficiency at the same time.鈥�

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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The acquisition will accelerate 麻豆原创鈥檚 success in TFMs that started with 麻豆原创-RPT-1 and bring one of the world鈥檚 leading TFM research teams into the 麻豆原创 family.聽Prior Labs聽will continue to聽operate聽as an independent entity, with 麻豆原创 committing to聽investing聽more than 鈧�1 billion over the next four years to scale it into a globally leading frontier AI lab for the structured data that聽underpins聽the world鈥檚 businesses.

For聽additional聽information about the acquisition, see the聽press release聽from May 2026.聽

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Daniel Reinhardt, +49 151 168 10157, 聽daniel.reinhardt@sap.com, CET
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
漏 2026 麻豆原创 SE. All rights reserved.  
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.  

麻豆原创 remains committed to open competition, customer choice and innovation. The commitments provide greater clarity, choice and safeguards for customers managing complex on-premise environments, while supporting flexible IT strategies aligned with business priorities.

As the only Fortune 50 technology company headquartered in Europe, 麻豆原创鈥檚 maintenance practices are aligned with industry standards and offer customers a broad range of deployment, licensing and maintenance options across on-premise and cloud environments.

The commitments strengthen customer choice and predictability by making policies more transparent, introducing targeted flexibility for exceptional shelfware situations and reinforcing consistent execution through improved guidance, training and independent oversight.

The decision relates solely to on-premise maintenance policies and does not concern 麻豆原创鈥檚 cloud offerings. However, the added clarity and flexibility support customers as they modernize toward an AI-enabled autonomous enterprise at their own pace. In closing this matter, 麻豆原创 is able to move forward with a clear framework for customers, partners and investors.

Learn more here.

The acquisition accelerates agentic AI and expands customers鈥� ability to聽combine 麻豆原创 and non-麻豆原创 data to run analytical and AI workloads in real time, with no data movement or conversion necessary, and with vastly improved economics for enterprise analytics.

For additional information about the acquisition, see the press release from May 2026.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
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WALLDORF 鈥� (NYSE: 麻豆原创) and IBM today announced that global enterprises JYSK, GBM, DIFARE Group and Plastilene Group have selected 麻豆原创 Cloud ERP Private solutions on to modernize enterprise resource planning (ERP) workloads in secure, reliable and scalable cloud environments.

Spanning retail, technology services, pharmaceutical and manufacturing, these clients are among the tens of thousands of businesses that run 麻豆原创 landscapes on IBM Power servers.

According to a from the IBM Institute for Business Value (IBV), modernizing ERP workloads is essential for driving AI adoption and business growth, with companies embedding AI into ERP systems achieving up to 27% higher ROI. Leveraging 麻豆原创 Cloud ERP Private on IBM technology can support customers as they scale on-premises ERP environments to the cloud and accelerate AI-enabled business workflows.

The platform delivers a flexible hybrid cloud environment, which can help organizations:

• Reduce the total cost of ownership (TCO) of cloud ERP operations, supported by the ability to scale granularly to match business demand and leverage IBM鈥檚 global cloud infrastructure, designed to be highly resilient.
• Migrate to 麻豆原创 Cloud ERP Private and to the 麻豆原创 Business Warehouse (麻豆原创 BW) application as part of the 麻豆原创 Business Data Cloud (麻豆原创 BDC) solution, securely, quickly and with minimal disruption, including support for hybrid cloud and multicloud deployments.
• Mitigate operational and security risk, through IBM Power鈥檚 enterprise-grade resilience and integrated IBM Cloud security and compliance protection.

Modernizing ERP Workloads in More Secure, Scalable Cloud Infrastructure Across Industries

Known for its high security, scalability and reliability, IBM Power servers are ranked as one of the top servers for uptime and availability among 麻豆原创-certified infrastructure, engineered for fewer disruptions and faster migration, supported by the highly resilient and secured IBM Cloud platform. These clients are rapidly migrating on-premises 麻豆原创 software systems to the cloud, modernizing business processes and becoming more agile:

• JYSK, the international home furnishing retailer based in Denmark, is advancing its global modernization journey with IBM and 麻豆原创. With more than 3,600 stores in 50 countries, the retailer needs its 麻豆原创 software landscape to be more secure, scalable and future-ready to enable it to keep up with the demands of its global business. JYSK has a long history with IBM technologies and continues to work with IBM to advance in their RISE with 麻豆原创 journey.
• DIFARE Group, a leading pharmaceutical manufacturing company based in Ecuador, required a robust, secure and scalable infrastructure to modernize its 麻豆原创 software landscape and support critical business operations. As long-term users of IBM Power servers, DIFARE Group continues to place its confidence in IBM technology and has expanded into RISE with 麻豆原创 on IBM Power Virtual Server to help move to the cloud faster and more cost effectively.
• Plastilene Group, an innovator, developer and manufacturer of flexible film solutions in Colombia, chose IBM technologies to modernize its 麻豆原创 software landscape. With the ability for the solution to deliver better TCO, Plastilene can continue its focus on growth and regional diversification.
• GBM, a leading IT services company in Central America and the Caribbean, is focused on improving agility, scalability and real-time insight to better support its customers. By leveraging IBM technology curated for 麻豆原创 Cloud ERP Private to help gain reliability, security and high performance, GBM is creating a strong foundation to adopt 麻豆原创 software innovations and drive continuous transformation across the organization.

Industry-Leading 麻豆原创-Certified Infrastructure Enables Cloud Modernization

鈥淎s enterprises modernize, the journey to 麻豆原创 Cloud ERP Private is dedicated to helping on-premises customers of 麻豆原创 ERP tailor their transformation and bring business applications, data and AI together with 麻豆原创 Business AI Platform. Some of these customers are now modernizing their cloud ERP landscapes and advancing their cloud ERP digital transformation strategies with 麻豆原创 solutions on IBM Power Virtual Server,鈥� said Lalit Patil, CTO for RISE with 麻豆原创 and Head of Cloud Lifecycle Engineering and Operations, 麻豆原创 SE.

鈥淥rganizations across industries are accelerating their move to 麻豆原创 Cloud ERP Private and require a trusted cloud platform designed for mission鈥慶ritical workloads,鈥� said Hillery Hunter, General Manager for IBM Power, CTO, IBM Infrastructure. 鈥淏y combining the security, scalability and resiliency of IBM Power and IBM Cloud with the transformation capabilities of 麻豆原创 Cloud ERP Private, we are committed to helping clients move forward with confidence on their modernization journeys.鈥�

IBM is a full lifecycle strategic partner of 麻豆原创, providing end-to-end consulting and technology solutions for 麻豆原创 customers including hybrid cloud, automation and agentic AI. IBM and 麻豆原创 recently progress across AI and agentic capabilities to help accelerate enterprise transformation, including an expanded collaboration through the Agent2Agent (A2A) interoperability standard to perform complex multi-agent services for clients. IBM Consulting Advantage can now manage Joule Agents, which work directly with IBM鈥檚 watsonx Orchestrate agents.

For more information about 麻豆原创 Cloud ERP Private on IBM Power Virtual Server, visit: .

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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The agreement, concluded at the end of 2025, marks a significant step in migrating Nokia鈥檚 麻豆原创 landscape to the RISE with 麻豆原创 journey. By adopting RISE with 麻豆原创 Methodology, Nokia will follow a structured, end-to-end approach to migrating its ERP landscape covering processes, data, applications and operating models while gaining continuous access to innovation and embedded AI capabilities delivered through 麻豆原创鈥檚 cloud ERP portfolio.

Nokia has selected Microsoft Azure as the cloud platform underpinning the transformation, providing the global scale, security and performance required to support the company鈥檚 most business-critical enterprise workloads. 鈥淣okia鈥檚 decision reflects a clear commitment to business-led transformation,鈥� said , Global President Customer Success Europe, APAC, Middle East and Africa and Member of the Extended Board, 麻豆原创 SE. 鈥淩ISE with 麻豆原创 Methodology provides Nokia with a structured road map, integrated toolchain and continuous access to innovation. It enables the company to modernize its ERP landscape while keeping a clean core and building a strong foundation for enterprise AI.鈥�

A Structured Approach to ERP Transformation

RISE with 麻豆原创 is designed as a comprehensive business transformation framework rather than a point solution. It combines a standardized transformation methodology, integrated tools and expert guidance to help organizations move from legacy ERP environments to RISE with 麻豆原创.

麻豆原创 will operate and manage the 麻豆原创 S/4HANA software environment in the cloud, allowing Nokia to shift focus from infrastructure management to business outcomes. The approach supports process standardization, operational simplification and ongoing innovation, rather than a one-time system migration.

Nokia has been on a business and technical transformation journey with its next-generation 麻豆原创 S/4HANA software environment, covering finance and key logistics capabilities, supported by 麻豆原创 solutions and applications. These include 麻豆原创 S/4HANA for central finance, 麻豆原创 Master Data Governance, 麻豆原创 Extended Warehouse Management, 麻豆原创 Global Trade Services and 麻豆原创 S/4HANA Cloud for advanced ATP. AI-enabled functionality embedded in 麻豆原创鈥檚 cloud applications will be progressively adopted as part of the journey.

