SAP.XETRA
T2SAP SE
OverviewSAP SE is a global leader in enterprise application software, offering solutions for ERP (S/4HANA), HR, and spend management. The company is aggressively transf
SAP SE is a global leader in enterprise application software, offering solutions for ERP (S/4HANA), HR, and spend management. The company is aggressively transforming into an "Autonomous Enterprise" with its new Business AI platform, Joule, and AI agents, enabling automated business processes. It sells to a broad range of enterprises worldwide, with cloud ERP suite revenue now comprising 88% of its total cloud revenue.
- What They Do (Plain English & Analogies)
- SAP is like the central nervous system for large businesses. Imagine a company as a human body: SAP provides the software that helps all the different parts – like finance, sales, manufacturing, and human resources – talk to each other, understand what's happening, and make decisions. They offer a comprehensive suite of tools, from managing money and tracking inventory to handling customer relationships and employee data. Now, they are heavily investing in Artificial Intelligence (AI) to make these business processes "autonomous," meaning the software can increasingly run and optimize itself, like a self-driving car for business operations, but with human oversight. This involves using AI to understand business data, automate tasks, and provide insights, aiming to make companies more efficient and responsive.
- Very Brief History
- SAP SE was founded in 1972 in Walldorf, Germany. It started as a small company creating software to manage business processes and grew to become a global leader in enterprise application software, particularly known for its Enterprise Resource Planning (ERP) systems. Over the decades, it has evolved its offerings, moving from on-premise software to cloud-based solutions and now heavily investing in artificial intelligence to transform how businesses operate.
- "Street Stereotype"
- SAP is often perceived as a foundational, mission-critical enterprise software provider, known for its robust, complex, and comprehensive ERP systems. Historically, it was seen as a stable, somewhat traditional "on-premise" software giant. More recently, the "street stereotype" has shifted to a company undergoing a significant cloud transformation, with investors closely watching its transition to a subscription-based cloud model (RISE with SAP, GROW with SAP). Currently, the market is heavily focused on its aggressive pivot to AI, particularly its "Autonomous Enterprise" vision, and how effectively it can monetize these AI capabilities while managing the associated investment costs and competitive landscape. There's also a perception of it being a "system of record" that is now trying to become a "system of action" through AI agents.
- Subsidiaries On Linked In*
- Qualtrics — Division mentioned in existing text table; LinkedIn: Qualtrics
- Reltio — Acquired by SAP in Q2 2026; LinkedIn: Reltio
- Dremio — Acquired by SAP in Q2 2026; LinkedIn: Dremio
- Prior Labs — Acquired by SAP in Q2 2026; LinkedIn: Prior Labs
- Customer Sectors & Example Clients
- SAP serves a wide range of customer sectors including global travel, manufacturing, retail, professional services, energy, pharmaceuticals, real estate, consumer goods, steel and technical equipment wholesale, and financial services. Example clients mentioned in the transcript include Shell, Morgan Stanley, Samsonite Group, Vonovia, Eli Lilly, Shoprite Group, Electrolux, Amadeus, Norsk Hydro, Lemvigh-Muller, Dexco, PwC, Booking.com, GOL, Oki Electric Industry, Airbus, Fonterra, Dohler, Natura Cosmeticos, Parloa, Gooroo Credito, Modular Data Centers, and Techem Energy Services.
- New Customers / Segments They'Re Targeting
- SAP is targeting customers who are looking to modernize their legacy system landscapes and adopt AI. This includes existing customers migrating their on-premise ERP to the cloud (via RISE with SAP) and new customers, particularly mid-sized companies (via GROW with SAP), who are seeking end-to-end data platforms and AI-driven efficiencies. They are also specifically targeting companies that want to leverage AI agents to run business processes autonomously, focusing on those concerned about AI sovereignty, lock-in to single frontier vendors, and the need for business data, process, and governance understanding in AI.
- Supply Chain And Sourcing Geographies
- As a software company, SAP's primary "supply chain" involves its internal research and development for software creation and its cloud infrastructure. The bulk of its cloud operations are delivered by "hyperscalers." While specific hyperscalers are not named in the transcript, common providers include Microsoft Azure, Amazon Web Services, and Google Cloud. SAP also emphasizes providing "sovereignty environments," indicating a focus on data residency and compliance with local regulations in various countries, particularly from its headquarters in Germany. The recent acquisitions of Dremio and Prior Labs are for technology and talent, not physical components.
