SAP’s AI Moment Is Really a Test of DAX Earnings Quality

What if the market’s AI question is not whether companies can sell more software, but whether they can do so without spending away the gains? That is the real issue behind SAP’s third-quarter results on October 21, 2026. With the DAX searching for direction and investors looking beyond ambitious technology narratives, SAP has become a useful test of whether artificial intelligence is strengthening corporate earnings—or simply making the story more expensive.

The setup is unusually clear. SAP’s Q2 performance offered plenty of evidence for the bullish case: current cloud backlog reached €22.9 billion, up 27%, or 26% at constant currencies, while Cloud ERP Suite revenue rose 25%, or 27% at constant currencies. Yet the company also reduced its 2026 non-IFRS operating profit outlook after the acquisitions of Dremio and Prior Labs, citing a projected dilution in excess of €100 million. SAP’s investor materials show both sides of the argument in one place.

The third-quarter release is scheduled for 10:05 pm CET, according to SAP’s events calendar. That timing matters less than the questions attached to it: is cloud demand holding up, are AI investments becoming productive, and can profit growth keep pace with the capital and operating costs required to pursue the next phase?

Cloud growth is the evidence, not the whole investment case

The market has a straightforward benchmark. Morningstar reported a consensus expectation of 24% cloud revenue growth for the third quarter. That is a demanding number, but it is also a more useful measure than a broad promise about “AI transformation.” Revenue from cloud services shows that customers are moving workloads and spending into SAP’s newer model. It is closer to recurring commercial evidence than a product demonstration or management slogan.

SAP’s full-year 2026 outlook calls for €25.8 – 26.2 billion in cloud revenue at constant currencies, representing growth of 23% to 25%. It also expects €36.3 – 36.8 billion in cloud and software revenue and approximately €10 billion in free cash flow. Those targets establish the boundaries for the debate. A quarter that merely lands near expectations may not be enough if investors are already treating sustained growth as the normal outcome.

In our view, the important signal will be the quality and durability of the backlog. SAP says its current cloud backlog growth benefited from the first-time inclusion of Reltio, which contributed less than 1 percentage point to constant-currency growth. That makes the underlying trend look relatively robust, but it also reminds investors that acquisition effects can blur the organic picture. The strongest result would not just be a large backlog number; it would be evidence that customers are continuing to commit to SAP’s cloud products without the growth depending heavily on purchased additions.

AI spending will be judged by the income statement

SAP’s language is familiar across the technology sector: customers want AI outcomes grounded in their business processes and data. That proposition may be strategically sensible. Enterprise software is a natural place to apply AI because the systems already contain operational information, compliance rules and workflows.

But strategy is not the same as economics. SAP says accelerated research-and-development investment contributed to the sequential decline in operating-profit growth. The Dremio and Prior Labs acquisitions add another visible cost: the company expects their dilutive impact on 2026 non-IFRS operating profit to exceed €100 million. Reuters described the lower profit goal as a signal of the cost of the AI push, while noting that SAP left its cloud revenue target unchanged. That split between sales momentum and near-term profitability is the central fact investors must interpret.

There are two possible readings. The optimistic one is that SAP is spending ahead of a larger opportunity, and that the temporary margin pressure will buy capabilities customers will eventually pay for. The skeptical one is that AI has become a justification for acquisitions and investment whose returns remain difficult to measure.

We think the burden of proof should now sit with the optimistic case. AI is not valuable merely because it expands a software company’s addressable market. It has to improve retention, increase cloud adoption, lift cash generation or create pricing power. If the third-quarter discussion emphasizes capability and customer enthusiasm but offers little evidence of financial leverage, investors would be right to remain cautious.

SAP can guide the DAX, but it cannot rescue weak fundamentals

The broader market backdrop makes SAP’s report more consequential. Recent trading commentary described a hesitant DAX, with investors looking toward technology earnings and hard fundamentals for orientation. That does not mean one company determines the index. It does mean SAP occupies an important psychological position: it is a large European software business positioned at the intersection of cloud migration, AI enthusiasm and corporate spending discipline.

That combination makes SAP a better test of earnings quality than a pure AI narrative. The company already has a substantial backlog, a defined cloud revenue target and a free-cash-flow ambition. Investors can therefore ask whether the transition is producing a better business, not merely a more compelling presentation.

The risk is that expectations have become too smooth. Cloud growth is expected to remain strong, while operating profit is also projected to rise 13% to 17% at constant currencies in 2026, even after the outlook was adjusted. SAP’s own guidance also anticipates that software support revenue declines will accelerate in coming years as customers move to the cloud. That is a reminder that transformation can create a period in which the old business shrinks before the new one fully compensates for it.

The verdict: watch conversion, not excitement

SAP’s results should not be treated as a referendum on whether AI is real. That question is too vague to be useful. The sharper question is whether AI-linked spending is converting into recurring cloud demand and durable cash profits.

Our view is that SAP remains one of the more credible European vehicles for that test because its cloud business is already producing measurable backlog and revenue growth. But credibility is not immunity from valuation risk. If the quarter confirms roughly 24% cloud growth while profit pressure persists, the market may decide that growth is being purchased too expensively. If SAP demonstrates that cloud momentum is holding and that investment is beginning to translate into operating leverage, it could offer the DAX something more valuable than another AI headline: evidence.

For investors, the sensible stance is to wait for that evidence rather than extrapolate the narrative. The winner after SAP reports will not necessarily be the company with the most ambitious AI language. It will be the one that proves growth survives contact with the income statement.