SAP cloud revenue surges 24% as company pushes back against AI eating software fears

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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.

SAP Delivers Strong Earnings Amid AI Replacement Concerns

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

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. 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

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. Investors have worried that AI coding tools could eventually create custom enterprise resource planning platforms, potentially eliminating the need for expensive traditional software solutions.

Cloud Revenue and Backlog Show Resilient Growth

SAP's cloud business unit delivered particularly impressive results, with cloud revenue rising 24% at constant currencies to €6.28 billion

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. 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

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. The decline reflects SAP's ongoing shift from upfront licenses to subscription-based models.

SAP's AI Strategy Reveals Near-Term Costs

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

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. 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

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CEO Champions Embedded AI Solutions Over Generic Tools

Source: SiliconANGLE

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

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. "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.

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