- Sales Geographies And Expansion Plans
- SAP sells its products globally. In the second quarter of 2026, cloud revenue performance was particularly strong in the APJ (Asia Pacific Japan) and EMEA (Europe, Middle East, and Africa) regions, and solid in the Americas. Specific countries with outstanding performance included Brazil, France, Germany, Italy, India, South Korea, and Spain. Australia, Singapore, and the U.S. also showed strong performance. The company's current focus is on expanding market penetration within existing regions through its new offerings (RISE and GROW with SAP) and AI solutions, rather than explicitly stating plans to expand into new geographic markets.
- How Key Themes May Help/Hurt
- The 'Agentic Utilities '26: Agentic Systems of Action' theme is directly aligned with SAP's core strategy, as the company is building its 'Autonomous Enterprise' around AI agents that can run end-to-end business processes. Accelerating enterprise adoption of AI-driven automation directly benefits SAP's Joule agent architecture, which sits on global transactional ledgers. SAP's focus on outcome-based pricing for its agents aligns with the theme's monetization strategies, and its leveraging of proprietary data for superior AI performance is a key differentiator. The 'BS Jobs '26: Bloated Operations in Tech' theme also strongly supports SAP's value proposition, as its AI agents are designed to automate low-value, repetitive tasks across various business functions, directly addressing the concept of 'bullshit jobs.' By enabling autonomous business processes, SAP helps enterprises achieve significant productivity gains and cost reductions, leading to margin expansion for its customers.
3 Main Long-Term Bull Details
- Leading the 'Autonomous Enterprise' with Business AI: SAP is uniquely positioned to deliver enterprise AI that understands business data, processes, and governance. Its new Business AI platform, Autonomous Suite, and Joule Work are designed to enable AI agents to run end-to-end business processes accurately, compliantly, and cost-effectively, offering a significant leap in enterprise automation and efficiency.
- Strong Cloud Momentum and ERP Modernization: Despite macro volatility, SAP continues to demonstrate strong cloud backlog growth (26% in Q2 2026) and cloud revenue growth (24% in Q2 2026). Its RISE and GROW with SAP offerings are successfully driving on-premise to cloud ERP migrations, which are essential for customers to leverage AI effectively due to the need for harmonized data foundations and simplified process layers.
- Unique Data Advantage and AI Flexibility: SAP possesses the largest reservoir of proprietary tabular business data, which, combined with acquisitions like Prior Labs, allows it to build highly accurate tabular AI models for critical business predictions. Furthermore, its strategy to avoid lock-in to single LLM vendors and flexibly switch between models ensures cost-effectiveness, performance optimization, and adherence to data sovereignty requirements, making it a resilient partner in a geopolitically uncertain world.
3 Main Long-Term Bear Details
- Integration Pace and Customer Adoption Challenges: The rapid pace of AI innovation risks outstripping enterprises' ability to fully adopt, integrate, and derive value from agentic systems. While SAP's beta programs are oversubscribed, widespread, large-scale adoption and the realization of expected value across its vast customer base could be slower than anticipated, potentially impacting monetization.
- Competitive and Evolving AI Landscape: The intensely competitive and rapidly evolving AI landscape, compounded by increasing regulatory scrutiny (e.g., EU AI Act, Colorado AI Act), poses risks of commoditization. Many embedded AI features are offered at no extra cost, and the emergence of open-source solutions could challenge proprietary offerings, potentially pressuring SAP's pricing power for its new AI solutions.
- Near-term Margin Pressure from AI Investments: SAP is making significant investments in its AI transformation, including targeted hiring of AI talent, upskilling its workforce, and increased R&D and marketing expenses related to AI. While management expects long-term productivity gains, these upfront investments are causing near-term operating profit dilution, as evidenced by the adjusted 2026 outlook due to acquisitions like Dremio and Prior Labs.
