2 Sources
[1]
SAP shrugs off AI eating software fears with big earnings beat
Enterprise software giant SAP SE's stock inched up in late trading today after it shook off concerns that its business might become a victim of the artificial intelligence boom by posting solid results in its latest earnings report. The strong numbers posted by SAP today suggest that AI tools that can automate some kinds of business work and processes aren't yet replacing its software, which spans cloud services and operating systems for large enterprises. The company reported second-quarter earnings before certain costs such as stock compensation of €1.89 ($2.15) per share, surpassing Wall Street's consensus estimate of €1.68 by a wide margin. Meanwhile, SAP's revenue increased 11% from the same period one year ago to €9.88 billion, beating the €9.85 billion analyst target. Those numbers helped SAP to post an operating profit of €4.16 billion in the quarter, up from a profit of just €3.54 billion one year ago. Investors liked what they saw, and SAP's American depository receipts gained more than 2% in the after-hours trading session. SAP's cloud business unit, which is by far its largest segment, saw sales grow 24% from a year earlier. Meanwhile, its cloud backlog jumped 26% to €22.9 billion, the company said. The business has grown immensely in recent years as more of SAP's customers shift their data from on-premises database systems to SAP's cloud platform, which generates a recurring source of revenue. However, that shift has come at the expense of the company's software support revenue, which declined 7% in the quarter. Like many software companies, SAP has been under pressure for the last year amid fears that AI tools will one day, perhaps even soon, replace the need for traditional software tools. After all, why pay to use an expensive enterprise resource planning platform when you can simply have an AI coding bot create one for you for free? Fortunately for SAP, doing that isn't nearly as simple as it seems. However, its stock has still declined 40% in the year to date, primarily due to these concerns. But SAP is trying to change the narrative, and its management insists that it can actually become one of the leading AI providers. Chief Executive Christian Klein (pictured) argued that generic AI tools simply cannot match the capabilities and reliability of SAP's embedded AI solutions. "Customers are choosing SAP to enable accurate and compliant AI outcomes grounded in their most critical business processes and data," he insisted."We 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." SAP did not bump up its revenue guidance, instead just reiterating an earlier forecast for its full-year revenue and cash flow. However, it did reduce its guidance for non-adjusted operating profit by €100 million, following its acquisitions of Dremio Inc. and Prior Labs GmbH in May.
[2]
SAP trims 2026 profit goal, signalling cost of AI push
Unlike consumer AI tools, enterprise AI depends heavily on structured, secured and regulatory compliant company data. Vendors such as SAP are spending on infrastructure and automation systems that matches those demands to connect AI tools and protected data so customers can apply AI to finance, supply chain and HR processes. SAP trimmed its 2026 operating profit outlook on Thursday as recent AI-focused data acquisitions weighed on earnings, showing the near-term cost for enterprise software makers of adapting their products for artificial intelligence. The German company cut its 2026 non-IFRS operating profit outlook to 11.8 billion-12.2 billion euros, from 11.9 billion-12.3 billion euros, citing a more than 100 million euro ($113.76 million) dilutive impact from its Dremio and Prior Labs acquisitions. Unlike consumer AI tools, enterprise AI depends heavily on structured, secured and regulatory compliant company data. Vendors such as SAP are spending on infrastructure and automation systems that matches those demands to connect AI tools and protected data so customers can apply AI to finance, supply chain and HR processes. "The only change is the operating profit adjustment I just explained, driven solely by mergers and acquisitions," CFO Dominik Asam said in a press call. SAP left its 2026 cloud revenue target unchanged at 25.8 billion-26.2 billion euros as second quarter rose 24% year-on-year at constant currencies to 6.28 billion euros. Current cloud backlog rose 26% at constant currencies to 22.93 billion euros, signalling resilient contracted cloud revenue over the next 12 months. Cloud ERP Suite revenue rose 27% at constant currencies to 5.53 billion euros, while software licence revenue fell 32% at constant currencies to 131 million euros, reflecting SAP's shift from upfront licences to subscriptions remained stable with sustained client spending.
Share
Copy Link
SAP posted strong Q2 earnings with cloud revenue up 24% and cloud backlog jumping 26% to €22.9B, beating analyst expectations. But the enterprise software giant trimmed its 2026 profit outlook by €100M following AI-focused acquisitions of Dremio and Prior Labs, revealing the near-term costs of adapting products for artificial intelligence.
Enterprise software giant SAP posted second-quarter earnings that exceeded Wall Street expectations, pushing back against mounting fears that AI tools might replace traditional business software
1
. The company reported earnings before certain costs of €1.89 per share, surpassing the consensus estimate of €1.68, while revenue increased 11% year-over-year to €9.88 billion, beating the €9.85 billion analyst target. Operating profit reached €4.16 billion in the quarter, up from €3.54 billion one year ago, helping SAP's American depository receipts gain more than 2% in after-hours trading.The strong earnings report comes as SAP's stock has declined 40% year-to-date, primarily due to AI eating software fears that have pressured many software companies over the past year
1
. Investors have worried that AI coding tools could eventually create custom enterprise resource planning platforms, potentially eliminating the need for expensive traditional software solutions.SAP's cloud business unit delivered particularly impressive results, with cloud revenue rising 24% at constant currencies to €6.28 billion
2
. The company's cloud backlog jumped 26% at constant currencies to €22.93 billion, signaling resilient contracted revenue over the next 12 months. Cloud ERP Suite revenue rose 27% at constant currencies to €5.53 billion, reflecting sustained client spending as more customers shift from on-premises database systems to SAP's cloud platform, which generates recurring revenue streams.This growth has come at the expense of software support revenue, which declined 7% in the quarter, and software license revenue, which fell 32% at constant currencies to €131 million
1
2
. The decline reflects SAP's ongoing shift from upfront licenses to subscription-based models.While SAP maintained its 2026 cloud revenue target of €25.8 billion to €26.2 billion, the company trimmed its operating profit outlook to €11.8 billion to €12.2 billion, down from €11.9 billion to €12.3 billion
2
. The adjustment reflects a more than €100 million dilutive impact from the cost of AI push through recent acquisitions of AI-focused data companies Dremio and Prior Labs in May. CFO Dominik Asam clarified that "the only change is the operating profit adjustment I just explained, driven solely by mergers and acquisitions."These acquisitions signal SAP's strategic investments in infrastructure and automation systems needed to connect AI tools with protected, structured data. Unlike consumer AI tools, enterprise AI depends heavily on secured and regulatory compliant company data, requiring vendors to build systems that allow customers to apply AI to finance, supply chain, and HR processes
2
.Related Stories

Source: SiliconANGLE
CEO Christian Klein argued that SAP can become one of the leading AI providers by offering embedded AI solutions that generic tools cannot match
1
. "Customers are choosing SAP to enable accurate and compliant AI outcomes grounded in their most critical business processes and data," Klein stated. He emphasized the company's Autonomous Enterprise strategy, noting "strong momentum across our Autonomous Suite as well as our Business AI Platform."The performance suggests that while AI tools can automate some business work and processes, they aren't yet replacing SAP's comprehensive software spanning cloud services and operating systems for large enterprises. The company's ability to deliver AI capabilities built on trusted, compliant data infrastructure may provide a competitive moat against both generic AI tools and emerging competitors in the enterprise software market.
Summarized by
Navi
[1]
24 Apr 2026•Business and Economy

22 Oct 2024•Business and Economy

30 Jan 2026•Business and Economy

1
Technology

2
Policy and Regulation

3
Science and Research
