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Christian Klein
Chief Executive Officer & Member of Executive Board, SAP

SAP Q2 FY26 Earnings Call | $SAP | ๐Ÿ”ด WATCH LIVE

🎥 Jul 23, 2026 📺 Benzinga ⏱ 50m 👁 517 views
SAP SE (SAP) โ€” Q2 FY26 Earnings Call Live coverage with Benzinga. Q2 FY26 Results EPS: $1.85 (est. $2.01) โ€” inline Revenue: $11.48B (est. $11.49B) โ€” inline Reported: 2026-07-23 Recent Quarters Q1 FY26 (2026-04-23): EPS $2.01 vs est $1.92 ยท Rev $11.19B vs est $11.26B Q4 FY25 (2026-01-29): EPS $1.89 vs est $1.76 ยท Rev $11.27B vs est $11.46B Q3 FY25 (2025-10-22): EPS $1.85 vs est $1.69 ยท Rev $10.55B vs est $10.57B Q2 FY25 (2025-07-22): EPS $1.70 vs est $1.63 ยท Rev $10.23B vs est $10.39B About SAP SE Founded in Germany in 1972 by former IBM employees, SAP is the world's largest provider of ent...
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About Christian Klein

Christian Klein, CEO of SAP, stated during a July 24 Bloomberg interview that the company was "very happy" with its second-quarter performance, citing accelerated cloud growth and noting that 90% of cloud deals included AI. He described AI as a "disruption to the software industry" but argued that SAP's value lies in its ability to provide business context and domain logic that large language models lack. Klein emphasized that SAP maintains an open platform with APIs and third-party agent integration, and said the company sees "not one winner" in the AI layer for ERP. Following the departure of chief product officer Muhammed Alam, Klein took over oversight of development, saying that "it's good to be close to development these days" as the company shifts from coding features to coding AI agents. On the July 23 earnings call, Klein said customers are realizing they need to "modernize" ERP landscapes alongside AI adoption, and noted that "a lot of customers" are choosing to do both with SAP. He discussed the company's AI agent hub and its new end-to-end user experience, Jewel Work, which has 4,000 internal users. Regarding pricing, Klein stated that "with AI... we can completely reset the price level" toward outcome-based pricing. He also said SAP had adjusted hiring plans and would "nowhere near" hire the number of people planned at the beginning of the year, citing increased productivity from AI tools.

Source: AI-verified profile updated from Christian Klein's recent appearances. Browse all interviews →

Transcript (38 segments)
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Christian Klein0:00
Specifically in the governance layer, we will ensure the agents meet your compliance frameworks and data privacy requirements from over 130 countries, checking all the identity and authorization rules to ensure the response is not only accurate but also compliant. Furthermore, we are able to switch between different models safely and dynamically inside customers SAP's landscapes. This means we will run the agents without any login, adhere to local sovereignty requirements and ensure the best price to outcome ratio. Powered by the new platform, our autonomous suite will consist of SAP partner and customer agents, all managed by SAP. The AI agent hub is our command center to discover, manage, and govern SAP and non-SAP agents, MCP servers, and more. The AI agent hub gives customers transparency across a universe of agents for every LOB and every industry. And finally, this quarter, we will also launch our new end-to-end user experience, Jewel work. It's a single entry point and interface across all our portfolio solutions for all tasks where users can collaborate with our AI agents connected to our business AI platform. Jewel work dramatically accelerates outcomes for our 350 million end users. For example, a salesperson can create a complete data-rich customer pitch in just a few minutes. A finance business partner can pull together a financial analysis including all structured and non-structured data from his or her company. After Sapphire, the beta programs for our new platform Jewel work were immediately oversubscribed and initial customer feedback has been excellent. This makes us very confident about the successful launch in Q3. In addition, we will release close to 50 assistants by the end of Q3 underpinned by more than 400 autonomous suite agents by the end of the year. To accelerate our customers' journey to the autonomous enterprise, we are also releasing three additional ERP migration assistants with 10 underlying agents later this