- Competitors And Differentiation
- SAP's competitors include other major enterprise software providers like Oracle (NetSuite, Oracle Fusion), Microsoft (Dynamics 365), and Workday (for HR/Finance). In the data platform space, competitors include Databricks and Snowflake. For large language models (LLMs) that SAP integrates, it works with providers such as Anthropic, Cohere, Google, Mistral AI, and OpenAI. SAP differentiates itself through its deep understanding of end-to-end business processes, its vast repository of mission-critical enterprise data (especially tabular data), and its focus on enterprise-grade governance, compliance, and data privacy across over 130 countries. Its "Autonomous Enterprise" vision combines its Autonomous Suite with its Business AI platform, emphasizing a semantic data layer, ontology, and knowledge graph for every line of business and industry. SAP aims to avoid lock-in to single LLM vendors, offering flexibility to switch between models for optimal price-to-outcome ratios and adherence to local sovereignty requirements. Acquisitions like Prior Labs enhance its ability to generate accurate tabular predictions, and its AI Agent Hub provides a centralized command center for managing and governing AI agents.
- Recent Performance & What The Market'S Focused On
- SAP delivered a strong Q2 2026. Current cloud backlog grew 26% (27% at actual currencies) to EUR 22.9 billion, accelerating compared to Q1. Cloud revenue grew 24% (22% at actual currencies) to EUR 6.3 billion, and total revenue was up 11% (9% at actual currencies) to EUR 9.9 billion. Non-IFRS operating profit increased by 9% (7% at actual currencies) to EUR 2.7 billion. Free cash flow was robust at EUR 3 billion. The market is focused on: * **Sustained Cloud Momentum:** The continued strong growth in current cloud backlog and cloud revenue, easing concerns about AI-driven disruption to its software business. * **AI Transformation and Monetization:** The successful launch and adoption of its 'Autonomous Enterprise' vision, Business AI platform, and AI agents, and how effectively SAP can monetize these new AI capabilities through outcome-based pricing. * **Operating Profit Outlook and AI Investment Impact:** The slight adjustment to the 2026 non-IFRS operating profit outlook to reflect the dilutive impact of recent AI-related acquisitions (Dremio and Prior Labs). Investors are scrutinizing the balance between aggressive AI investments and maintaining operating leverage, and the timing of payoffs from these investments. * **Macroeconomic Headwinds:** The ongoing impact of geopolitical uncertainties (e.g., conflict in the Middle East) on customer sentiment and decision-making, which could affect bookings in the second half of the year.
- Revenue Segments And Estimated Mix
- Cloud Revenue — Mix: ~63.6% of total revenue; Source: Q2 2026 transcript; Trend: Grew 24% year-on-year in constant currencies
- Cloud ERP Suite Revenue — Mix: ~55.9% of total revenue (88% of total cloud revenue); Source: Q2 2026 transcript; Trend: Increased by 27% year-on-year in constant currencies
- Software Licenses Revenue — Mix: n/m; Source: Q2 2026 transcript; Trend: Decreased by 32%
- Services Revenue — Mix: n/m; Source: Q2 2026 transcript; Trend: Slight decline due to reallocation of consultants to build agents and foster AI adoption
- Product Brands
- SAP S/4HANA
- SuccessFactors Human Experience Management
- SAP Ariba
- SAP Concur
- SAP Fieldglass
- SAP Business Technology Platform
- SAP Business Network
- RISE with SAP
- GROW with SAP
- Joule
- Joule Studio
- Joule Work
- AI Agent Hub
- Autonomous Suite
- Business AI platform
- Qualtrics
- Reltio
- Dremio
- Prior Labs
Bull / Bear DetailsSAP SE is strongly positioned to lead the 'Autonomous Enterprise' era by leveraging its core ERP and data foundation with a new Business AI platform and agentic
Thesis
SAP SE is strongly positioned to lead the 'Autonomous Enterprise' era by leveraging its core ERP and data foundation with a new Business AI platform and agentic solutions. The company's multi-LLM strategy, outcome-based pricing, and strategic acquisitions (Dremio, Reltio, Prior Labs) are driving enterprise AI adoption and internal productivity. While near-term M&A dilution and macro headwinds present challenges, SAP's confident execution and synergistic cloud migration efforts underpin a bullish outlook as of 2026-08-05.
Bull case
SAP is experiencing strong enterprise adoption of its AI strategy, highlighted by the successful launch of its Autonomous Enterprise vision and new Business AI platform. The new Joule Work and AI Agent Hub are generating significant pipeline and positive customer feedback, with beta programs oversubscribed. Strategic acquisitions like Dremio, Reltio, and Prior Labs enhance SAP's data foundation and agent accuracy, driving demand for end-to-end business process automation.
