Snowflake Stock Jumps 37% on Q1 FY27 Earnings — $1.39B Revenue, a $6B AWS Deal, and an Agentic Enterprise Inflection

Snowflake's Q1 FY27 Report Just Made the Cleanest Agentic-Enterprise Pitch of Earnings Season

Snowflake reported first-quarter fiscal 2027 earnings after the close on May 27, 2026, and the results landed with the kind of force that moves markets. Product revenue came in at $1.33 billion — 34% year-over-year growth — and total revenue reached $1.39 billion, comfortably ahead of the $1.32 billion analyst consensus. Remaining performance obligations grew 38% year-over-year to $9.21 billion. The customer count with trailing-12-month product revenue over $1 million reached 779, up 29% year-over-year. Snowflake stock soared roughly 37-38% in the after-hours and follow-on session as investors absorbed the strong quarter, the raised full-year guidance, and a freshly announced $6 billion expansion deal with Amazon Web Services focused on enterprise AI infrastructure.

For data-platform investors, enterprise IT buyers, and the broader cloud and AI infrastructure ecosystem, the Snowflake Q1 FY27 report is one of the strongest single-quarter pieces of evidence yet that the agentic-enterprise narrative is translating into real revenue and real customer commitments. CEO Sridhar Ramaswamy framed the quarter as a clear "inflection point" for the platform, with Snowflake's Cortex Code and Snowflake Intelligence offerings extending Snowflake from "the trusted foundation for enterprise data" into "the control plane for the Agentic Enterprise."

The $1.39 Billion Top Line and the 34% Growth Rate

Hitting $1.39 billion in total revenue and posting 33% total revenue growth (34% on product) puts Snowflake back in the company of the fastest-growing enterprise software businesses of the year. The growth rate is acceleration territory — the kind of number that pulls investor attention back to a name that had drifted to the edges of the cloud-data conversation during the broader SaaS reset of recent quarters. For a company at Snowflake's revenue scale, sustaining a 30%+ growth rate is the structural achievement that justifies the multiple expansion the stock posted after the print.

Customer Quality Is the Underrated Number

The 779 customers with trailing-12-month product revenue above $1 million — up 29% year-over-year — is the metric that tells the more durable story. Large-customer growth is the part of the cloud-data business model that compounds. Each $1M+ customer represents a deep, multi-year platform commitment that is hard to displace once it is in place, and the 29% growth in that cohort means Snowflake is winning the kind of expansion deals that lock in long-term revenue. Remaining performance obligations climbing 38% to $9.21 billion is the corroborating data point — the contracted-but-not-yet-recognized revenue base is growing faster than the recognized revenue itself.

The $6 Billion AWS Expansion Is the Headline Deal

Alongside the earnings print, Snowflake announced a $6 billion expansion of its existing partnership with Amazon Web Services focused on accelerating enterprise AI adoption. The deal dramatically increases Snowflake's use of Amazon's Graviton processors and the cloud-based GPU infrastructure that underpins large-scale AI training and inference. The structural pitch is that Snowflake is doubling down on AWS as the compute backbone for the Cortex and Snowflake Intelligence agentic capabilities it has been rolling out through 2026.

Why the AWS Deal Matters Beyond the Headline Number

The $6 billion commitment is consequential in itself, but the operational story behind it matters more. Cortex Code and Snowflake Intelligence are the two products Snowflake has been positioning as the core of its agentic-enterprise strategy — Cortex for code-aware data interactions, Intelligence for natural-language analytics over enterprise data. Both products are compute-intensive in ways that benefit directly from the upgraded GPU and AI-accelerated infrastructure the AWS partnership delivers. The deal is the part of the announcement that signals Snowflake has the compute commitments to scale those products into the kind of enterprise deployments customers are asking for.

Gross Margin Expansion Despite the AI Buildout

Gross margins expanded to 66.6% in the quarter, even as Snowflake rolled out new AI products and integrated recent acquisitions — both of which typically pressure near-term margins. Management reiterated a 75% gross margin target for the full year, which represents real operational discipline given the gross-margin overhead of running AI inference at the scale Cortex and Snowflake Intelligence require. For investors watching whether the cloud-data category can deliver durable profitability while investing aggressively in AI, the margin trajectory is the part of the print that resonates.

