Snowflake Just Changed the Conversation About What It Actually Is

For the better part of two years, the question trailing Snowflake into every earnings call was the same one: when does the growth come back? May 27 delivered an answer, and the answer arrived with enough force that analysts who had spent recent months quietly trimming their price targets found themselves writing upgrade notes faster than they had written the cuts.

Product revenue for the first quarter of fiscal 2027 reached $1.33 billion, up 34% from the prior year period and the largest sequential dollar increase the company has ever recorded in a single quarter. Total revenue came in at $1.39 billion, up 33% year over year.

Adjusted earnings per share landed at $0.39 against a Street consensus of $0.32. The beat on revenue against expectations stretched to roughly $69 million, a margin too wide to explain away with conservative guidance mechanics. Something real accelerated inside this business between February and April, and the market spent the following week trying to figure out exactly how durable that acceleration is.

CEO Sridhar Ramaswamy described the quarter as an inflection point. Given the numbers behind the statement, calling it that felt like an accurate description rather than executive optimism. Full-year product revenue guidance moved to $5.84 billion from $5.66 billion, implying 31% growth across the fiscal year.

Remaining performance obligations grew 38% year over year to reach $9.21 billion, a contracted backlog that tells you customers are not just spending more today but committing to spend more tomorrow.

What the Analyst Community Did Next

Goldman Sachs lifted its price target to $278 and raised full-year fiscal 2027 revenue estimates to $6.09 billion, applying a higher multiple justified by a reset growth trajectory. The bank moved fiscal 2028 and 2029 numbers proportionally upward, treating the quarter not as a one-time beat but as evidence that the growth curve has genuinely shifted.

Wedbush pushed its target to $280 from $270 and kept its outperform rating, framing the results as confirmation that Snowflake has entered the phase of AI monetization where actual revenue follows the promises that preceded it. JMP Securities reiterated a $325 target, with analyst Patrick Walravens pointing to the platform’s ability to handle data engineering, analytics, and native AI application development inside a single environment as the structural reason enterprise customers stay and spend more over time.

Forty-five analysts carry buy or strong buy ratings on the stock. Zero carry sells. The consensus price target sits around $229. Given where Snowflake was trading before the quarter landed, that wall of conviction reflects a genuine reassessment of what this business can become rather than momentum-chasing after a good session.

Two Announcements That Extended the Story

Strong quarterly numbers alone would have moved the stock. What made the session more significant were two strategic developments sitting alongside the results that pushed the investment thesis into new territory.

The first was a five-year infrastructure partnership with AWS built around Snowflake’s Cortex AI operating natively on Amazon’s custom compute infrastructure. The arrangement deepens Snowflake’s presence inside the AWS Marketplace ecosystem and improves the long-term gross margin profile through volume-based pricing. More importantly, it repositions Cortex AI from an interesting product feature into an operational infrastructure that enterprises running generative AI workloads actively depend on. A platform embedded at that level of an enterprise’s AI stack does not get replaced casually.

The second was a definitive agreement to buy Natoma, a company that built an enterprise Model Context Protocol platform specifically for AI agents. The acquisition gives Snowflake the ability to extend data governance into AI-driven workflows, letting AI agents connect securely with the tools enterprise teams use daily while remaining inside a governed environment. As enterprises move past AI experimentation into actual deployment at scale, governance becomes the thing that separates AI applications that a legal and compliance team will approve from those they will not. Snowflake bought into that conversation at the right moment.

The Metrics Underneath the Headline

Net revenue retention came in at 126%, meaning the existing customer base collectively spent meaningfully more over the past twelve months than the twelve before it. New customer additions reached 616 for the quarter, up 38% year over year and the highest single-quarter total in company history. 

Among accounts generating more than $1 million in trailing product revenue, the count grew to 779, up 29% annually. Forty-six customers crossed that threshold during the quarter alone, against 26 in the same period a year earlier. Growth at both ends of the customer spectrum arriving simultaneously describes a business pulling in multiple directions at once, and all of them upward.

Where the Risk Conversation Has to Go

One strong quarter changes a narrative. It does not relieve the concerns that built during the preceding decline. Snowflake fell from a peak above $257 in late 2025 to a low near $144 in April 2026, reflecting real anxieties about growth sustainability, persistent losses on a GAAP basis, and the inherent unpredictability of a consumption-based revenue model where customers pay for what they use rather than committing to fixed contracts.

Those concerns have been answered with evidence, not just reassurance. But the premium the stock now carries leaves a thin margin for anything short of continued execution. 

The bar for the second quarter is now set at product revenue between $1.415 billion and $1.42 billion, and a company that just beat expectations by $69 million does not get the benefit of the doubt if it comes up short next time. 

The quarter earned the confidence now surrounding the stock. What comes next determines whether that confidence was warranted or simply premature.

Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.