SAP is poised to reset pricing levels with its AI agents, moving towards outcome-based models that leverage the value of autonomous execution rather than traditional system-of-record pricing. This approach, combined with a flexible multi-LLM strategy, allows for optimized cost management and is expected to drive higher gross margins and accelerate AI cloud revenue.
SAP's internal AI transformation is yielding significant operational efficiencies, with reported developer productivity gains averaging 30% through the application of AI tools like low-code. This internal focus on AI-driven productivity will contribute to long-term operating leverage. Concurrently, the RISE and GROW with SAP offerings are driving essential ERP modernization, which customers recognize as crucial for effective AI adoption, creating a synergistic growth driver.
Bear case
Despite confidence in long-term operating leverage, SAP's near-term operating profit outlook has been adjusted downwards due to the dilutive impact of recent AI-focused acquisitions (Dremio, Prior Labs) and accelerated R&D and marketing investments in AI. This indicates a period of elevated investment that will impact profitability in the short term.
The ongoing volatile macroeconomic environment, particularly the Middle East conflict, continues to weigh on customer sentiment and decision-making, potentially impacting bookings and the pace of AI adoption. While SAP maintains a strong pipeline, this external uncertainty could lead to slower-than-expected conversion of opportunities and a wider range of possible outcomes for key metrics.
While SAP is actively addressing data quality and integration with acquisitions like Reltio and Dremio, the inherent complexity of modernizing legacy ERP landscapes and ensuring harmonized data foundations remains a significant challenge for many customers. This could slow the full realization of AI agent benefits and widespread adoption across the installed base.
Bull / Bear Case
- Bear Case
- SAP faces near-term operating profit pressure due to the dilutive impact of recent AI-focused acquisitions (Dremio, Prior Labs) and accelerated R&D and marketing investments in AI, leading to an adjusted outlook. The volatile macroeconomic environment, particularly the Middle East conflict, continues to weigh on customer sentiment, potentially impacting bookings and the pace of AI adoption, leading to slower conversion of opportunities. Furthermore, the inherent complexity of modernizing legacy ERP landscapes and ensuring harmonized data foundations remains a significant challenge for many customers, which could slow the full realization of AI agent benefits and widespread adoption across the installed base, impacting monetization and growth targets.
- Bull Case
- SAP is strongly positioned to lead the "Autonomous Enterprise" era, leveraging its core ERP and data foundation with a new Business AI platform and agentic solutions. The successful launch of Joule Work and AI Agent Hub is generating significant pipeline and positive customer feedback, with beta programs oversubscribed. Strategic acquisitions like Dremio, Reltio, and Prior Labs enhance SAP's data foundation and agent accuracy, driving demand for end-to-end business process automation. This, combined with a flexible multi-LLM strategy, allows for optimized cost management and the potential to reset pricing levels with outcome-based AI agents, driving higher gross margins and accelerating AI cloud revenue. Internal AI transformation is also yielding 30% developer productivity gains, contributing to long-term operating leverage, while RISE and GROW offerings drive essential ERP modernization.
- More Compelling & Why
- Bull. The market's robust positive reaction, with SAP outperforming the SPY by over 18% since the earnings call, strongly indicates investor confidence in the company's AI transformation. Despite near-term operating profit adjustments due to AI investments, the long-term potential for outcome-based AI pricing to reset revenue levels and drive higher gross margins is compelling. This justifies a premium valuation, such as its current Price/Sales ratio of approximately 7.0x, which is above its historical average. The strongest argument is SAP's unique position to monetize agentic AI through its vast enterprise data and process knowledge. My view would flip if current cloud backlog growth significantly decelerates beyond management's 'slight' expectation, signaling a fundamental slowdown in AI adoption and cloud migration.