鈥淭his agreement builds on our existing work with 麻豆原创 and Microsoft and supports Nokia鈥檚 ambition to secure how we run our core business operations,鈥� said Marek O膷kay, VP, Global Head of IT Procurement & Vendor Management, Nokia. 鈥淏y applying RISE with 麻豆原创 Methodology on Microsoft Azure, we are strengthening a structured and future ready path for business growth 鈥� one that simplifies our ERP landscape, enables continuous innovation and strengthens our commitment for AI driven processes.鈥�

Microsoft Azure as the Cloud Foundation

Microsoft Azure will serve as the cloud foundation for Nokia鈥檚 RISE with 麻豆原创 journey, aligning with Nokia鈥檚 broader cloud and data strategy. Nokia already operates parts of its 麻豆原创 landscape on Azure, and consolidating workloads on a single hyperscale platform is expected to deliver benefits in performance, security latency and operational resilience.

As part of the agreement, Microsoft will collaborate closely with 麻豆原创 and Nokia throughout the transformation, supporting migration activities and ongoing optimization.

鈥淭his collaboration demonstrates how cloud platforms, enterprise applications and AI can come together to support complex, global business transformations,鈥� said Joacim Damgard, CVP, Europe North Microsoft. 鈥淏y running 麻豆原创 S/4HANA on Azure within the RISE with 麻豆原创 journey, Nokia is creating a scalable and secure foundation for continuous innovation.鈥�

Building on a Longstanding 麻豆原创 Relationship

Nokia has been an 麻豆原创 customer for decades. In recent years, the company has been consolidating multiple ERP systems into a unified 麻豆原创 S/4HANA software landscape as part of its next-generation ERP program.

The move to RISE with 麻豆原创 helps secure that journey, providing a structured methodology to help accelerate transformation, reduce complexity and unlock cloud native capabilities.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

麻豆原创 is therefore one of only a few providers in Germany that will be offering a cloud environment whose key security components have received corresponding authorization to use from the BSI 鈥� and currently the only provider whose platform will be able to support both 麻豆原创 applications and customer-specific applications in a high-performance, VS-NfD-compliant environment in the near future.

The authorization to use applies to workloads running on 麻豆原创 Cloud Infrastructure in 麻豆原创鈥檚 own data centers in the Walldorf/St. Leon-Rot region, which are operated exclusively by security-cleared personnel. The authorization to use represents an important milestone and forms the basis for the subsequent full BSI approval 麻豆原创 is working toward, including the recertification of 麻豆原创 Cloud Infrastructure according to ISO 27001 based on the German IT-Grundschutz framework.

The evaluation process was completed in approximately 12 months and was characterized by close and constructive cooperation between the BSI and 麻豆原创 鈥� a sign of the growing collaboration between public authorities and industry in the field of IT security.

麻豆原创 Cloud Infrastructure: A Fully Sovereign Cloud Infrastructure from Germany

麻豆原创 Cloud Infrastructure is an Infrastructure-as-a-Service (IaaS) platform fully developed and operated by 麻豆原创, based on open-source technologies.

It is designed to provide customers : data sovereignty, operational sovereignty, technical sovereignty and legal sovereignty.

The foundation is a fully sovereign cloud region of 麻豆原创 Cloud Infrastructure, comprising three independent availability zones in physically separated data centers in Walldorf/St. Leon-Rot. This sovereign cloud platform is further reinforced by a , demonstrated through certifications including ISO/IEC 27001 based on IT-Grundschutz for the data centers, EN 50600/ISO/IEC 22237, TSI Level 3+ and C5 Type II. Additionally, 麻豆原创 Cloud Infrastructure has conducted a self-assessment against the BSI’s C3A (Criteria enabling Cloud Computing Autonomy) catalog, confirming compliance with all digital sovereignty requirements.

The VS-NfD authorization to use adds an important building block for security-critical use cases with the highest requirements.

As a deployment option within , 麻豆原创 Cloud Infrastructure is an integral part of 麻豆原创鈥檚 portfolio for digital sovereignty. Together with the 麻豆原创 Sovereign Cloud On-Site offering and Delos Cloud, 麻豆原创 provides customers with demanding regulatory requirements the freedom of choice, control, and robust security they need.

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WALLDORF 鈥斅�, rated A1 (stable) by Moody鈥檚 and A+ (stable) by S&P Global, successfully completed a Eurobond transaction with a total volume of 鈧�3.5 billion across four tranches with tenors of two, three, five and seven years. The net proceeds from this transaction are used for general corporate purposes, including (re)financing of recently announced acquisitions.

This announcement does not contain or constitute an offer of, or the solicitation of an offer to buy or subscribe for, securities to any person in Australia, Canada, Japan, Singapore or the United States of America (the 鈥淯nited States鈥�) or in any jurisdiction to whom or in which such offer or solicitation is unlawful. The securities referred to herein may not be offered or sold in the United States or to, or for the account or benefit of, U.S. persons, absent registration under the U.S. Securities Act of 1933, as amended (the 鈥淪ecurities Act鈥�) except pursuant to an exemption from, or in a transaction not subject to, the registration requirements of the Securities Act. Subject to certain exceptions, the securities referred to herein may not be offered or sold in Australia, Canada, Japan or Singapore or to, or for the account or benefit of, any national, resident or citizen of Australia, Canada, Japan or Singapore. The offer and sale of the securities referred to herein has not been and will not be registered under the Securities Act or under the applicable securities laws of Australia, Canada, Japan or Singapore. There will be no public offer of the securities in the United States.

This announcement is a general information and not a prospectus for the purposes of Regulation (EU) 2017/1129. Investors should not purchase or subscribe for any securities referred to in this announcement except on the basis of information in the prospectus relating to such securities, which, when published, will be available on the website of the Luxembourg Stock Exchange ().

This announcement is directed at and/or for distribution in the United Kingdom only to (i) persons who have professional experience in matters relating to investments falling within article 19(5) of the Financial Services and Markets Act 2000 (Financial Promotion) Order 2005 (the 鈥淥rder鈥�) or (ii) high net worth entities falling within article 49(2) of the Order or (iii) persons to whom it would otherwise be lawful to distribute it (all such persons are referred to herein as 鈥渞elevant persons鈥�). This announcement is directed only at relevant persons. Any person who is not a relevant person should not act or rely on this announcement or any of its contents. Any investment or investment activity to which this announcement relates is available only to relevant persons and will be engaged in only with relevant persons.

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The approach enables the company to scale AI use cases across the business, accelerate decision-making and deliver measurable operational impact. By combining a governed data foundation with the Joule solution and this foundation, Ericsson is creating the enterprise architecture needed to make AI trusted, repeatable and scalable across its global operations.

Ericsson, which celebrates its 150th anniversary this year, provides mobile network infrastructure across 180 countries, with more than 40% of the world鈥檚 mobile traffic passing through its networks. As AI becomes central to both its technology road map and how it runs the business, Ericsson has prioritized building a strong, governed data foundation to support scalable and trusted AI.

鈥淥nce you scale AI, it stops being an AI problem鈥攁nd becomes a data problem,鈥� said Esra Kocat眉rk Norell, Vice President, Customer Experience, Enterprise IT at Ericsson. 鈥淭hat鈥檚 why we invested early in a business data fabric. With 麻豆原创 Business Data Cloud, we can define what data means once鈥攆rom revenue to market structures and access rules鈥攁nd apply it consistently across the enterprise. That鈥檚 what allows us to scale AI in a way that is trusted, repeatable and delivers real business value.鈥�

At the core of Ericsson鈥檚 approach is a federated data architecture that allows data to remain in place while centrally managing business semantics, governance and lifecycle policies. This reduces duplication, simplifies integration and ensures that consistent business definitions can be applied across both 麻豆原创 software and non-麻豆原创 environments.

By focusing on high-impact use cases and organizing around end-to-end business processes rather than isolated solutions, Ericsson has moved beyond pilot projects to scaled deployment. Today, more than 85,000 users are live on unified Joule, supported by strong executive sponsorship and governance.

Ericsson is advancing its transformation on two parallel fronts. The first is modernization, including its transition to the RISE with 麻豆原创 journey, the use of side-by-side extensions on 麻豆原创 Business Technology Platform and a clean core approach that enables faster innovation without disrupting its ERP backbone. The second is what the company defines as 鈥渋nnovate and transform,鈥� focused on unlocking tangible business value from data and AI to improve decision-making, increase efficiency and enable new forms of value creation.

麻豆原创 and Ericsson are also collaborating on AI co-innovation initiatives. One example is an intelligent goal recommendation capability developed within the 麻豆原创 SuccessFactors portfolio. The solution generates contextual, business-aligned goals for employees, improving execution and reducing administrative effort. The capability is now being scaled more broadly, demonstrating how co-innovation can create value beyond a single organization.

