Snowflake Crushes Q4 Estimates as AI Data Cloud Demand Hits an Inflection Point
Snowflake’s Q4 product revenue surged 30% to $1.23B with EPS of $0.34, smashing estimates as over 9,100 accounts now use its AI offerings.
If you have been watching the enterprise AI trade, Snowflake just gave you a reason to pay attention. The data cloud company dropped its fourth-quarter results on February 25, and the numbers came in hot across the board.
The Numbers That Matter
Product revenue hit $1.23 billion for the quarter, up 30 percent year over year and ahead of Wall Street estimates. Earnings per share landed at $0.34 versus the $0.27 consensus — a clean beat that tells you the business is scaling efficiently, not just growing revenue at any cost.
The stock popped over 5 percent in after-hours trading, which tells you the market liked what it saw. But the real story is not the quarterly beat — it is the trajectory.
AI Adoption Is Accelerating Inside Snowflake
Here is where it gets interesting. Over 9,100 Snowflake accounts are now actively using the company’s AI products — that is a substantial portion of its customer base engaging with AI features. Snowflake Intelligence, the company’s AI assistant for data analysis, nearly doubled its account base sequentially to 2,500 accounts in Q4 alone.
When a data platform sees that kind of AI adoption curve, it means customers are not just experimenting — they are integrating AI into their actual workflows. That is the difference between hype and real enterprise spending.
A $400 Million Deal That Speaks Volumes
The standout data point might be the single deal that exceeded $400 million in total contract value. Deals of that size in the data infrastructure space are rare and indicate deep, multi-year commitments from large enterprises. When a customer signs a nine-figure contract for your data platform, they are betting their analytics strategy on you for years to come.
What the Guidance Says About Fiscal 2027
Snowflake guided for 27 percent product revenue growth for the full fiscal year, with expanding margins. That is a confident outlook from a company that is clearly riding the enterprise AI spending wave. The margin expansion part is key — it means Snowflake is growing efficiently, not just throwing money at growth.
What This Means for Investors
Snowflake sits at the intersection of two massive trends: cloud data infrastructure and enterprise AI adoption. The Q4 results confirm that these trends are accelerating rather than plateauing. For investors looking at the AI value chain beyond GPU makers, Snowflake is making a strong case as the data layer play.
The AI trade is not just about chips anymore — it is about the entire stack. And Snowflake just proved it belongs in that conversation.
Sources: BusinessWire, February 25, 2026; SiliconANGLE, February 2026; Investing.com, February 2026