Key Factors
| Key Factor | Why It Matters | What To Watch | What It Signals | Where/How To Track | Free Alt Data | Paid Alt Data |
|---|---|---|---|---|---|---|
| AI-driven Productivity Gains and R&D Efficiency | Internal AI adoption and productivity gains, particularly in R&D, are crucial for managing costs, improving operating margins, and demonstrating the tangible benefits of SAP's AI strategy. This directly supports the company's commitment to its operating leverage framework. | Reported average developer productivity increase (target: ~30%), internal rollout of Joule Work desktop, and R&D expense as a percentage of revenue in future quarters. | Achieving or exceeding the 30% productivity increase and a stable or improving R&D expense ratio signals bullish operational efficiency and margin expansion. Failure to realize these gains would be bearish. | SAP's quarterly earnings calls and investor presentations, particularly management commentary on internal operations and cost management. Next update in Q3 2026 earnings call. | N/A | Thinknum: SAP job postings for R&D roles (e.g., 'AI Engineer', 'Data Scientist') for hiring slowdown confirmation. |
| Launch and Customer Adoption of New AI Platform (Joule Work, Autonomous Suite Agents) | The successful launch and widespread adoption of SAP's new AI platform and agents are central to its AI transformation and future revenue growth, enabling outcome-based pricing and expanding its addressable market. | Number of assistants released by end of Q3 2026 (target: ~50), number of Autonomous Suite agents by end of 2026 (target: >400), customer feedback on beta programs, and initial monetization metrics. | Meeting or exceeding targets for agent/assistant releases and positive customer feedback/monetization signals bullish AI adoption and revenue potential. Delays or lukewarm adoption would be bearish. | SAP's Q3 2026 earnings call (late October 2026), company press releases, and investor presentations. | Google Trends: 'SAP Joule Work' or 'SAP Autonomous Enterprise' search volume. | Gartner Research: Enterprise AI software adoption rates; Forrester Research: SAP AI platform evaluations. |
| Cloud Revenue Growth Rate | Cloud revenue growth is a primary indicator of SAP's successful transition to the cloud and its ability to monetize its offerings, directly impacting top-line performance. Sustained growth validates the company's strategic investments and market position. | Year-over-year cloud revenue growth rate (Q2 2026: 24%), especially for reacceleration in H2 2026 as guided by management, and Cloud ERP suite revenue growth (Q2 2026: 27%). | Reacceleration of cloud revenue growth in H2 2026, aligning with management's confidence, would be bullish. Further sequential deceleration or missing guidance would be bearish. | SAP's quarterly earnings reports and investor relations website. Next update expected in the Q3 2026 earnings call (late October 2026). | N/A | IDC/Gartner: Cloud software market share and growth reports. |
| RISE and GROW with SAP Offering Adoption and Deal Momentum | Strong uptake of RISE and GROW offerings is essential for driving ERP migrations, which are foundational for customers to effectively adopt SAP's new AI solutions. This ensures long-term customer stickiness and expands the addressable market for AI-driven transformations. | Number and value of new RISE and GROW deals, specific customer highlights in future earnings calls, and reported ERP migration cost reductions (target: up to 30%). | Continued strong deal momentum and customer success stories (e.g., 97% legacy customization elimination, 75% faster accounting growth) indicate bullish customer transformation and AI readiness. A slowdown in deal announcements would be bearish. | SAP's quarterly earnings calls, press releases, and investor presentations. Next update in Q3 2026 earnings call. | SAP Newsroom: Announcements of new RISE/GROW customer wins. | Thinknum: SAP consulting job postings (for RISE/GROW implementation capacity). |
| Current Cloud Backlog (CCB) Growth Rate | Current Cloud Backlog (CCB) growth is a critical forward-looking indicator for SAP's future cloud revenue and overall business momentum. It directly reflects customer commitment to SAP's cloud offerings and the success of its sales pipeline, underpinning long-term financial performance. | Sequential CCB growth rate compared to Q2 2026's 26%, and the total CCB value (EUR 23 billion in Q2 2026). Monitor for management's commentary on expected 'slight deceleration' exiting the year. | Sustained or accelerating CCB growth above 26% indicates strong demand and future revenue, signaling a bullish outlook. Deceleration beyond management's 'slight' expectation would be a bearish signal. | SAP's quarterly earnings reports and investor relations website. Next update expected in the Q3 2026 earnings call (late October 2026). | N/A | Thinknum: SAP cloud contract value trends. |
Key Reported Metrics, Reratings Triggers & ResultsThis metric indicates SAP's ability to balance aggressive investments in AI transformation and strategic acquisitions with maintaining profitability and cost di
Upcoming print · 2026-10-21
| Key reported metrics | ||
|---|---|---|
| Metric | Last period | Why it matters |
| Non-IFRS Operating Profit Growth | 9% | This metric indicates SAP's ability to balance aggressive investments in AI transformation and strategic acquisitions with maintaining profitability and cost discipline, a key concern for investors following the Q2 deceleration. |
| Cloud Revenue Growth | 24% | As SAP continues its cloud transformation and pivots to the AI era, this core top-line metric reflects the success of its cloud business and the initial monetization of its new AI platform and agentic solutions. |
| Current Cloud Backlog Growth | 26% | This metric is a crucial forward-looking indicator, signaling future cloud revenue and customer commitment to SAP's cloud and AI offerings, especially with the focus on the Autonomous Enterprise. Its acceleration in Q2 was a positive sign. |
Key QuestionsWill SAP SE's current cloud backlog (CCB) and cloud revenue growth rates meet or exceed management's expectations for a 'slight deceleration' exiting the year,
Will SAP SE's current cloud backlog (CCB) and cloud revenue growth rates meet or exceed management's expectations for a 'slight deceleration' exiting the year, or will ongoing macro uncertainties and geopolitical factors lead to a more significant slowdown?