鈥淓ricsson鈥檚 approach shows how leading companies are moving from AI experimentation to execution by focusing on data, governance and business context,鈥� said Manos Raptopoulos, Global President Customer Success Europe, APAC, Middle East and Africa at 麻豆原创 SE. 鈥淭ogether, we are helping organizations unlock the full potential of AI at scale.鈥�

Looking ahead, Ericsson expects its business data fabric to support increasingly advanced AI scenarios, including automated decision-making, improved productivity and new digital business models, while continuing to strengthen customer experiences in a rapidly evolving telecom landscape.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
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The objective of this collaboration is to digitalize procedures, improve efficiency and deliver better services to municipal employees and citizens in the areas of finance, revenue management and human resources.

The Madrid City Council has been working with 麻豆原创 software for two decades. It began in 2004 with the implementation of the first solutions in the areas of finance and HR, and in 2020 launched its public administration modernization project with the migration to the private cloud. This process is now advancing further with the adoption of the RISE with 麻豆原创 journey and 麻豆原创 Business Technology Platform (麻豆原创 BTP). The former is a comprehensive journey that combines the elements needed to migrate to the private cloud under a single contract: 麻豆原创 S/4HANA, infrastructure and managed services. The latter is the platform for integration, extension and application development.

A New Public Management Model

The adoption of these technologies represents a true revolution in the way municipal procedures are managed, from budgeting, execution and control of revenues and expenditures to the comprehensive management of human resources. This approach makes it possible to move beyond traditional models based on fragmented systems toward unified management with real-time information and digitalized processes.

The transformation has a particularly significant impact in the tax domain, as part of the project includes the integration of tax and revenue management solutions from 麻豆原创 into the city鈥檚 financial platform. This enables municipal revenues to be managed as a natural extension of the financial system, eliminating isolated developments and facilitating an end-to-end view of the full cycle, from taxpayer registration and assessment to collection and inspection. As a result, operational efficiency is improved while strengthening financial control and budget planning capabilities.

Currently, two-thirds of the City Council鈥檚 tax revenues are already managed within this environment, including Property Tax (IBI), the Urban Waste Tax for Business Activities (TRUA), Capital Gains Tax (IIVTNU) and the Terrace Tax (T2 2023). The next step will be to incorporate the Motor Vehicle Tax (IVTM) and the Economic Activities Tax (IAE).

The project has been developed using a phased methodology. During the first year, the City Council carried out a cleansing and harmonization of master data from its previous management systems (GIIM and +TIL), cross-checking identities with police databases, tax addresses with the Spanish Tax Agency (AEAT) and addresses with the municipal street registry. This process generated taxpayer 鈥淕olden Records鈥� and enabled, for example, an efficiency rate of 98.02% for Property Tax (IBI) in 2024. Data quality continues to be maintained for all new registrations.

According to Juan Corro, IT Manager of Madrid City Council (IAM), 鈥溌槎乖� technology offers us an extraordinary opportunity to accelerate our digital transformation and make the vision of a more efficient, innovative and citizen-centric local government a tangible reality. This project marks a paradigm shift: we are moving from managing paper files and isolated systems to managing information and processes in an integrated and intelligent way, with a 360-degree view. As a major capital city, Madrid has both the responsibility and the opportunity to position itself at the forefront of administrative modernization, serving as a benchmark for other municipalities.鈥�

Carlos Lacerda, Senior Vice President and Managing Director of 麻豆原创 Southern Europe, stated: 鈥溌槎乖� remains firmly committed to the Spanish public sector, which we have supported in its modernization processes for decades. This project is a benchmark for advanced digital administration and demonstrates how technology can act as a strategic enabler to simplify processes, integrate information and strengthen real-time data-driven decision-making, laying the foundation for a more agile, innovative and service-oriented public administration.鈥�

Benefits for the Administration and Citizens

The project is delivering benefits both in terms of internal efficiency and management, as well as citizen services:

• End-to-end process digitalization and a 鈥減aperless鈥� administration: The 鈥減aperless鈥� administration model has been consolidated, enabling the full digitalization of HR processes from start to finish. Requests are managed entirely through the municipal intranet. Internally, public employees can review and approve procedures with full traceability and in just a few steps, reducing processing times and errors caused by duplicate data. The result is a more agile, efficient and nearly 24/7 service that improves both the employee experience and citizen services.
• Operational efficiency and improved decision-making: Automation and AI capabilities integrated into the ERP system allow the City Council to significantly improve efficiency and productivity. Routine processes such as bank reconciliations and budget allocations are automated through rules and machine learning. In addition, the use of robotic process automation and services on 麻豆原创 BTP facilitates the automatic execution of repetitive tasks across systems. This reduces manual workload, minimizes errors and frees up time. Real-time analytics improve decision-making and, together with mobile and remote access to applications, enable more agile and flexible management.
• A more sustainable and efficient model: The implementation of RISE with 麻豆原创 enables the City Council to move toward a more sustainable and economically efficient IT model, based on subscription and pay-per-use principles. This approach reduces upfront investments, provides greater budget predictability and optimizes total cost of ownership. By scaling deployments according to municipal needs and paying only for required resources, the city improves responsible management of public funds while generating potential long-term savings.
• Greater adaptability and evolution: The City Council now has a flexible platform ready to evolve alongside technological, regulatory and social changes. The municipality will be able to align with national and European digital agendas, incorporate AI and advanced analytics capabilities, and evolve toward a smart administration model where data becomes a strategic enabler of better public policies.
• Continuous innovation: 麻豆原创 BTP is the innovation platform that integrates internal systems and third-party solutions, eliminating information silos. It also enables the rapid adoption of new technologies and responsiveness to changing needs and supports the City Council not only in modernizing processes but also in continuously evolving and launching innovative public administration initiatives.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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In an industry rapidly shifting toward AI-powered operations, Martur Fompak International saw an opportunity to reimagine its material flow through the strategic implementation of technology. Building on the efficient, people-driven processes it already had in place, the company partnered with 麻豆原创 and Humanoid鈥攁 UK-based robotics and AI company鈥攖o explore how integrating embodied AI鈥損owered robotics could redefine material flow across its automotive manufacturing environment. Using Joule and embodied AI capabilities from 麻豆原创, Martur Fompak International now connects production signals and business context directly to autonomous execution, creating a context-aware automation system that prioritizes, picks and delivers materials while adapting in real time to changing business conditions.

Built on 麻豆原创 S/4HANA and enabled by the 麻豆原创 Extended Warehouse Management application, the solution enriches humanoid robots with real-time knowledge of tasks, attributes and exception handling. Guided by material data, storage locations, sequencing and production priorities provided via embodied AI, humanoid robots execute material flows across a live automotive manufacturing environment鈥攊dentifying, transporting and delivering materials to the line while continuously confirming back into 麻豆原创 solutions. Together with autonomous mobile robots (AMRs), the company has created a fully automated, scalable material flow that boosts throughput, improves accuracy and reduces reliance on manual coordination. By assigning repetitive, non-value-adding and physically demanding tasks to robots, Martur Fompak International is enabling its people to focus on safer, more meaningful and higher-value work that drives productivity and innovation.

鈥淥ur humanoid robot collaborates with digital production systems to ensure seamless coordination across order management, logistics and production, enabling scalable AI adoption and improving efficiency, consistency and operational resilience,鈥� said 脰zlem Alt谋n谋艧谋k, Group Intelligent Technologies Director at Martur Fompak International. 鈥淭he deployment of our humanoid solution, powered by an embodied AI layer and enabled through the Joule Studio solution, proves that combining cognitive autonomy with physical automation can transform execution, accelerate decisions and scale intelligent enterprise capabilities across the organization.鈥�

鈥淢artur Fompak International exemplifies what it means to turn AI ambition into real business value on the shop floor,鈥� said Emmanuel Raptopoulos, Chief Revenue Officer, EMEA, MEE and APAC, 麻豆原创 SE. 鈥淏y embedding 麻豆原创 Business AI directly into their physical operations, they are not only boosting throughput and operational resilience鈥攖hey are setting a new standard for what an intelligent, AI-first factory looks like. This is exactly the kind of end-to-end transformation that defines the future of manufacturing. We are proud to congratulate Martur Fompak International on being named the sole winner in the AI Excellence category at the 2026 麻豆原创 Innovation Awards鈥攁 testament to their boldness in turning intelligent enterprise vision into real-world impact.鈥�

Early results show increased throughput, fewer errors and a scalable, AI-driven intralogistics model. A future target of up to five times greater work efficiency has been set for mass production, with work orders expected to be completed faster, more consistently and with greater precision across production flows. With 400 daily production line feeds and 100% 麻豆原创 software鈥揹riven decision making already in place, Martur Fompak International is advancing beyond traditional automation, pioneering a scalable, intelligent factory that represents a new standard for the automotive industry.

