For a company that spent the better part of two years defending itself against questions about whether its growth story was finished, Snowflake (SNOW) just put together a quarter that made those questions feel premature.
The numbers reported on May 27 were not just better than expected. They represented the kind of acceleration that changes how analysts and investors think about what a business is actually capable of. Product revenue came in at $1.33 billion, up 34% from the same period a year earlier, stepping up meaningfully from 30% growth in the prior quarter and 20% growth in the equivalent quarter twelve months ago. The beat against Snowflake's own guidance range was roughly $69 million, an unusually wide gap for a company of this size and one that signals genuine demand surprise rather than conservative guidance management.
The reaction from Wall Street arrived quickly. HSBC upgraded the stock, with analyst Stephen Bersey describing the quarter as evidence that Snowflake's AI monetization opportunity is now producing real results rather than roadmap promises. Truist Securities and Freedom Broker both lifted their price targets to $275 and $300, respectively, citing momentum in AI workloads and stronger-than-expected platform adoption. The full-year product revenue guidance also increased, now pointing to $5.84 billion, implying 31% growth for the fiscal year.
One Product, One Quarter, One Very Different Conversation
One product drove an outsized share of what happened in the quarter, and the company's own finance team said so directly on the earnings call.
Cortex Code, known internally as CoCo, is an AI-powered code generation and developer assistant tool that Snowflake made generally available on February 5, 2026, the literal opening day of the quarter. By the time earnings were reported, more than 7,100 accounts had adopted it. Brian Robins went further than most CFOs would, naming CoCo directly as the primary force behind why guidance moved higher. A company that typically speaks in aggregate terms about product performance chose to break from that habit entirely. When a CFO volunteers that kind of attribution, it matters.
What makes CoCo strategically significant beyond the immediate revenue contribution is where it sits in a developer's daily workflow. Code generation tools do not get adopted casually and then set aside. When a development team routes its coding processes through a platform-native AI assistant for 60 to 90 days, that tool becomes embedded in build pipelines, testing routines, and daily habits in ways that survive most budget cycles. Replacing a tool that has become part of how engineers write and ship code every day is not a decision any team makes lightly, regardless of what the procurement spreadsheet says.
What the Rest of the Numbers Say
Beyond CoCo, the broader metrics painted a consistent picture of a business accelerating across multiple dimensions simultaneously. Net revenue retention landed at 126%, meaning existing customers are spending meaningfully more than they were a year ago. That figure is not just healthy. It tells you that the enterprise relationships Snowflake has built over the years are deepening rather than plateauing.
The company added 616 net new customers in the quarter, up 38% year over year, and the highest single-quarter net addition figure in company history. Large customer growth was equally impressive: 779 customers now generate more than $1 million in trailing twelve-month product revenue, representing 29% growth from a year earlier. Forty-six customers crossed that threshold in the quarter alone, compared to 26 in the same period last year. Remaining performance obligations reached $9.21 billion, up 38% year over year, providing substantial contracted revenue visibility into future quarters.
Operating margins also moved in the right direction. Non-GAAP operating margin expanded more than 300 basis points year over year to reach 12%, and the company raised its full-year operating margin guidance from 12.5% to 13.5%. That combination of accelerating growth and expanding margins is exactly what software investors want to see and rarely get simultaneously.
Why AI Is Working Differently for Snowflake Than It Has Before
Snowflake has been talking about AI as a growth driver for several years. The difference in this quarter is that the conversation has moved from potential to evidence. Snowflake Intelligence, the company's agentic AI product, more than doubled its adoption quarter over quarter. Core platform consumption also accelerated as enterprises moved workloads to Snowflake with greater urgency to support AI applications that require governed, organized data as their foundation.
The structural logic here is straightforward, even if the execution is complex. AI systems are only as reliable as the data they draw from. Enterprises building serious AI workflows need infrastructure that handles data governance, access controls, and multi-cloud compatibility without creating new problems in solving old ones. Snowflake has spent years building exactly that kind of trusted data environment, and the current AI buildout is generating demand for it in ways that previous technology cycles did not.
Where the Pressure Lives From Here
A quarter this strong raises the bar for everything that follows. Guidance for the second quarter points to product revenue between $1.415 billion and $1.42 billion, projecting continued 30% growth, which means the acceleration cannot be a one-quarter event without creating its own disappointment.
Valuation is another conversation worth having, honestly. Snowflake trades at a premium that reflects significant confidence in the durability of what just happened. If CoCo adoption plateaus earlier than the current trajectory suggests, or if enterprise AI spending softens, the stock's multiple leaves little room for the kind of miss that a single bad quarter can produce. The results earned optimism. Sustaining them is the harder task, and the market will be watching every data point between now and the next earnings report with considerable attention.