- Question 2
Can SAP SE effectively manage the dilutive impact of recent AI-focused acquisitions (Reltio, Dremio, Prior Labs) and accelerated R&D investments, while delivering on its operating leverage commitments and reaccelerating operating profit growth in the second half of 2026?
- Question 3
Will SAP SE's new AI platform, Joule Work, and Autonomous Suite agents achieve widespread customer adoption and successful monetization through outcome-based pricing models, validating the company's 'Autonomous Enterprise' vision and driving accelerated AI cloud revenue?
Earnings Transcript Summary
· 2026Q2 Earnings Call
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 1. **AI Transformation and Autonomous Enterprise**: Management is heavily focused on their AI transformation, highlighted by the successful Sapphire conference, the launch of the Autonomous Enterprise, and the new Business AI platform. This includes strategic acquisitions like Dremio, Reltio, and Prior Labs to strengthen their data and ontology layers, and the introduction of Joule Work and AI Agent Hub to drive AI adoption and productivity. They aim to deliver accurate, compliant, and cost-effective AI agents for end-to-end business processes. 2. **Sustaining Cloud Business Momentum and ERP Migrations**: Management emphasizes the strong momentum in their cloud business, particularly with current cloud backlog growth and the solid execution of on-premise to cloud ERP migrations. The new RISE and GROW with SAP offerings are key to supporting customers in modernizing their legacy systems, which is seen as essential for effective AI adoption. 3. **Internal Transformation and Workforce Investment**: SAP is undergoing its own transformation to become an autonomous enterprise, focusing on shifting R&D to building AI at scale, accelerating innovation, and improving developer productivity. They are also making significant investments in their workforce through upskilling (code camps, in-person training) and targeted hiring of world-class AI talent (data scientists, AI experts) to complement existing domain know-how. | The overall takeaway of the call is that SAP is undergoing a significant and confident transformation into an 'Autonomous Enterprise' driven by AI, following its successful cloud transition. While Q2 saw some deceleration in cloud revenue growth and a slight adjustment to the operating profit outlook due to M&A and concentrated investments, management maintained a **confident and optimistic tone** regarding the underlying business trajectory and future growth prospects. They emphasized the strong momentum in current cloud backlog, the positive customer feedback on their new AI platform and agents, and the strategic importance of their AI-related acquisitions. Key themes included the shift to outcome-based AI pricing, significant internal productivity gains expected from AI, and the ongoing necessity of ERP modernization for effective AI adoption. Despite macro uncertainties, SAP is committed to aggressive AI investments while maintaining financial discipline. | Current cloud backlog grew 25% in Q1 2026 (acceleration compared to Q2). Cloud revenue grew 27% in Q1 2026 (deceleration compared to Q2). Total revenue was up 12% in Q1 2026 (deceleration compared to Q2). Services revenue decreased by 1% in Q1 2026 (slight deceleration or similar compared to Q2's slight decline). Cloud ERP suite revenue increased by 30% in Q1 2026 (deceleration compared to Q2). Software licenses revenue decreased by 12% in Q1 2026 (significant deceleration/larger decline compared to Q2). | 1. **Operating Profit/Margin Performance and Outlook**: Analysts questioned the weaker Q2 operating income and the full-year outlook adjustment, asking about margin expansion and any shift in investment focus. Management responded by stating that Q2 was a 'special quarter' with specific factors (lower cloud/total revenue growth, unusually low stock-based compensation in Q1, accelerated R&D investments, higher marketing, dilutive M&A impact) and that the operating leverage framework remains intact over several quarters. They emphasized prioritizing aggressive AI transformation and top-line growth while maintaining cost discipline, and that AI-driven productivity gains will pay off in the coming years. 