Looking ahead, Martur Fompak International plans to further expand its autonomous operations across additional production lines, leveraging 麻豆原创 Business Technology Platform to scale AI-driven workflows and integrations鈥攕upporting both operational efficiency goals and broader sustainability commitments.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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The company introduces a unified 麻豆原创 Business AI Platform, deepening partnerships with Anthropic, Amazon Web Services, Google Cloud, Microsoft, NVIDIA and Palantir

ORLANDO聽鈥� At 麻豆原创 Sapphire in 2026, (NYSE: 麻豆原创) introduced the to help enhance the world’s most critical business workflows, so that humans and AI work together to meet the accelerating demands of global business profitably, strategically and safely.

鈥淔or the mission-critical processes of our customers, ‘almost right’ just isn鈥檛 good enough,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y uniting 麻豆原创 Business AI Platform with 麻豆原创 Autonomous Suite, we anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes, unlocking new sources of revenue and meaningful cost savings.鈥�

The Autonomous Enterprise includes a unified AI platform for building, contextualizing and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

Introducing 麻豆原创 Business AI Platform

麻豆原创 Business AI Platform is a new foundation for building and deploying enterprise AI grounded in real business context. 麻豆原创 Business AI Platform now unifies 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud and 麻豆原创 Business AI into a single, governed environment.

At its core is the 麻豆原创 Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer’s 麻豆原创 landscape. Joule Studio is 麻豆原创’s AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code and AI frameworks of their choice on 麻豆原创-managed infrastructure that is secure, scalable and optimized for enterprise AI.

Deploying 麻豆原创 Autonomous Suite Across Every Business Function and Industry

Building on this foundation, 麻豆原创 also introduced 麻豆原创 Autonomous Suite, which enables 麻豆原创’s existing business applications with AI agents capable of running processes from start-to-finish.

The suite will deploy more than 50 domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate end-to-end processes by orchestrating a subset of over 200 specialized agents to execute precise tasks. For example, the new Autonomous Close Assistant can compress the financial close process from weeks to days by automating journal entries, reconciliation and error resolution across the entire process.

麻豆原创 also launched Industry AI, expanding its deep industry portfolio through seven autonomous solutions that will enable start-to-finish industry processes and embed sector-specific process logic, data models and regulatory requirements. At 麻豆原创 Sapphire, 麻豆原创 showcased its work with European energy giant RWE to leverage Industry AI, helping reduce unplanned downtime across its offshore wind turbines. With 麻豆原创’s Autonomous Asset Management scenario, AI agents are designed to analyze data from thousands of past incidents, identify the likely root cause and generate pre-filled work orders with the right tools and proven fixes from other sites.

Designing the Autonomous User Experience

The company also revealed Joule Work, redefining how users engage with 麻豆原创 software. Instead of navigating individual applications and entering data across several screens, users will now interact primarily with Joule. By describing a desired business outcome, Joule will orchestrate the right combination of workflows, data and agents to get it done.

Joule Work goes beyond conversation, proactively surfacing relevant insights and automating routine tasks behind the scenes so work moves forward even when humans aren’t actively steering it. It will be available on desktop, mobile and voice across 麻豆原创 and non-麻豆原创 systems.

Accelerating the Customer Journey Toward Autonomy with 鈧�100 Million Infusion

麻豆原创 evolved its customer and partner programs to help accelerate the organization’s journey to the Autonomous Enterprise. To catalyze adoption, the company has launched a 鈧�100 million fund for 麻豆原创 partners to help customers deploy 麻豆原创-built AI assistants and agents. The fund is also available to partners that extend or build new partner agents on the new 麻豆原创 Business AI Platform using Joule Studio.

麻豆原创 has enhanced its RISE with 麻豆原创 and 麻豆原创 GROW offerings to accelerate AI adoption. Both include access to the Joule Assistants portfolio; RISE with 麻豆原创 customers will have three assistants activated within their first year, while 麻豆原创 GROW customers receive full portfolio access at onboarding. 麻豆原创 S/4HANA on-premises and 麻豆原创 ERP Central Component (麻豆原创 ECC) customers are not excluded: those that commit to transitioning the majority of their current landscape to 麻豆原创 Cloud ERP gain access to select AI scenarios, bridging the gap between their current landscape and their cloud destination

麻豆原创 also introduced new agent-led transformation tooling that can reduce ERP migration efforts by more than 35 percent, driving faster and more predictable projects by automating system analysis, code remediation, configuration and testing at scale.

Lastly, 麻豆原创 announced a full slate of strategic partnerships across each category:

• Platform and suite partnerships include Anthropic, with Claude among the foundation models 麻豆原创鈥檚 AI platform will leverage to power Joule agents across HR, procurement and supply chain; Amazon Web Services, bringing zero-copy data integration between 麻豆原创 Business Data Cloud and Amazon Athena; Google Cloud and Microsoft, enabling bidirectional agent-to-agent interoperability between Joule and external agent frameworks; Mistral AI and Cohere, delivering sovereign model options on 麻豆原创’s cloud infrastructure; , providing visual AI workflow orchestration inside Joule Studio; NVIDIA, whose OpenShell provides the trusted secure runtime for Joule Studio; and , bringing AI agents into 麻豆原创 Service Cloud to handle customer interactions with full access to business data and service processes.
• Implementation partnerships include Palantir and Accenture, partnering on complex data migration scenarios, and for AI-powered cloud ERP migrations.

.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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The acquisition helps customers make their 麻豆原创 and non-麻豆原创 enterprise data AI-ready and will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

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Media Contacts:
Aim茅e Leabon, +1 (646) 799-3277, aimee.leabon@sap.com, EST 
Daniel Reinhardt, +49 151 168 10 157,鈥�daniel.reinhardt@sap.com, CEST  
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
漏 2026 麻豆原创 SE. All rights reserved.  
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.  

Acquisition doubles down on 麻豆原创鈥檚 early mover advantage in tabular foundation models

WALLDORF and FREIBURG听鈥斅犅�(NYSE: 麻豆原创) and Prior Labs, the pioneer of Tabular Foundation Models (TFMs), announced that they have entered into a definitive agreement for 麻豆原创 to purchase Prior Labs, accelerating 麻豆原创鈥檚 success in TFMs that started with 麻豆原创-RPT-1, and bringing one of the world鈥檚 leading TFM research teams into the 麻豆原创 family.

Prior Labs will continue to operate as an independent entity, with 麻豆原创 committing to invest more than 鈧�1 billion over the next four years to scale it into a globally leading frontier AI lab for the structured data that runs the world鈥檚 businesses. Terms of the deal were not disclosed. The transaction is still pending regulatory approval.

Large language models (LLMs) struggle to make accurate predictions on structured business data because they have only a rudimentary understanding of tables, numbers and statistics. Unlike LLMs, TFMs are purpose-built for this type of data and can accurately predict business outcomes based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk and more.

鈥淓arly on, 麻豆原创 recognized that the greatest untapped opportunity in enterprise AI wasn鈥檛 large language models; it was AI built for the structured data that runs the world鈥檚 businesses,鈥� 麻豆原创 CTO Philipp Herzig said. 鈥淲e built 麻豆原创-RPT-1 to prove that conviction for enterprise data. Prior Labs has built a leading TFM on public benchmarks and built one of the leading research teams in this category. Combining their frontier model work with enterprise data and customer reach is how we intend to lead this category globally.”

“Over the last 18 months, Prior Labs has built an incredible team, increasing the velocity in tabular foundation models,” Prior Labs CEO Frank Hutter said. “Joining the 麻豆原创 family gives us the resources, data environment and customer reach to take this category to its full potential.”

Once the transaction is closed, with Prior Labs, 麻豆原创 will have the special opportunity to establish an industry-leading AI research lab and shape a new category in TFMs. The lab will operate as an independent unit to ensure research velocity, while 麻豆原创 provides long-term investment and a direct path to productization across the 麻豆原创 portfolio with 麻豆原创 AI Core and 麻豆原创 Business Data Cloud as well as the agentic layer with Joule.

With over 3 million downloads, Prior Labs鈥� TabPFN is a widely adopted open-source tool for tabular AI, supporting a dynamic developer ecosystem. 麻豆原创 is fully committed to further support this open-source strategy. The Prior Labs cofounders Frank Hutter, Noah Hollmann and Sauraj Gambhir lead a team of world-class AI researchers and practitioners. The company works with leading scientists in the field, including聽Yann聽LeCun,聽ACM A.M. Turing Award winner and executive chairman at Advanced Machine Intelligence,听补苍诲听Bernhard Schoelkopf, director of Max Planck Institute for Intelligent Systems and ELLIS president, both of whom will serve on Prior Labs鈥� scientific advisory board as it scales to a globally leading frontier AI lab.

Accelerating Innovation

Prior Labs鈥� TabPFN-2.6 is the top-performing model on TabArena, the top benchmark for TFMs. TabPFN-2.6 matches the accuracy of a four-hour automated machine learning pipeline 鈥� instantly, in a single model, at a fraction of the complexity.

