SAP stock falls 11% as Q4 cloud backlog growth misses forecasts
SAP shares tumbled intraday, sliding as much as 11% after reporting Q4 2025 cloud backlog growth of 16% to €21.1 billion, missing UBS’s 26% forecast. The miss highlights a slower cloud ramp for large transformational deals, though CEO Christian Klein argues the backlog still lays a foundation for revenue growth through 2027 and SAP guides for a slight deceleration in 2026.
Key Takeaways
- Q4 cloud backlog rose 16% to €21.1 billion, vs UBS’s 26% forecast.
- Shares fell as much as 11% intraday, trading near the lowest level since mid-2024.
- Backlog slowdown is tied to large transformational deals and termination-for-convenience clauses, trimming quarterly backlog growth by about 1 percentage point in constant currency.
- CEO Christian Klein says backlog lays a strong foundation for growth through 2027 and the company guides for backlog growth to slightly decelerate in 2026.
People Involved
- Christian KleinCEO, SAP
Entities Involved
- SAP SE (SAP)Enterprise software company
- UBS Group AGFinancial services firm
MarketMoodz Analysis
For investors, the 16% backlog growth versus a 26% forecast implies near-term upside momentum in cloud revenue is unlikely to accelerate as quickly as hoped, potentially weighing on multiples for SAP relative to cloud peers. Backlog is a forward-looking indicator, and this miss raises questions about the pace at which large deals translate into revenue and margins in 2026–2027.
Historically, SAP has pursued high-ramp, long-duration cloud deals, a strategy that can yield outsized jumps but also volatility when contractual clauses like termination-for-convenience unwind. The stock’s intraday decline echoes similar episodes in 2020 when misaligned expectations led to rapid de-ratings in enterprise software, underscoring the risk of aggressive guidance revisions amid AI/cloud spending cycles.
What to watch next: monitor SAP’s 2026 backlog trajectory and any accompanying margin commentary, assess the impact of the slight deceleration guidance, and compare with peers’ cloud backlogs to gauge relative valuation as AI-enabled cloud demand evolves.
Source: Original Article
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