2. **Cloud Revenue Outlook and AI Monetization**: Analysts inquired about the visibility for cloud revenue for the rest of the year and the expected timing of adoption and monetization of AI solutions. Management expressed confidence in hitting the full-year cloud revenue guidance, citing a better-than-expected pipeline after Sapphire. They highlighted strong customer feedback on the new AI platform and the realization among customers that modernizing ERP landscapes is crucial for AI adoption. They also noted that AI offers a unique chance to 'reset the price level' to outcome-based pricing, which will drive healthy gross margins and accelerate AI cloud revenue. 3. **Impact of Acquisitions and R&D Costs**: Analysts asked about the strategic rationale and return on recent acquisitions like Prior Labs, as well as the increase in R&D costs relative to headcount. Management explained that acquisitions like Prior Labs are to strengthen their data and ontology layers and enable agents to predict more accurately, monetized through the value of the agents rather than standalone models. Regarding R&D costs, they attributed the increase to token consumption and hiring a few top-caliber AI experts, but expect to heavily slow down hiring for other profiles due to AI-driven productivity gains (averaging 30%) and a shift in the development backlog from SaaS features to AI. | Current cloud backlog grew 26%. Cloud revenue grew 24% to EUR 6.3 billion. Total revenue was up 11% to EUR 9.9 billion. Services revenue saw a slight decline. Cloud ERP suite revenue increased by 27%. Software licenses revenue decreased by 32%. |
Transcript Tidbits
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| SAP believes its AI innovations can create new commercial opportunities and support durable growth beyond the current cloud transition. The acquisition of Dremio and its Apache Iceberg native technology allows SAP to bring mission-critical SAP and non-SAP data together for real-time analysis, expanding data access for agents. Reltio's acquisition will govern master data models end-to-end for high data quality, extending SAP's data governance capabilities. The AI Agent Hub is designed to discover, manage, and govern SAP and non-SAP agents across various lines of business and industries. SAP also sees a unique chance to reset pricing levels with AI, moving to outcome-based pricing for autonomous agent-driven processes. | SAP addresses concerns about vendor lock-in to single frontier AI vendors and the growing importance of AI sovereignty. Joule Studio offers a choice of leading LLMs, including Anthropic, Cohere, Google, Mistral AI, and OpenAI, to ensure flexibility and leverage competition among providers. The company emphasizes its strategy not to be locked into any generic large language frontier model, but to flexibly benefit from the vibrant competition in terms of performance and cost. SAP highlights that customers value the resilience of its model, being headquartered in Germany, especially in times of geopolitical uncertainties where sovereign requirements are taking center stage. | The broader industry faces challenges where LLMs often do not understand business data, processes, and governance, and AI token spend does not always mirror outcomes. There is a growing concern about lock-in to single frontier AI vendors and the increasing importance of AI sovereignty. The debate about exploding token costs at most enterprises supports SAP's strategy of combining deterministic, scalable enterprise applications with probabilistic agentic AI solutions. The ongoing conflict in the Middle East continues to weigh on customer sentiment and decision-making, particularly in affected industries and supply chains. The transcript also mentions "massive noise around the alleged SaaS apocalypse over the last quarters." | SAP's AI transformation is progressing well among both customers and employees, with growing AI consumption and tangible outcomes. The new business AI platform and the end-to-end user experience, Joule Work, are being delivered in Q3. By the end of Q3, SAP plans to release close to 50 assistants, and by the end of the year, more than 400 Autonomous Suite agents. Three additional ERP migration assistants with 10 underlying agents will be released later in Q3 to accelerate customers' journey to the autonomous enterprise. SAP aims to successfully transform in the AI era to deliver accelerated growth and profitability, having completed its cloud transformation. Priorities for the second half of the year include sustaining momentum in the cloud business, delivering on operating leverage, and closing the year with strength. | Agentic | Q2 was an outstanding quarter, highlighted by our flagship customer conference, Sapphire. Current cloud backlog grew 26%, an acceleration compared to Q1. AI and SAP Business Data Cloud were embedded as key pillars in more than 90% of our 50 largest