With a conversational interface layered on top, business users can ask questions in natural language, generate or select datasets and run 鈥渨hat-if鈥� scenarios without needing to be data science and machine learning experts. With Prior Labs鈥� models, 麻豆原创 will provide in-context learning, allowing users to provide data records to receive instant, reliable predictions without any model training. A single TFM can adapt to any business use case on the fly, resulting in faster time to value with GDPR compliance.

With Prior Labs, 麻豆原创 will deliver TFMs with superior predictive capability that understand tables natively, learning statistical reasoning directly from data and will power agentic AI systems capable of understanding high-level goals, combining tables, language and images to reason, integrate domain knowledge, infer causality and adapt dynamically.

After the close, 麻豆原创 and Prior Labs plan to turn top AI research into enterprise-ready innovation, allowing customers to get even more value out of their tabular business data.聽True intelligence requires moving beyond correlation to understand聽causation. Answering “What will happen?” is聽useful, but聽answering why聽it聽will happen is transformative.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Prior Labs

Prior Labs is the pioneer of Tabular Foundation Models, a new category of AI purpose-built for structured data. Founded by Frank Hutter, Noah Hollmann & Sauraj Gambhir, Prior Labs鈥� TabPFN model series, published in Nature, set the state-of-the-art on tabular benchmarks across hundreds of independent academic studies. Prior Labs is scaling tabular foundation models to handle millions of rows, real-time inference, and entirely new data modalities, while building the infrastructure to deploy them in production across some of the most demanding industries on earth.

Headquartered in Freiburg, Germany, and offices in Berlin and New York City, Prior Labs has built one of the leading AI research teams globally, with researchers recruited from Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN.

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Terms of the deal were not disclosed. The transaction is still pending regulatory approval.

Most enterprise AI projects fail to deliver value not because of the AI itself, but because the underlying data is fragmented, locked in proprietary formats and stripped of the business context that makes it meaningful. The result is a familiar and costly pattern: pilots that cannot scale, slow integration of new data sources, duplicated engineering work and compliance risk when organizations cannot explain how an AI-driven decision was reached. Dremio helps eliminate that data fragmentation and integration friction. The acquisition will complement the 麻豆原创 Business Data Cloud and 麻豆原创 HANA Cloud offerings to ensure seamless data integration across 麻豆原创 and non-麻豆原创 data with high performance and low cost to accelerate AI-ready context and time-to-value for AI.

“Enterprise AI doesn鈥檛 stall because the models aren鈥檛 good enough; it stalls because the data isn鈥檛 ready for AI agents,” said Philipp Herzig, CTO, 麻豆原创 SE. ” Dremio eliminates that bottleneck. Combined with 麻豆原创 Business Data Cloud, we can now take customers from raw, fragmented data to governed, AI-ready intelligence on a single open platform.”

With Dremio, 麻豆原创 Business Data Cloud will become an Apache Iceberg-native enterprise lakehouse that unifies 麻豆原创 and non-麻豆原创 data to power agentic AI at enterprise scale. Apache Iceberg is the industry-standard open table format, and 麻豆原创 Business Data Cloud will natively support it as its foundation. This means no data movement or format conversion will be necessary. 麻豆原创 and non-麻豆原创 data can coexist on the same open foundation, with federated analytical reach across every enterprise data source, combined with 麻豆原创 HANA Cloud鈥檚 in-memory engine for real-time transactions and operational performance.

The Dremio lakehouse platform is set to vastly improve the economics of enterprise analytics. It is serverless and elastic, scaling up automatically when demand spikes and scaling back down when it subsides, meaning no fixed capacity to provision and no performance ceiling when it matters most.

With Dremio, 麻豆原创 will deliver a universal, open catalog built on Apache Polaris and the open Apache Iceberg REST Catalog API. It serves as both the discovery and semantic layer of 麻豆原创 Business Data Cloud, giving every connected engine 鈥� 麻豆原创 or non-麻豆原创 鈥� a single point of access to unified business context: meaning, relationships, access rights and data lineage. This catalog will form the foundation of the 麻豆原创 Knowledge Graph, embedding business relationships, organizational hierarchies, regulatory classifications and cross-system lineage as native properties.

Dremio has been a leading steward of open-source projects at the heart of its platform: Apache Iceberg, Apache Polaris and Apache Arrow, and 麻豆原创 is fully committed to continuing to invest in and prioritize these contributions.

The transaction is expected to close in Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Dremio

Dremio is the Agentic Lakehouse: the only Iceberg-native data platform built for agents and managed by agents. Every knowledge worker and AI agent gets instant, governed access to enterprise data through any LLM or tool of their choice. Federated queries reach any source without ETL pipelines. An AI Semantic layer adds business context so every agent draws from the same source of truth. The lakehouse manages itself, running clustering, optimization, and compaction autonomously. The result: trusted insights that drive better business outcomes, without the infrastructure complexity or overhead. A lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide.

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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At a glance

• Current cloud backlog of 鈧�21.9 billion, up 20% and up 25% at constant currencies
• Cloud revenue up 19% and up 27% at constant currencies
• Cloud ERP Suite revenue up 23% and up 30% at constant currencies
• Total revenue up 6% and up 12% at constant currencies
• IFRS operating profit up 17%, non-IFRS operating profit up 17% and up 24% at constant currencies

Christian Klein, CEO:

鈥淲e had a strong start to the year, with Current Cloud Backlog growing by 25% and Cloud Revenue up 27% at constant currencies. This performance is supported by our momentum in Business AI as we are already delivering real outcomes for customers today. We are growing faster than the market and are gaining share as customers expand across our Suite and with our AI solutions. At Sapphire, we will show how we are taking the next leap forward.鈥�

Dominik Asam, CFO:

鈥淲e delivered a solid start to the year, supported by disciplined execution in revenue and profitability. At the same time, we have remained focused on managing our cost base and maintaining profitability as we navigate an increasingly complex and uncertain macroeconomic and geopolitical environment.鈥�

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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Alexandra Steiger, +49 (6227) 7-60437, alexandra.steiger@sap.com, CEST

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Customers can deploy Joule Agents in 麻豆原创 CX Solutions to build, launch, and optimize marketing campaigns

Gemini Enterprise acts as a central hub for agents to take action across 麻豆原创 and Google Cloud platforms

LAS VEGAS 鈥� (NYSE: 麻豆原创) and Google Cloud today announced a new partnership that will help marketers put AI agents to work at scale.

Through new integrations between the 麻豆原创 Engagement Cloud, 麻豆原创 Customer Experience (麻豆原创 CX) and Joule solutions and Gemini Enterprise, joint customers can now deploy agents that securely access unified data stored across both ecosystems to execute complex marketing strategies based on high-level goals defined by the user.

Together, 麻豆原创 and Google Cloud provide a unified foundation for data and AI agents to operate across both ecosystems. Gemini Enterprise will act as a central hub for data integrations and multi-agent coordination, allowing agents to take action across a customers鈥� 麻豆原创 and Google Cloud solutions. These integrations will be supported by the 麻豆原创 Business Data Cloud Connect solution for Google and BigQuery, which enable bidirectional, zero-copy data access between the two platforms, with enterprise-grade security and governance. Capabilities across both Gemini Enterprise and agent gateway APIs from 麻豆原创 will allow customers鈥� agents to more securely exchange context, trigger actions and optimize outcomes across platforms, enabling true multi-agent orchestration.

The integration allows marketers to prompt an agent within 麻豆原创 Engagement Cloud with a clear objective like, 鈥淚ncrease repeat purchases from the last 30 days,鈥� or 鈥淢aximize customer lifetime value while reducing campaign operational costs.鈥� An agent, like a Joule Agent, will handle the end-to-end process鈥攆rom content personalization to visualization to conversational engagement.

鈥淭his is more than a data integration; it鈥檚 a leap forward for AI agents that can collaborate naturally and execute seamlessly,” said Balaji Balasubramanian, President and Chief Product Officer, 麻豆原创 Customer Experience and Consumer Industries. 鈥淏y combining 麻豆原创 Business Data Cloud Connect for Google with interoperable AI agents across 麻豆原创 and Google Cloud, we鈥檙e giving organizations a path from AI experimentation to AI-enabled customer experience at scale. Marketers can spend less time on manual tasks and more time shaping the customer journey.

鈥淭o realize the full potential of agentic AI, businesses need their systems to speak the same language,鈥� said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. 鈥淏y uniting 麻豆原创鈥檚 enterprise data and customer engagement platform with Google Cloud鈥檚 AI, we鈥檙e enabling marketers to move beyond simple automation to multi-agent orchestration, driving dynamic campaigns that reason and adapt to market shifts in real time.鈥�

According to from 麻豆原创 Engagement Cloud, more than half of marketers say fragmented, outdated data prevents them from acting in the moment. 麻豆原创 and Google Cloud are helping remove that roadblock by unifying data and letting AI agents turn insights into action. Using Joule with 麻豆原创 Engagement Cloud, campaigns can move from planning to activation automatically without manual stitching across tools.