quarter. Let me now share some tangible outcomes from our customers. On the autonomous suite side, SAP and Amadeus, a platform for global travel, developed an AI agent that autonomously reconciles unstructured payment data already clearing around 40,000 incorrect transactions. One example from our business AI platform to prepare for business AI, NorthQro transitioned from a legacy BW to an end-to-end data platform with BDC. This delivered significant agility, cutting BI solution build time by around 75% and accelerating report creation time by 50%. Moving on to industry AI. With entity data, Denmark's largest wholesaler for steel and technical equipment, Lem Mueller, deployed custom AI agents to verify purchasing orders. The solution achieved over 90% touchless processing and 98% matching accuracy. For AI agents to deliver the accurate outcomes at scale that all of these companies need, a harmonized data foundation and simplified process layer is essential. That's why the modernization of legacy system landscapes is still very important to support our customers in this transformation. We launched our new RISE with SAP offering which has already been very well received in Q2. As part of this new offering, we are seeing a strong uptake of our AI ERP migration tool chain. Customers are achieving faster time to value and up to 30% lower ERP migration cost. A great example of this in action is Dexope who used their RISE with SAP migration to eliminate 97% of legacy customizations, driving a 75% faster accounting close. In parallel, our new offering also includes a firm commitment to our customers to activate and adopt AI assistants and agents within the first year of their journey. We also saw many RISE deal highlights in Q2. They include Shell, Morgan Stanley, Samsonite Group, Vonovia, Eli Lilly, Retailer Shoprite Group, and Electrolux. We also see great momentum around SAP GROW with companies such as Palo Alto, Guru Credit, Model Data Centers, and TechM Energy Services. Turning to the AI deals, key wins included PwC, one of the world's largest professional services firms. They selected our AI to transform a complex billing process, cutting a 35-minute task to just 5 minutes while improving accuracy and end user satisfaction. Travel platforms Booking.com and Goal, as well as Oki Electric Industry, selected many of our LOB and industry AI offerings in addition to BDC. Our software and cloud offerings also gained significant momentum with key wins including companies like ABB. Successful go-lives included Fontadura and Nura Cosmetics. To deliver our AI vision, we also continue our own transformation. We are moving with full speed to turn SAP into an autonomous enterprise. In engineering and technology, we are transforming our operating models from software development to building AI at scale. We are doubling down on our ontology development with our best domain experts working on knowledge graphs for every industry and LOB. And we are accelerating innovation, targeting complete agent delivery in under three weeks by applying tools like Cloud Code. We are also increasing overall developer productivity by up to 30%. In go-to-market, we are also evolving our operating model. The consulting AI factory is a prime example. Over 3,000 SAP consultants are driving AI adoption directly with more than 2,000 customers. Over the next few weeks, we will roll out Jewel work desktop internally to drive additional productivity across all functions. While we are driving significant efficiency gains with AI, we are making investments in our workforce both by investing in world-class AI talent as well as upskilling and reskilling at full speed. We are rolling out a range of code camps and in-person training offerings across our key locations with the target of reaching more than 90% of our employees over the next few months. In addition to upskilling our people, we are focusing our hiring efforts to bring in the industry's best data scientists and AI experts. Their leading skills will complement our deep business process and domain knowledge. Let me summarize. In Q2, we delivered a strong quarter with strong momentum in our business. In the age of agentic AI, SAP is leading the way. The autonomous enterprise is anchored in AI agents that can run end-to-end business processes accurately, compliantly, and cost effectively, and always with the human in the loop. 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. And with that I'll hand over to Dominic.
