Key Highlights
- Snowflake surged ~39% pre-market after Q1 FY2027 Revenue and adjusted EPS beat consensus estimates.
- Product revenue grew 34% year-on-year, the fastest rate in over a year.
- A five-year, $6 billion AWS agreement secures AI compute infrastructure at scale.
- Full-year product revenue guidance raised to $5.84 billion, implying 31% growth.
- At least 25 analysts raised price targets; median moved from $230 to $275.
What Moved the Stock
Snowflake (NYSE: SNOW) shares had shed more than half their value over the prior six quarters, weighed down by slowing cloud growth and scepticism over AI monetisation. One quarter changed the narrative.
The company reported Q1 FY2027 product revenue of $1.334 billion, up 34% year-on-year and ahead of the $1.32 billion consensus. Adjusted Earnings-per-share/">Earnings Per Share came in at $0.39, clearing the $0.32 estimate. Net revenue retention climbed to 126%, and the quarter produced the highest net new customer additions in company history at 616. If pre-market gains hold, Snowflake is set to add over $20 billion to its Market Capitalisation of roughly $60 billion.
The reaction was swift. At least 25 analysts raised price targets, with the median moving from $230 to $275. Peers Datadog and MongoDB rose 5.9% and 10.4% respectively, reflecting a broader re-rating of enterprise data software.
The AWS Deal
Alongside earnings, Amazon confirmed a five-year, $6 billion spending commitment from Snowflake covering cloud services and AI infrastructure, more than doubling the prior contract signed in fiscal 2023. The agreement secures access to AWS Graviton general-purpose chips and cloud GPUs at a time when compute capacity has been a practical bottleneck for enterprise AI deployments.
The deal also includes expanded go-to-market collaboration, deepening Snowflake's commercial integration within the AWS ecosystem. For enterprise customers already running workloads on AWS, the arrangement lowers friction in choosing Snowflake as the governed data layer for AI applications. Morningstar analysts noted it strengthens Snowflake's position against rivals including Databricks and Google BigQuery.
The CoCo Factor
The guidance raise, from 27% to 31% full-year product revenue growth, was larger than the market anticipated and largely attributable to Cortex Code, the company's natural language coding agent that entered general availability in early February. Because Snowflake forecasts from observed consumption behaviour, CoCo had not previously been incorporated into guidance. The first full quarter of data allowed management to layer it into the revised outlook.
CoCo's impact runs on two tracks. It generates direct AI product revenue through usage-based pricing, and it accelerates consumption of the core data platform by reducing the effort required to build pipelines, migrate legacy workloads, and deploy agents. More than 7,100 accounts had adopted the product by quarter-end. Accounts using CoCo were growing faster than the broader customer base. Snowflake Intelligence, the Business-user counterpart, more than doubled its active account base quarter-on-quarter.
Valuation and the Risks
The rally pushes Snowflake's forward price-to-earnings multiple to approximately 85 times estimated next-twelve-month earnings, a steep premium to Salesforce at roughly 13 times and MongoDB at around 47 times. The multiple prices in sustained AI-driven growth and the company's broader agentic enterprise ambitions, which now include the Acquisition of Natoma, an enterprise Model Context Protocol platform designed to connect AI agents with everyday SaaS tools.
Competition from Databricks remains structurally serious. AI products carry lower gross margins than the core platform, though management held full-year non-GAAP product gross Margin guidance at 75%, citing lower bandwidth costs from the AWS contract as an offset.
The pre-market move tells you how much scepticism had built up. Whether the AI tailwind is durable enough to sustain the premium is the question the next several quarters will answer.

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