The Profitable Growth Story Is the Investor Pitch

The combination of 34% product revenue growth, expanding gross margins, and disciplined operating expense management is exactly the profitable-growth profile that scarce in the broader enterprise SaaS landscape right now. Many high-growth data and AI companies are deferring profitability indefinitely in favor of growth. Snowflake's pitch is that the growth and the margin expansion are not in tension — they are compounding together. The 37%+ after-hours stock move suggests investors found that pitch credible.

Cortex Code and Snowflake Intelligence — The Agentic Enterprise Surface

The strategic narrative tying the quarter together is that Snowflake is no longer "just" a data platform — it is becoming the control plane for what Sridhar Ramaswamy is calling the Agentic Enterprise. Cortex Code lets developers build AI-aware applications directly against Snowflake-stored data with the same governance, lineage, and security guarantees that the underlying platform provides. Snowflake Intelligence brings natural-language analytics into the workflow, letting non-technical users ask questions and get answers grounded in the enterprise's own data without writing SQL.

Why the Control Plane Positioning Is the Right Story

The strategic positioning Ramaswamy is articulating — Snowflake as the control plane for the Agentic Enterprise — matters because it positions Snowflake as the canonical surface where AI agents interact with the enterprise's data, governance policies, and operational systems. For an AI agent to be useful in an enterprise context, it needs to access the right data, respect the right policies, and produce results that can be audited. Snowflake's existing data-governance, data-lineage, and security architecture is exactly the layer that gives AI agents a credible operating environment. Cortex Code and Snowflake Intelligence are the products that turn that architectural advantage into a customer-facing capability.

How the Quarter Lands in the Broader 2026 Cloud-Data Landscape

The Snowflake Q1 FY27 print arrives at a moment when the cloud-data category has been the subject of intense investor scrutiny. Databricks has been competing aggressively on the same enterprise data and AI ground. The hyperscaler-native data services from AWS, Azure, and Google Cloud have been gaining capabilities. Specialized vector database providers have been expanding their footprints. Snowflake's response — accelerating product velocity around Cortex, deepening the AWS partnership for the AI compute backbone, and expanding the customer base into the $1M+ cohort at 29% year-over-year — is the configuration that keeps Snowflake squarely in the leadership conversation.

The NVIDIA Echo From Last Week

The Snowflake quarter follows the strong NVIDIA Q1 FY27 print from a week earlier, which similarly highlighted "parabolic" agentic AI demand. Two of the most-watched names in the AI infrastructure category posting big-print quarters within a week of each other reinforces the broader thesis that enterprise AI demand is translating into structural commercial momentum. For investors building their AI infrastructure positioning, the back-to-back data points are the part of the cycle that frames the rest of 2026.

The Setup Going Forward

For Snowflake investors, enterprise IT buyers, and the broader cloud-data and agentic-AI ecosystem, the Q1 FY27 report on May 27 is the strongest single quarter the company has posted in some time. The $1.39 billion top line and 34% product revenue growth restore Snowflake to the top tier of fast-growing enterprise software businesses. The $6 billion AWS partnership commits the compute backbone for the agentic-enterprise vision. The 66.6% gross margin and the 75% full-year target line up the profitable-growth narrative investors have been asking for. The 779 customers with trailing-12-month product revenue above $1 million confirm that the large-customer base is expanding. The Cortex Code and Snowflake Intelligence positioning frames the control-plane story for the Agentic Enterprise. The next watch items are the customer-by-customer rollout of Cortex Code in Q2, the operational metrics from Snowflake Intelligence adoption, the guided revenue trajectory for the back half of fiscal 2027, and the broader competitive response from Databricks and the hyperscalers. For investors evaluating which enterprise data and AI names to anchor a 2026 portfolio on, Snowflake just made the strongest pitch of earnings season.

Sources: Snowflake Q1 FY27 earnings press release, May 27, 2026; FX Leaders, "SNOW Surges 38% After Earnings Blowout as $6B AWS AI Deal Reignites Growth Narrative," May 28, 2026; 24/7 Wall St., "Snowflake Explodes 37% on $6 Billion Amazon Deal as CEO Calls Q1 an AI 'Inflection Point,'" May 28, 2026; Sridhar Ramaswamy earnings remarks, May 27, 2026.