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Dominic Asam7:56
Thank you very much Christian and thank you all for joining us this evening. To build on what Christian shared in his opening remarks, Q2 was a strong quarter for SAP, supported by sustained current cloud backlog growth and further improving free cash flow generation. These results were delivered against the backdrop of a complex and uncertain operating environment with the ongoing conflict in the Middle East continuing to weigh on customer sentiment and decision-making. Despite these headwinds, we remain focused on executing our strategy and continue to see progress across our strategic priorities. At Sapphire in May, we outlined our vision for the autonomous enterprise and the expanded role of AI across our portfolio. While these innovations are still at an early stage, we believe they can create new commercial opportunities over time and support durable growth beyond the current cloud transition. Importantly, we continue to invest in these areas while maintaining our commitment to the operating leverage framework we've laid out. These results reflect the resilience of our business model and give us confidence in the path ahead. Now, let me provide more details on our financial highlights. Current cloud backlog reached almost 23 billion, up 26%, benefiting from the first time inclusion of Rellio which only contributed less than one percentage point to the constant currency growth rate. While CCB growth sequentially accelerated, we continue to expect a slight deceleration exiting the year. 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, particularly in directly affected industries and supply chains. That said, the breadth of our pipeline, the mission-critical nature of our solutions, and the fact that the second half of the year typically accounts for the lion's share of our bookings give us confidence in our ability to execute against the opportunities in front of us. As expected, the year-over-year cloud revenue growth rate declined sequentially to 24%, reflecting several quarter-specific effects that particularly benefited the 2025 year-on-year comparison in the preceding first quarter. You might recall the comments we made in that regard in our last quarterly earnings call. Also recall that in Q2 2025 we had roughly two percentage points higher cloud revenue growth than in Q1. So there is a strong basis effect here. SaaS and PaaS combined continue to perform strongly with growth again far above the overall market. Cloud ERP suite revenue increased by 27% in Q2, now accounting for 88% of total cloud revenue. Software licenses revenue decreased by 32%. Finally, total revenue in the second quarter was 9.9 billion euros, up 11%. Now, a brief look at our regional performance. In the second quarter, SAP's cloud revenue performance was particularly strong in APJ and EMEA and solid in the Americas region. Brazil, France, Germany, Italy, India, South Korea, and Spain had outstanding performance while Australia, Singapore, and the US were particularly strong. Now moving down the income statement, our IFRS cloud gross margin in Q2 was 74.3% and non-IFRS was 74.6%, down 0.7 percentage points year-over-year at constant currencies. IFRS operating profit increased by 8% to 2.6 billion euros. Non-IFRS operating profit was up by 9% to 2.7 billion. The quarter-over-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 2025, an unusually low stock-based compensation expense in the first quarter of 2025, accelerated investments into research and development, higher marketing expenses in the quarter of the launch of the autonomous enterprise, and finally, the slightly dilutive impact of the Rellio acquisition, which just closed on May 7th. Additionally, we are investing to accelerate our own AI transformation. This includes rapid internal adoption of our AI solutions as well as targeted hires. These investments enable us to further enhance our products and drive efficiencies. At the same time, we are applying disciplined governance to manage our cost base and improve spend predictability. The IFRS effective tax rate was 26.5% and the non-IFRS effective tax rate was 30.8%. The IFRS effective tax rate is lower than the non-IFRS expected tax rate due to tax benefits from tax-exempt income. Free cash flow in Q2 was robust at 3 billion euros. Finally, IFRS earnings per share increased by 30% to 1.89 euros and non-IFRS earnings per share increased by 6% to 1.59 euros. Now on to the outlook. As you will have seen in the quarterly statement issued earlier today, we are maintaining our financial outlook for all topline parameters and free cash flow. We are adjusting our operating profit outlook by 0.1 billion euros and now expect 11.8 to 11.2 billion euros to reflect the dilutive impact of the recent Dreo and Prior Labs acquisitions. As announced last quarter, we are planning to fully offset the slightly dilutive effect of the Rellio acquisition on our non-IFRS operating income. As you will see in the half-year report, Rellio has generated an IFRS loss after tax since closing on May 7th to the tune of 10 million euros in Q2. Adjusting to non-IFRS operating profit by taking taxes and items such as amortization of acquisition-related intangibles out, we are down to a high single-digit million euro amount. However, Dreo and Priaps in combination will weigh on H2 2025 with a very low triple-digit million euro amount. We feel that the current environment and the investment needs in our own AI transformation do not support what would effectively be a noticeable upgrade of the underlying organic non-IFRS operating profit outlook we gave at the beginning of the year. To cut it short, we are fully on track on our initial non-IFRS operating profit outlook which obviously did not include any M&A events despite all macro headwinds so far this year. We continue to target an 80 to 90% expense to revenue ratio despite the J-curves of the recent M&A investments coming weeks. We have great confidence in the impact of AI-driven productivity measures as they are going to pay off over the coming years. With respect to current cloud backlog, our expectation of a slight deceleration over the course of the