Customers will benefit from autonomous campaign generation, optimization and continuous improved performance. Businesses will achieve faster speed-to-market, lower operational overhead and always-on optimization that drives higher ROI, while giving teams more time to focus on strategy and end-to-end campaign execution.

While marketing is the first example, and will be available to customers in H2 2026, this multi-agent orchestration model is designed to support high-value use cases across the 麻豆原创 CX portfolio, laying the foundation for AI-driven customer experience, powered by trusted, unified real-time data and interoperable agents.

For more information about 麻豆原创 Customer Experience solutions, visit .

For more information about Gemini Enterprise, visit .

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About Google Cloud

Google Cloud offers a powerful, optimized AI stack 鈥� including AI infrastructure, leading models like Gemini, data management capabilities, multicloud security solutions, developer tools and platform, as well as agents and applications 鈥� that enables organizations to transform their business for the Agentic Era. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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Global Customer Center: +49 180 534-34-24
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漏 2026 麻豆原创 SE. All rights reserved.
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The announcement was made at HANNOVER MESSE 2026, where they showcased PacXplorer, a high-tech packaging machine from Uhlmann that serves as both an industrial demonstrator and a development platform.

PacXplorer: Connected Production in Industrial Practice

Developed through collaboration within Factory鈥慩, the PacXplorer brings together digital twins, condition monitoring, smart services and interoperable production solutions within a collaborative data ecosystem. Factory鈥慩 is a lighthouse project funded by the German Federal Ministry for Economic Affairs and Energy as part of the Manufacturing鈥慩 initiative. Its objective is to establish a decentralized data space for the capital goods industry, enabling secure and interoperable data exchange across companies and industries for equipment manufacturers and operators alike.

The machine is integrated into 麻豆原创 system landscapes and operated live. It demonstrates how industrial data can be used in a sovereign, interoperable and cross鈥慶ompany manner not as a theoretical model, but in real production operations. This creates transparency regarding asset condition, utilization and performance while laying the foundation for new data鈥慸riven services.

Service as a Key to Resilience

The value of this approach becomes particularly clear in service operations. Where production, data and operations are tightly interconnected, service plays a decisive role in ensuring asset availability, productivity and stable customer relationships. One often underestimated lever is spare parts service: delays lead directly to downtime and economic losses, especially in volatile market and supply situations. At the same time, these processes remain heavily manual in many industrial companies.

麻豆原创 and Uhlmann are deliberately advancing the further development of this area. An AI鈥憇upported process assists throughout the entire workflow from handling incoming inquiries and clarifying missing information to identifying the correct spare part and generating quotations. The approach integrates into existing 麻豆原创 service and sales processes and is closely aligned with real鈥憌orld business operations. The objective is fast, reliable and scalable customer service.

鈥淭oday, industry is less concerned with cost optimization than with decision鈥憁aking under uncertainty,鈥� says Dominik Metzger, President and Chief Product Officer, 麻豆原创 Supply Chain Management, 麻豆原创 SE. 鈥淲ith 麻豆原创 Business AI and integrated production and service solutions, we move decision鈥憁aking directly into business processes. This allows companies to identify risks early, respond with greater flexibility and remain operational even under unstable conditions.鈥�

Rethinking Value Creation Together

The collaboration between 麻豆原创 and Uhlmann illustrates a fundamental shift in industry: resilience is not achieved through additional buffers, but through better, faster and more-connected decisions across the entire value chain. Companies that manage their production and service processes in a data鈥慸riven way can respond more flexibly to change and secure their competitiveness over the long term.

Beyond HANNOVER MESSE, 麻豆原创 and Uhlmann will continue their innovation partnership. Following the event, the PacXplorer will be operated at the S.Factory in 麻豆原创 Experience Center Walldorf, serving as a platform for customers, partners and co鈥慽nnovation to continuously advancing industrial transformation.

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Media Contact:
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Image copyright: 漏Uhlmann Group

麻豆原创 CEO Christian Klein and CFO Dominik Asam will host a financial analyst call to review first quarter results.

Media representatives may may listen in on the virtual analyst via on April 23, 2026, at 11:00 p.m. CEST/5:00 p.m. ET.

“In her role as chief people officer, Gina Vargiu-Breuer has laid important foundations for 麻豆原创’s continued success by strengthening how we attract, develop and lead our people,” said Pekka Ala-Pietil盲, Chairman of the Supervisory Board of 麻豆原创 SE. “We appreciate her energy and dedication and are convinced she will further drive 麻豆原创’s transformation into the age of AI.

“I am grateful for the trust of the Supervisory Board and look forward to shaping 麻豆原创鈥檚 transformation in the age of AI,” said Vargiu-Breuer. “This is about rethinking how we operate as a company: how we work, make decisions and deliver value to our customers. Together with my People & Culture team, we will continue what we started two years ago and turn this transformation into tangible business impact at scale.”

Vargiu-Breuer became a member of the Executive Board of 麻豆原创 SE in 2024. Prior to joining 麻豆原创, she served as Senior Vice President of Human Resources at Siemens Energy. Earlier in her career, Vargiu-Breuer held multiple roles at Siemens AG.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Milan, Italy-based Campari Group is a global leader in the spirits industry. With a portfolio of more than 50 premium brands, including Aperol, Campari, Espol貌n, Wild Turkey, Courvoisier and Grand Marnier, the company markets its products in more than 190 countries and operates 24 production sites worldwide.

鈥淲e鈥檝e embarked on the RISE with 麻豆原创 journey to keep pace with innovations offered by 麻豆原创 Cloud ERP Private and embedded AI capabilities,鈥� said Jos茅 Silva, group head of IT at Campari Group. 鈥淭oday, we can reshape processes in line with business evolution, improve planning and make our supply chain more efficient鈥攅nsuring continuous product distribution worldwide. Moving to a centralized process model enables us to improve productivity and reduce TCO consistently.鈥�

The Campari Group go-live establishes an end-to-end digital architecture built on a core transformation backbone, embedded AI, data unification and IT landscape governance:

• At its foundation, Campari Group unifies finance, supply chain, marketing and human resources on the 麻豆原创 Analytics Cloud, 麻豆原创 Integrated Business Planning and 麻豆原创 Datasphere solutions as well as 麻豆原创 Business Technology Platform. This creates an integrated backbone for planning, analytics and application development.
• Embedded AI across 麻豆原创 solutions is enhancing both operations and employee experience. In 麻豆原创 SuccessFactors solutions, employees use the Joule solution and embedded AI to set and track goals, while 麻豆原创 Concur solutions automate expense matching. AI-assisted capabilities are streamlining order and payment posting, improving decision-making and optimizing operational costs.
• Campari Group is also implementing the 麻豆原创 Business Data Cloud solution to unify 麻豆原创 and third-party software data, delivering timely, contextual insights while preserving core business logic.
• Finally, Campari Group also adopted 麻豆原创 LeanIX solutions to map interdependencies between applications, processes and business owners, enabling more agile, informed decision-making.

鈥淐ampari is one of our best references in the food and beverage sector and is an excellent example of how 麻豆原创 solutions can transform organizational and production processes,鈥� said Carla Masperi, managing director, 麻豆原创 Italy. 鈥淏y combining cloud ERP with AI and data-driven planning, Campari is setting a new standard for digital transformation in the consumer products industry.鈥�

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Top image courtesy of Campari

Media Contact:
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.

Once closed, the acquisition will strengthen 麻豆原创 Business Data Cloud (麻豆原创 BDC)鈥攊ntegral for 麻豆原创’s AI-First and Suite-First strategy鈥攁nd accelerate the evolution of 麻豆原创 BDC to a fully interoperable enterprise data platform for enterprise-wide agentic AI. It will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

“Reltio is a natural fit with 麻豆原创,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. 鈥淎cquiring them will further improve our position as a leading business AI provider, combining 麻豆原创 and non-麻豆原创 data to deliver data context that business AI requires. AI cannot reach its full potential when data is fragmented across business units, platforms and domains without connection or context.鈥�

By integrating Reltio after closing the acquisition, 麻豆原创 will make customers’ enterprise data fully AI-ready. Customers will be able to rely on trusted, high-quality data across 麻豆原创 and non-麻豆原创 sources that Joule and Joule Agents use to deliver faster time-to-value for business AI.

Reltio鈥檚 platform helps organizations manage and govern structured and unstructured enterprise data from start to finish. Its AI-based entity resolution identifies and merges related records from different formats and applications into one reliable 鈥済olden record鈥� system of context. Its cloud-native, AI-first design supports a single, consistent view of customers, products, suppliers, locations and employees across both 麻豆原创 and non-麻豆原创 applications. Customers running AI tasks will benefit from increased reliability and consistency of data, bundled in a single source of truth, improving business AI. With that, customers can trust that AI results are correct, and AI-interactions are resolved fast.