deals. After Sapphire, the beta programs for our new platform, Suite and Joule Work were immediately oversubscribed and initial customer feedback has been excellent. SAP successfully completed our transformation to the cloud, and we will once again successfully transform in the AI era to deliver accelerated growth and profitability. The underlying trajectory of our business remains fully intact as evidenced by solid and sustained current cloud backlog growth. We are more convinced than ever that our strategy not to be locked into any generic large language frontier model, but to flexibly benefit from the vibrant competition amongst them in terms of both performance but also cost is the right one. Now with AI, I mean, now we can completely reset the price level. | This comes despite a slight decline in services revenue as we reallocate consultants to build agents and foster AI adoption. As you are all aware, the situation in the Middle East remains fluid and the longer it persists, the more it weighs on customer decision-making. The quarter-on-quarter deceleration in IFRS and non-IFRS operating profit growth is mainly caused by lower cloud and total revenue growth in Q2 as compared to Q1 2026. The current environment and the investment needs in our own AI transformation do not support what will effectively be a noticeable upgrade of the underlying organic non-IFRS operating profit outlook. The range of possible outcomes for the metric continues to be wider than we would like. The slightly dilutive impact of the Reltio acquisition, which just closed on May 7. Dremio and Prior Labs in combination will weigh on H2 2026 with a very low triple-digit million euro amount. | SAP is reallocating consultants internally to build agents and foster AI adoption. The company is investing in its workforce by hiring world-class AI talent and rapidly upskilling and reskilling existing employees. Code camps and in-person training offerings are being rolled out to reach over 90% of employees in the coming months. Hiring efforts are focused on bringing in the industry's best data scientists and AI experts to complement existing domain know-how. While R&D headcount is up 3% year-on-year, and costs are up 14% (partially due to token consumption and higher-caliber hires), SAP plans to heavily slow down hiring for other profiles due to AI-driven productivity gains of an average of 30%. For this year and next, SAP will not hire the number of people initially planned, balancing AI consumption with headcount to achieve committed productivity ratios. |
Notes
| Date | Comment | Comment Type | Comment Sentiment | Link | Price Reaction |
|---|---|---|---|---|---|
| 2026-07-23 | SAP's Q2 earnings emphasized a confident AI transformation into an "Autonomous Enterprise" with new platforms and strategic acquisitions. Despite some cloud revenue deceleration and near-term profit adjustments due to AI investments, management's optimistic tone and focus on long-term AI-driven productivity and outcome-based pricing resonated positively. The stock's significant 9.41% outperformance against SPY (0.12%) post-earnings strongly indicates market approval of SAP's aggressive AI strategy and future growth prospects. | Earnings Transcript | Positive | +9.41% (vs SPY: +9.29%) |
Upcoming Events
| Catalyst ID | Estimated Timing | Estimated Date Start | Estimated Date End | Catalyst | Why It Matters | Ticker Or Theme Specific | Transcript Date | Source Type |
|---|---|---|---|---|---|---|---|---|
| SAP.XETRA_01b3c188 | Over the next few weeks | 2026-07-23 | 2026-08-31 | Internal rollout of Joule Work desktop across SAP's functions. | This internal deployment serves as a crucial validation and testing phase for Joule Work, demonstrating SAP's confidence in its own AI tools and driving internal productivity before broader market adoption. | Ticker | 2026-07-23 | earnings_transcript |
| SAP.XETRA_8b5425e4 | this quarter | 2026-07-01 | 2026-09-30 | General availability launch of the new SAP Business AI platform. | This platform is foundational for SAP's AI strategy, enabling the creation, context, and governance of AI agents, crucial for driving enterprise AI adoption and future revenue growth. | Ticker | 2026-07-23 | earnings_transcript |
| SAP.XETRA_117ee27b | this quarter | 2026-07-01 | 2026-09-30 | General availability launch of the new end-to-end user experience, Joule Work. | Joule Work provides a unified interface for users to interact with AI agents across SAP's portfolio, dramatically accelerating outcomes for end users and driving AI adoption. | Ticker | 2026-07-23 | earnings_transcript |