year remains unchanged. The second half typically accounts for the lion's share of our annual bookings and we remain focused on converting the pipeline we have built. As the situation in the Middle East remains in flux, the range of possible outcomes for the metric continues to be wider than we would like. To close, while there has been no shortage of volatility in the macro environment and massive noise around the alleged SaaS apocalypse over the last quarters, the underlying trajectory of our business remains fully intact as evidenced by solid and sustained current cloud backlog growth. By virtue of starting to harvest the fruit of our successful cloud transformation, we are well positioned to honor our commitments to capital markets while at the same time heavily investing in our own transformation towards an autonomous enterprise to ensure the sustainability of our strong growth trajectories for years to come. The recent debate about exploding token costs at most enterprises supports our strategy of leveraging a unique combination of both deterministic, highly scalable and low-cost mission-critical enterprise applications on the one hand and probabilistic agentic AI-powered solutions on the other where highly assured deterministic solutions are not yet attainable and heavy human intervention is the baseline. AI can very effectively compete with labor. This dexterity at unrivaled levels of functional breadth, reliability, semantic richness, industry-specific process know-how, cost competitiveness, and last but not least, enterprise-grade governance makes us the partner of choice for those enterprises who do not see AI as a destination but a means to reach better efficiency. All this without enterprise-grade assurance requirements and risk. We are more convinced than ever that our strategy to not be locked into any generic large language model but to flexibly benefit from the vibrant competition amongst them in terms of both performance and cost is the right one. And in times of high geopolitical uncertainties, customers do value the resilience of this model delivered by a provider headquartered in Germany. Sovereign requirements are taking center stage for more and more customers. We will continue to work very hard every day to re-earn the trust they put into us. Our priorities for the second half of the year are clear: sustain the momentum in our cloud business, deliver on the operating leverage we have committed to, and close the year with strength. Thank you and we are happy to take your questions now.
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Host17:45
All right, we will now take your question. I would like to kindly remind you to only ask one question when prompted. Operator, please open the line for the first question.
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Operator17:56
Ladies and gentlemen, at this time we will begin the question and answer session. Anyone who wishes to ask a question may press star followed by one on your touchtone telephone. If you are using speaker equipment today, please lift the handset before making your selection. Again, anyone who has a question may press star followed by one at this time. We will take our first question from Adam Wood with Morgan Stanley.
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Adam Wood18:22
Hi, thanks for taking my question. It's probably one for you, Dominic. I think investors have got used to the kind of beat and raise cycle from SAP on the operating income line and there is maybe a little bit of surprise to see the weaker second quarter. Appreciate there are good reasons behind that, but maybe also the cut to the full year suggests there was a little bit less room for maneuver than people thought. I know you have given that 80 to 90% expense to revenue growth guide, continue to guide for that for 2027, but could you just talk a little bit going into a bit more depth there around how you think about how much room there is for margin expansion in the business over the next 12 to 24 months? Has there been a shift in focus in terms of what you need to invest in the business and what you need to invest to drive topline growth versus driving the margins higher? And maybe specifically on the AI investments you are making and the returns in the business, any more detail you can give us on the scale and time frame of payoffs to those? Thank you.
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Dominic Asam19:13
Well, that's a lot of questions, but all centering around the operating profit for Q2. First of all, let me reiterate that it's from my perspective not really conducive to look at one single quarter, but really over several quarters. For instance, if you look at the first half, you see that our operating leverage envelope has been well respected and we will also see that for the full year 2025 we will be well in that operating leverage formula, even including the acquisitions we have made. Of course, that pushes the point a little bit more to the downside of the range. But we think the real absolute highest priority is to drive the AI transformation forcefully and to protect the top line in the current environment while still preserving discipline on the growth. In many areas like development, we are in a stage where we are ramping capacities. We mentioned the hirings we did for selective, very selective but very high performing resources, but also the widespread token usage where we are improving the efficiency and improving the bang for the buck, introducing model routing technologies and so forth to optimize the bang for the buck. So this is why I mentioned in my introductory remarks that from my perspective there is no point in extrapolating just one single quarter where we had a concentration of all the factors I have already mentioned. It was a little bit of a special quarter, so don't read too much into that now. It is true though that the M&A acquisitions we did will have an impact which is in excess of 100 million, and we had a debate: should we upgrade the underlying organic guidance and absorb that on top, or should we keep the wiggle room to drive aggressive growth? We decided to go for the latter. So that is the backdrop on that.