鈥淛oining forces with 麻豆原创 presents a tremendous opportunity for us to accelerate our mission,鈥� Reltio Founder and CEO Manish Sood said. 鈥淓nterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across 麻豆原创 and non-麻豆原创 environments, while maintaining continuity for our customers and our partner ecosystem.鈥�

Reltio’s data cleansing, unification capabilities and agent-driven workflows will work alongside 麻豆原创 Business Suite applications to improve decisions, reduce integration complexity and deliver trusted, consistent data critical for successful business processes and AI use cases. Low latency delivery and support for the Model Context Protocol (MCP) enable real-time, multiagent workflows across 麻豆原创 and non-麻豆原创 environments, allowing AI agents, such as a procurement agent, to assess supplier risk and trigger actions almost instantly using trusted, real-time data. Reltio offers prebuilt, industry-specific 鈥渧elocity packs鈥� that include data models, rules, matching logic and integrations, and solutions tailored to sectors like life sciences, healthcare and financial services.

By integrating Reltio after closing the acquisition, 麻豆原创 intends to accelerate its customers’ ability to govern and expose master data as trusted and context-rich data products across multiple sources that serve both traditional analytics workloads and AI agents. Reltio will become a core capability within 麻豆原创 BDC, with a flexible commercial model where customers can purchase Reltio as a separate solution or with other 麻豆原创 products. The Reltio portfolio will also remain available as a standalone offering for the foreseeable future.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Reltio

Reltio is a leader in data unification and management, delivering cloud-native, AI-native master data management (MDM) to help enterprises create trusted data and unlock context intelligence for analytics, automation, and agentic AI. Designed for complex, multi-vendor environments, Reltio helps organizations unify, cleanse, harmonize, govern, and activate core data from multiple sources in real time鈥攁cross 麻豆原创 and non-麻豆原创 systems. The Reltio Data Cloud uses advanced entity resolution, continuous data quality, and relationship intelligence within an intelligent data graph to connect data across systems and reveal the full context behind customers, products, suppliers, and other key business entities. This enables organizations to reduce data friction, improve operational execution, and accelerate time to trusted decisions. For more information, visit .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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This decision will help Haleon operate, scale and serve consumers in new ways by building stronger, more agile foundations for delivering its trusted everyday health products. It marks a significant milestone in Haleon鈥檚 transformation into a world-class consumer company.

鈥淒elivering a better consumer experience starts with strong foundations, and leading digital technology and infrastructure are at the heart of this,鈥� said Claire Dickson, Haleon鈥檚 chief digital and technology officer. 鈥淥ur latest partnership with 麻豆原创 is another important step in our journey to becoming a world-class consumer company. It will revolutionize how we operate, with AI-enabled systems driving faster, simpler, more integrated ways of working. This will allow our people to focus on what matters most鈥攕erving consumers and unlocking growth.鈥�

麻豆原创 Business Suite will drive the simplification and standardization of critical processes across Haleon鈥檚 global operations, enabling more integrated, automated end-to-end processes across diverse parts of the organization.

With clearer visibility across markets and more intuitive systems replacing fragmented workflows, the business can operate with greater speed, consistency and resilience. These improvements strengthen supply chain responsiveness, support innovation and help Haleon better respond to changing consumer needs. This enables Haleon to deliver trusted everyday health products at scale while strengthening collaboration with the healthcare professionals who recommend its products to consumers worldwide.

Haleon can drive greater business efficiencies by integrating core processes across finance, supply chain, HR and sales in one connected system with real-time data. By building AI into everyday work and embedding it within Haleon鈥檚 digital infrastructure and across its functions, teams can make better data-driven decisions and respond more quickly to changing consumer needs. The automation of routine work across multiple functions frees up employees鈥� time so they can focus on more strategic work that delivers value for the business and consumers while accelerating growth.

This digital transformation program builds on a long-standing relationship between the two companies, with the transition from Haleon鈥檚 current platform on 麻豆原创 ERP Central Component beginning later this year.

鈥淎I outcomes depend on connected processes and trusted data,鈥� said Peter Maier, 麻豆原创鈥檚 senior vice president for strategic customer engagements. 鈥淲ith 麻豆原创 Business Suite, Haleon is building an AI-ready foundation that embeds intelligence across the enterprise, helping simplify operations, improve resilience and scale innovation.鈥�

Haleon plans to adopt 麻豆原创 Cloud ERP applications with embedded AI and deploy the 麻豆原创 Business Data Cloud solution to harmonize 麻豆原创 software and third-party data in a governed, single source of truth. This connected platform will be able to support AI-assisted innovation and enable agentic AI, where AI agents can identify issues earlier and recommend actions across key business processes.

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Media Contacts:
Lawrie Benfield, 麻豆原创, +44 7776515259, lawrie.benfield@sap.com, GMT
Sonya Domanski, 麻豆原创, +44 7345465928, sonya.domanski@sap.com, GMT
麻豆原创 麻豆原创 Room; press@sap.com
Gemma Thomas, Haleon, gemma.x.thomas@haleon.com

The agreement referenced in this announcement was signed outside 麻豆原创鈥檚 first quarter reporting period.

Top image courtesy of Haleon

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.

麻豆原创 is expanding the Joule solution across 麻豆原创 Concur solutions and introducing new automation capabilities:

• A new integration between Joule and Microsoft 365 Copilot, now available, embeds travel and expense tasks into everyday productivity tools. Employees can create and submit expense reports, upload receipts, book travel and receive policy guidance in 麻豆原创 Concur solutions without leaving Microsoft applications.
• Two new Joule Agents further streamline expense compliance and reporting.
  • Expense Automation Agent automatically creates and populates expense reports for employees so all they have to do is review, refine and submit.
  • Expense Pre-Submit Audit Agent validates receipts and flags discrepancies before submission to reduce report rejection and reimbursement delays.
  • Both agents are currently available through the 麻豆原创 Early Adopter Care program with general availability expected later this year.
• New AI-based rule creation tools simplify the complex task of managing policy rules in the Complete by 麻豆原创 Concur and Amex GBT, Concur Travel and Concur Expense solutions.
• The 麻豆原创 Sales Cloud solution now integrates with Booking Agent to streamline workflows and enhance productivity for sales teams.

麻豆原创 Concur and American Express Global Business Travel (Amex GBT) , an AI-enabled codeveloped solution for booking, servicing, payments and expensing. New capabilities include AI-enabled travel support with handoff to a live travel counselor and a specialized home page for travel managers. Concur Expense also integrates with Amex GBT Egencia for customers worldwide.

Joint customers of 麻豆原创 Concur solutions and can now create and manage American Express Virtual Cards in Concur Expense, supporting employee spending with controls and added security. The virtual cards can also be used in Concur Travel. This capability is available now to select U.S.-based American Express庐 Corporate and Business customers using Concur Expense with availability for all such customers planned for Q3 2026.

麻豆原创 Concur teams up with Visa to integrate Concur Expense and Visa through the Visa Commercial Integrated Partner program. Initially, real-time notifications (RTN) from Visa card swipes will automatically create expenses in Concur Expense. This capability is planned to be available through 麻豆原创 Early Adopter Care in Q3 2026. 麻豆原创 Concur solutions will now support RTN from all major credit card networks.

Additionally, 麻豆原创 Concur solutions are advancing corporate travel with enhanced booking, expanded global access and intelligent traveler support. The new experience in Concur Travel supports guest bookings, expanded Cleartrip content in India and additional airline options. TripIt Pro adds Image to Plan with Apple Intelligence and expanded Risk Alerts to help travelers organize itineraries and monitor disruptions.

Learn about鈥痶hese or join the . 

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Media Contact:
Kelly Sheldon Murray, +1 (978) 708-6821,鈥�kelly.murray@sap.com, ET

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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The reimagined portfolio, which includes the Foundational Success Plan, Advanced Success Plan, and Max Success Plan tiers, aims to deliver measurable results and a consistent, ongoing experience for customers. Designed to provide continuous engagement throughout each customer’s journey, the portfolio helps with adoption of the latest innovations and continuous value from a full investment in 麻豆原创 Business Suite.

The updated portfolio addresses the increasing need for organizations to adapt quickly to market changes, adopt AI-driven innovations and support business continuity. Each success plan offers clearly defined tiers of engagement, ranging from self-guided resources and proactive support to strategic and personalized partnership with dedicated experts. These tiers help customers select the right level of guidance for their unique needs.

Foundational Success Plan, included with every cloud solution from 麻豆原创, provides essential onboarding, technical cloud operations and preventive support. This plan is centered around, and expands upon, our well-known 麻豆原创 Enterprise Support offering and is designed to help organizations get solutions running efficiently, enable business continuity and achieve ongoing value. Customers benefit from curated content, learning resources, guided transformation with application lifecycle management solutions and preventive mission-critical support, enabled by AI and all built into the solution subscription at no additional cost.