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Christian Klein21:19
And maybe, Adam, just to build on what Dominic said, as we are building the plan for the next 12 months, I always draw a little bit the comparison to our cloud transformation. The good piece this time is when you think about our cost margin, there is nothing which now stops us with the ability to switch models and always choose the best model for an ideal price outcome. We see already that for many agents we are now developing, especially for Jewel work, we don't always need to use the expensive frontier models, so that will always help us to manage the cost margin at a very healthy level. Second, when you think about the productivity overall of the company, when I look at development, right now we are very busy shifting the backlog from SaaS features and UI enhancements to AI development. But you know what we need is what we already have in-house. We have a lot of domain know-how in data and business processes. Now we need to hire a few great data scientists to build the ontology layer. That is what we need. But there is nothing like in DevOps where we need to build up a massive operations like in the cloud transformation. The good piece is on the go-to-market side. We need our consultants now to drive massive agent extensions and also adoption, and there we are now reshuffling parts of our consulting to really work with the customers hands-on in the hybrid landscapes to drive that. So we have a lot of the capabilities already in-house. In the second half, it is all about reskilling and enabling our workforce to work with AI. When I look at the productivity levels in development, depending on the area, we see on average a 30% productivity increase. I am convinced especially when it comes to adding more agents and data layers to our applications, this is not even the end. We can easily reach a higher productivity level but we need to give ourselves a little bit of time in the second half. Again, the outlook for the next 12 months: I don't see anything similar to the cloud transformation where we had to invest massively into the buildup of our operations.
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Host23:36
We will move to our next question from Mohamad Moawad with Goldman Sachs.
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Mohamad Moawad23:42
Great, thank you. Good evening, Christian. Good evening, Dominic. My question was more focused on the top line. Given you haven't really seen any deceleration to date in CCB, can you talk about the visibility you have for the rest of the year on cloud revenue? And then just to extend that one step forward, Christian, can you talk a bit about how the pipeline has evolved coming out of Sapphire with the launch of the roadmap and some of the agents? When do you expect to drive both adoption and monetization of some of your AI solutions? Could you see that effect potentially towards the end of the year or is it still more into next year and beyond? Thank you.
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Christian Klein24:27
I can get started and Dominic, please add. Being seven months now in the year, the predictability on cloud revenue is becoming better and better. So we are very confident to hit our guidance for the year despite the volatility we still see and we had in Q1. Now the pipeline after Sapphire for the second half is better than expected and it has better coverage than last year, especially when customers saw the new platform. We have hundreds of customers now in beta testing and the feedback is extraordinarily good. The good piece is also that a lot of our customers built custom agents, but they all came back and said: we are really missing a good price-to-outcome ratio, we are missing the efficiency against the value we expected, and the IT teams are often completely overwhelmed managing agents in hundreds of countries. So the governance is not easy. And there the customers really saw SAP with the new platform and the announcement we did, which definitely reconfirmed the belief that SAP will deliver the leading AI platform. Net net, despite the macro volatility, we see a very positive pipeline for the second half. Obviously, now when the customers also see by building the agents in their hybrid landscapes, they also see the need to modernize the landscapes. That is also a very important pillar. In Q2 you saw the big RISE deals we closed and all of these customers said: with the current data quality and complexity in ERP landscapes, AI is going nowhere. So we need to modernize while we implement and drive adoption of AI, and both they get with SAP. That was really reassuring in Q2 that a lot of customers are realizing we need to do both: we cannot stop ERP migrations while we want to leverage the power of AI.
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Dominic Asam26:40
Quantitatively, comparing the evolution of 2025 to what happened in 2024, in 2024 we had a higher than expected deceleration in CCB growth. We guided slightly and then it turned out to be more than slightly. Now we had a much better start actually in 2025. We guided slightly but you have seen not much attrition. Even if you adjust for M&A, it is actually very stable CCB development. The reason why we still stick with slightly is very much the macro uncertainty for the second half of the year where the outcomes can be more nuanced depending on what type of escalation you might see. But operationally, CCB growth development is much more stable this year. And also in relation to cloud revenue growth, we now see that while last year there was a big gap where cloud revenues were below CCB growth, that now has flipped. So that is really positive from my perspective.
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Host27:44
We will move to our next question from Ben Castillo with BNP Paribas.
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Ben Castillo27:50
Hi, good evening. Thanks for taking my question. Just on that cloud revenue outlook, please. H1 is running slightly ahead of your guidance, so we are looking at quite a material deceleration in cloud revenue growth in the second half to get to your guidance midpoint. This despite adding more M&A, despite CCB growth re-accelerating in Q2 and also growing ahead of cloud revenues, which is usually positive directionally for trailing cloud revenue growth. How much of this is just prudence given what is going on in the world, and how much is actually what you really expect? How can we get comfortable with that deceleration implied in the second half? A quick follow-up on the macro side: did you actually see any impact on sales cycles and pipeline conversion in Q2? Could the backlog growth be better in Q2 without that? Thanks.
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Christian Klein28:43
Yeah, because of the macro now in Q2 definitely. Look at the CCB, super strong. We don't see any major headwind because of macro. Obviously in the Middle East, a few deals here and there got delayed, but definitely not at a large scale. Let's hope it continues like that in the second half. Regarding the revenue in the second half, it is very important for me to mention that all three acquisitions we did were not to acquire revenue. All three acquisitions have only a very minor impact on CCB and revenue. The latest two actually have no impact on cloud revenue. For us, this was very important to just entrench our data and ontology layer, what I outlined in my intro. Last but not least, being seven months in the year, the predictability becomes better and better. So we are more and more confident that we can hit the guidance we outlined at the beginning of the year despite all the volatility we see in the market.
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Host29:58
We will take our next question from Kirk Materne with Evercore ISI.
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Kirk Materne30:03
Yeah, thanks very much, Christian. Can you just follow up on that last point on the most two recent acquisitions you have done? I would be curious to go over the thought process behind specifically Prior Labs and the idea of bringing on technologists around tabular models. What is the strategy for taking that IP and monetizing it across the customer base? Give us an idea of how we should think about the return on that acquisition, and I realize Dreo plays into it a little bit as well. Thanks.
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Christian Klein30:39
Yeah, I said it last time, we went through a learning curve in development over the last two years when it comes to building accurate and reliable AI. What we are now doing with the new platform, and again the accuracy tests are very promising. First, the agents have access to a lot of mission-critical data in the ERP, the most mission-critical data of a company, which is great. When you are doing replenishment, financial forecasting, workforce planning, often you not only need SAP data, you also need non-SAP data. That is why we acquired Dreo. That gives us access to this data without copying it, real-time access, which is very important. With Rellio, the second layer: now you have a lot of data, but you need high quality data. We have a very strong master data governance solution but we were missing a master data governance solution for non-SAP data because we want to build one semantic data layer. In development, we are shifting our developers to not only expose data products on our new platform but also join data products. A customer model for churn, for example, includes over 100 data objects across the ERP plus often over 400 data objects in the non-SAP world, like in Salesforce, social media, the web. We are joining these data products to build semantic models. Then Prior Labs comes in. We want to keep it open source but monetize it through our agents. We are pricing our agents based on value. Prior Labs will give our agents the ability to predict more accurately than any other agent in the industry because we use the tabular AI models to source SAP and non-SAP data, and they can run predictions without curating data or managing a data pipeline, delivering predictions up to 99% accuracy out of the box. You need predictions in finance, sales, and many industry AI agents. So we want to use the Prior Labs tabular AI module to include that in our agentic AI layer and monetize through the agents. We don't want to monetize the model on its own, we want to monetize it via the value of our agents.
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Dominic Asam33:29
Maybe at the risk of stating the obvious, what is also so interesting about Priaps is that it is trained on tabular databases. SAP has probably the biggest reservoir of data in tabular databases, and that is not public data, it is proprietary data. So that is a very different ballgame from large language models where a lot of public data is scraped. The combination of that technology with the unique treasure of data that we have in that format positions us extremely well to run this frontier model.
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Host34:08
We will take our next question from Michael Briest with UBS.
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Michael Briest34:13
Great, thank you. Good evening. A question on the R&D side of things. Headcount looks to be up 3% year on year and costs up 14%. In Q1, the numbers were 2% and 2%. At Sapphire, you were talking about some compensation structure change. Can you elaborate on whether there has been either targeted or significant increase in rates for R&D staff and also where your token costs would go? Would those go into cost of sale or if they are related to developing products, would they go into R&D? Is that part of this increase? Thank you.