Building on this, Advanced Success Plan adds specialized expertise and AI-assisted guidance. Organizations receive proactive support to detect risks and optimize processes, as well as activation sessions to deploy new functionality and refine operations. Enhanced-support service level agreements and intelligent tools help maintain peak performance and realize measurable business outcomes.

For enterprises navigating complex transformations, innovating quickly and striving to get the most out of AI, Max Success Plan offers 麻豆原创鈥檚 premium, strategic level of engagement. It includes all the benefits of Advanced Success Plan, plus dedicated success plan managers, cross-solution process improvement and access to customer-specific prototype development to accelerate offerings such as 麻豆原创 Business AI. This tier is built for organizations seeking a true strategic partnership, guiding modernization, reducing risk and accelerating value realization across their 麻豆原创 software landscape.

鈥淥ur evolved 麻豆原创 Services and Support portfolio is designed to help customers operate with ease and apply AI to drive business efficiency. It aims at mastering transformation, innovating at scale and turning decisions into action with clarity and impact,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淏y offering a unified, enterprise-wide engagement model, 麻豆原创 helps customers continually adopt and derive the latest innovations and realize reliable ROI throughout their entire journey.鈥�

Customers can further extend their experience with a streamlined set of professional, development and application management services that leverage 麻豆原创鈥檚 expertise and partner ecosystem. With this enhanced portfolio, 麻豆原创 reaffirms its commitment to orchestrating customer success and enabling organizations to run at their best in a rapidly changing world.

For more information, read the blog post: Orchestrating Continuous Transformation for Stronger Business Outcomes.

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Martin Gwisdalla, +49 (6227) 7-67275, martin.gwisdalla@sap.com, CET
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

The new Board area is designed to strengthen 麻豆原创鈥檚 customer-centric operating model by delivering seamless, end-to-end experience from initial engagement through long-term value realization.

The Customer Value Group will be led by Thomas Saueressig (40), whose role expands to Chief Customer Officer. In this capacity, he will oversee the full customer journey, aligning selling, delivery, services and support driving adoption, renewal and expansion of 麻豆原创鈥檚 cloud and AI-powered solutions. 麻豆原创 Extended Board members Jan Gilg and Manos Raptopoulos will report directly to Saueressig and continue to co-lead the Customer Success organization.

鈥淚n a business where adoption and renewal define success, the lines between selling and delivering disappear,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing Customer Success and Customer Services & Delivery together is the right move now for our customers and for 麻豆原创, as we go all in on AI. Thomas combines deep product expertise with strong experience in services and customer delivery, and he has earned the trust of our customers and teams. I am convinced that under his leadership, this new organization will drive lasting customer value across the full journey.鈥�

Saueressig is a member of the Executive Board of 麻豆原创 SE, having joined 麻豆原创 in 2004 and been appointed to the Board in 2019. Prior to his new role, he led the Customer Services & Delivery Board area with global responsibility for long-term customer value in the cloud, including professional services, customer innovation services, support and 麻豆原创鈥檚 cloud infrastructure and operations. Earlier, he headed 麻豆原创 Product Engineering, overseeing 麻豆原创鈥檚 complete application portfolio, and served as Chief Information Officer, driving 麻豆原创鈥檚 internal cloud-first transformation. He holds a degree in Business Information Technology and a joint Executive MBA from ESSEC Business School and Mannheim Business School.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

Germany鈥檚 most successful football club and one of the world鈥檚 leading professional sports organizations, FC Bayern has strengthened its long-term partnership with 麻豆原创 by choosing RISE with 麻豆原创 to transition to 麻豆原创 Cloud ERP Private solutions, the digital core of 麻豆原创 Business Suite. This complements the club鈥檚 existing array of cloud solutions. These include 麻豆原创 SuccessFactors, 麻豆原创 Emarsys, 麻豆原创 Concur, 麻豆原创 Analytics Cloud, 麻豆原创 Datasphere, and 麻豆原创 Sports One solutions as well as 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 HANA Cloud and 麻豆原创 Event Ticketing software.

RISE with 麻豆原创 helps position the club to be future ready by unlocking continuous innovation, real-time analytics and AI-enabled insights. The new cloud environment enhances financial management, accelerates merchandise fulfilment and optimizes partner management to help ensure smoother logistics for kits, facilities and the supply chain. Today, more than 9.5 million fan and member data records and more than 25,000 product master data records are managed in 麻豆原创 Cloud ERP applications, providing a unified foundation for fan engagement, merchandising and operational excellence.

Cloud manages match-day peaks

By moving to the cloud, FC Bayern gains faster time to value and elastic scalability to help manage match-day traffic peaks while simplifying IT operations through a unified data platform. The transition also enables a predictable operating expense model, with 麻豆原创-managed security and compliance significantly reducing the club鈥檚 operational burden.

鈥淔C Bayern demonstrates how organizations can leverage the cloud solutions in 麻豆原创 Business Suite to drive innovation and growth,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淭hrough RISE with 麻豆原创, the club now benefits from continuous updates, integrated analytics and AI capabilities that enhance fan experiences and strengthen operational agility.鈥�

麻豆原创 Cloud ERP Private offers continuous 麻豆原创-driven innovation and integration with services on 麻豆原创 BTP, including advanced analytics, machine learning and process integration. The solutions are hosted in certified data centers with disaster-recovery capabilities, centralized security updates and monitoring, a 99.9% service-level agreement and European Union (EU) data-residency options. This supports compliance with standards such as those of the International Organization for Standardization and the EU鈥檚 General Data Protection Regulation.

The move from a self-hosted model was completed only after rigorous assurance, governance and security measures were taken in compliance with FC Bayern鈥檚 strict operational and privacy requirements.

Putting FC Bayern at the forefront of digital innovation

鈥淥ur partnership with 麻豆原创 ensures that FC Bayern remains at the forefront of digital innovation. By moving to the cloud, we can scale fan engagement, optimize player performance analytics and streamline commercial operations across all global hubs,鈥� said Jan-Christian Dreesen, CEO of FC Bayern M眉nchen AG.

The new environment supports a clean-core approach to cloud ERP and provides a clear road map for adopting current and future 麻豆原创 software innovations including the Joule and 麻豆原创 Green Ledger solutions and additional AI-supported capabilities. This enables FC Bayern to scale fan engagement, player performance analytics, commercial operations, and HR and finance processes more efficiently and sustainably.

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Top image via FC Bayern Media Library

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Martin Gwisdalla, +49 (6227) 7-67275, martin.gwisdalla@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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麻豆原创 also announced that the 麻豆原创 Integrated Report 2025 is now available and accessible online at .

You can access PDF versions of the 麻豆原创 Integrated Report 2025 and the 麻豆原创 Annual Report 2025 on Form 20-F at our Investor Relations website . A hard copy of the audited consolidated financial statements can also be requested free of charge by sending an email to investor@sap.com or via phone +49 (6227) 7-67336.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, financial community only:
Alexandra Steiger, +49 (6227) 7-767336, investor@sap.com, CET
Follow 麻豆原创 Investor Relations on LinkedIn at .

For more information, press only:
Marcus Winkler, +46 (6227) 7-67497, marcus.winkler@sap.com, CET
Daniel Reinhardt, +49 (6227) 7-40201, daniel.reinhardt@sap.com, CET

_{This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.}

麻豆原创 is recognized in the 2026 Gartner庐 Magic Quadrant™ for Personalization Engines. 麻豆原创 Engagement Cloud now brings 麻豆原创鈥檚 trusted enterprise backbone to the customer experience, enabling organizations to connect customer insight and operational execution in real time. It builds on market-leading personalization capabilities.

麻豆原创 Engagement Cloud also incorporates AI鈥慹nabled insight to support responsible, efficient scaling of personalized engagement.

As part of this evolution, 麻豆原创 also announced 麻豆原创 Engagement Cloud, enterprise edition, which provides advanced administration, governance, and content and data鈥慶ontrol capabilities for organizations operating across multiple brands, regions, and teams.

鈥淭his approach helps organizations maintain consistency, compliance, and brand standards globally, which is increasingly important in an age of AI decision-making and automation, while also staying responsive to local needs,鈥� said Joanna Milliken, Head of 麻豆原创 Engagement Cloud.

For example, a global consumer goods company operating dozens of brands and regional teams can manage engagement roles, permissions, and data centrally while allowing local teams to execute the relevant interactions. When inventory levels, fulfillment delays, or service disruptions occur, engagement can adapt without manual coordination across disconnected systems.

Existing capabilities of the 麻豆原创 Emarsys solution remain available within 麻豆原创 Engagement Cloud. Customers can adopt new capabilities incrementally, based on their priorities and readiness. 麻豆原创 Engagement Cloud, enterprise edition, will be available beginning February 19, with additional innovations delivered through 麻豆原创鈥檚 innovation road map.

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Media Contact:
Mallory Kuno, +1 (425) 239-9362, mallory.kuno@sap.com, ET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.聽 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.