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Christian Klein34:51
Good question, Michael. In the last 12 months, we invested into new job profiles in R&D: data scientists, data engineers. We invested into full-stack developers for industry AI. But we will now continuously slow down hiring for other profiles because AI productivity is kicking in. The highest token consumption is in R&D, and we see productivity gains of an average of 30%. There is no need anymore to hire additional people. You also see that costs are up more than headcount. That is the token effect. We charge the tokens to the functions using them. Second, for very few top-caliber people we hired, they came with a higher personal expense per FTE than average. That is what Christian was alluding to. You can expect now in the next 12 months not a further increase in headcount. It is just about getting a few experts in and driving the productivity of R&D in line with token consumption.
One addition. What is also very important, Michael, and it also relates to our customers: we are now managing with our customers the development backlog from SaaS features to AI development. With this change in the backlog, we don't want to incrementally add to the development backlog; we want to change the backlog from feature development into agentic AI development. That is a transition period. We cannot stop feature development of our SaaS solution from one day to another. But this transition is already on its way. Customers are heavily interested in shifting their feature requirements into agent requirements. That process is ongoing to see the R&D productivity in the next 12 months.
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Host37:09
We will take our next question from Charlie Brennan with Jefferies.
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Charlie Brennan37:13
Great, thanks for taking my question. Can you say something on the recent European ruling on maintenance? There is some suggestion that giving customers more maintenance options potentially opens the door to them staying on ECC for longer. Do you think this ruling actually changes any behavior on the ground? And maybe as a small modeling follow-up, Dominic, you have given us the loss run rate for Dreo and Prior Labs, but can you say anything about the revenue and CCB contribution from them? Thank you.
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Dominic Asam37:51
Let's start with the last question. It is negligible. Contrary to what was just said, a less than one percentage point increment in CCB growth, not much different on cloud revenue growth. It is basically negligible on these two acquisitions. That is why we didn't comment much. Now on the EU ruling. This is an agreement between the EU and SAP to commit to certain mitigations in terms of flexibility on maintenance. First, I want to stress that maintenance is extremely highly valued by the lion's share of our customers. They clearly see the value of being current on cyber patches, compliance patches, legal patches, and some functional improvements we bring. We have also in the past granted flexibility for customers to adjust their software spend to needs. That has been to some degree formalized in this agreement, and some more flexibility has been granted in limited scenarios. For customers that are prioritizing lower spend over the advantages of maintenance and support, there might be an impact, but we think we can manage it. Don't forget that maintenance is also phasing out as we convert customers to cloud and RISE, and that has nothing to do with ECC versus S/4 transition because at some point maintenance will expire. ECC maintenance is basically zero anyway. Last point, we see a nice pickup in returns from third-party maintenance. That gives us confidence. When people try third-party maintenance for a while, they tend to be more nervous about incidents and come back. Some discussions are about how to deal with customers who want to come back and how much back maintenance they need to pay.
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Host40:07
Our next question comes from Frederick Baird with Bank of America.
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Frederick Baird40:13
Hi, good evening Christian, Dominic. If I can come back on the cost side, can you comment on the decline we have seen in cloud margins this quarter and more broadly on the R&D side? There is a bump as well in terms of sales and marketing. Is it something structural in terms of rebalancing from sales and marketing into R&D, or is it more about an initial investment that should normalize over time? Thank you.
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Christian Klein40:44
Absolutely the latter. Give us some time. This is the second transformation we are in. First, you need to reshuffle the backlog. Our backlog was full of feature requests from customers. We need time to reshuffle this to AI and we are on a good path. We already see that the share of agentic AI development in the backlog has substantially increased. The second part: we invested into getting the right experts into SAP and into AI tokens. At the same time, we are already seeing productivity gains. Now in the next 12 months, after I have done that, you will see very healthy R&D ratios going forward. There is no structural shift. The same is true for the cost margin. In Q2, we had some one-time investments into test environments for our new platform and into Jewel work. We had a cost increase for the software environments, but for the bulk of our cloud operations delivered by hyperscalers, we see no cost increase. There were some minor one-time impacts in Q2, but nothing that will continue in the second half or in the next 12 months.
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Dominic Asam42:07
And recall, we have always given that formula that total expenses will grow at 80 to 90% of revenue growth. We always said we want some wiggle room within any specific line item. That has served us well and gives us flexibility to optimize the business while sticking to that envelope. We have no reason to change that. The longer we wait, the more it turns out to be a very solid corridor for how we can leverage revenue growth down to the bottom line.
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Christian Klein42:39
One last point. When our AI business is really starting to scale, think about the price levels we can achieve in the market. For 50 years, this company has sold systems of record, first on-prem then cloud, but customers were used to a certain discount level. We have very successfully maintained healthy price levels, as you have seen in the cost margin development of SAP. Who would have thought we would achieve such a cost margin five years ago? Now with AI, we can completely reset the price level. You go to a customer and say: it is not your end user, it is not your financial accounting team doing the financial close, it is the agents doing this autonomously, and here is outcome-based pricing. There is nothing you can relate to from system of record pricing. That is a unique chance for SAP to do a reset and really price based on outcome and value. That is our clear task to our salespeople: don't even go to the SaaS world, don't even go to the price levels you have given. This is a new way of selling and pricing. This unique chance will hopefully result in an acceleration of our AI cloud revenue in the next 12 months, and also in very healthy cost margins going forward.
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Host44:10
We will take our next question from Toby Aag with JPMorgan.
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Toby Aag44:15
Hi, good evening and thanks for the question. Perhaps just on the new EBIT guidance. Dominic, EBIT slowed to 9% in Q2 for the reasons you laid out, but you had a strong Q1. Overall H1 EBIT growth constant currency was 16%. The guidance midpoint implies sort of mid-teens EBIT growth in the second half, which would imply a re-acceleration relative to Q2 EBIT growth. Can you help us understand what would drive that re-acceleration from the Q2 EBIT growth rate and what gives you confidence in that as we think about the second half? Thank you.
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Dominic Asam44:58
I did mention in my introductory comments that Q2 was a little bit of an abnormal situation because we had a strong contribution from cloud revenue growth acceleration. We are optimizing massively on how we spend tokens by virtue of tight controlling. We can now on a very granular basis see who is using what tool, what is output driven, and we will funnel tokens in a way that gives better bang for the buck. There are also measures on cost containment to focus resources where it matters. You nicely summarized the thinking in terms of H1 and H2. This is exactly what we are going to do.
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Host45:46
We will take our next question from Michael Turrin with Wells Fargo.
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Michael Turrin45:51
Hey, great. Thanks for taking the question. I just want to ask a little bit of a different flavor on the questions around bookings and margins. CCB growth improved this quarter. I think that is a surprise to many given the backdrop, but margins coming in a touch, Dominic. Walk us through both what drove the Q2 growth improvement and then why that doesn't flow through to operating income. Is there anything outside of M&A impacting that relationship? Are you saying on the organic side things are generally improving and it is all tied to just some dilution impacts?
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Dominic Asam46:28
Let me do it step by step. If you look at the deceleration in the growth of non-IFRS operating profit, Q1 was extremely high at 24% versus Q2. First, there was a strong positive from lower stock-based compensation because of a 60 euro share price drop in Q1 that didn't recur in Q2. So that is sequentially going down. We had a heavy R&D investment discussed at length. We had slower growth in cloud revenue growth, predominantly driven by the comparison in the prior year. In the prior year, we had an increase of two percentage points in cloud revenue growth from Q1 to Q2, so the comps are less favorable. That will flip around in the next quarter. We had some pointed marketing investment around the launch of the autonomous enterprise, and a minor negative effect from first-time inclusion of Rellio in early May. That gives you the bridge why Q1 had a higher growth rate on non-IFRS operating profit than Q2. Put it together, you see a kind of mid-teens increase in operating profit for the two quarters taken together. We are expecting something similar with the measures I highlighted in the second half. This is more comfortable to achieve than topline topics because it is entirely under our control. CCB is the more important measure for bringing that home because it requires customers to sign contracts, whereas our spend is entirely under our control.
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Christian Klein48:35
Just to close it out on the bottom line, last week we also reviewed our hiring plans for the next 12 months and for 2027. Seeing the increase in AI token consumption and the increase in productivity not only in development with Jewel work, but we are going to see it cross-company. We have 4,000 users inside SAP using Jewel work with tremendously good feedback. That will hit the market in Q3 as well. We also adjusted our hiring plans. For this year, we will nowhere near hire the number of people we planned to hire at the beginning of the year, and also for next year. We are balancing AI token consumption and headcount in the right way so that we see the productivity increase hitting the 80 to 90% expense to revenue ratio we committed to.
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Operator49:31
Ladies and gentlemen, the conference is now concluded and you may disconnect your telephone. Thank you for joining and have a pleasant day. Goodbye.