Snowflake Surges 35% on Q1 Beat, Lifts FY27 to $5.84B

Snowflake (NYSE: SNOW) jumped roughly 35% in pre-market trading on May 28, 2026, after the data-cloud company reported a sharp Q1 beat and meaningfully raised its full-year outlook. Product revenue grew 34% year-over-year to $1.334 billion — well above the $1.262–$1.267 billion the company had guided in February — and remaining performance obligations (RPO), the closest thing to a forward bookings number, climbed 38% to $9.21 billion (Snowflake Q1 FY27 release).

For a software stock whose narrative had been “good business, lumpy AI monetization,” this was the cleanest set of numbers in over a year. CEO Sridhar Ramaswamy framed Q1 as “a clear inflection point” for enterprise AI adoption on the platform — and the company backed it up with a fresh $6 billion multi-year AWS commitment that puts hard dollars behind the story.

The Quarter, Versus the Guide

The bar for Snowflake going into Q1 FY27 was set by the company itself three months earlier. The print cleared it on every metric that matters and reset the expectation for the rest of the year.

Metric Q1 FY27 actual Q1 FY27 guide YoY
Product revenue $1,334M $1,262–$1,267M +34%
Total revenue $1,390M n/a +33%
RPO $9.21B n/a +38%
Net revenue retention 126% n/a + vs Q4
Non-GAAP product gross margin 75.1% n/a stable
Non-GAAP operating margin 11.9% n/a +
Non-GAAP diluted EPS $0.39 n/a +
Adjusted free cash flow $265.5M n/a 19.1% margin
Customers > $1M trailing product rev 779 n/a +29%
Forbes Global 2000 customers 813 n/a +13 in Q1
Source: Snowflake Q1 FY27 press release (May 27, 2026); Q1 FY27 guidance from the Q4 FY26 release.

The cleanest beat is product revenue $1.334B versus a $1.262–$1.267B guide — roughly $70M above the high end on a quarter that was meant to grow 27%. Snowflake instead grew 34%. That seven-point delta is exactly the kind of acceleration that re-prices a high-multiple software stock in a single session.

RPO and NRR: The Forward Look Is Stronger

Two metrics matter most for forecasting Snowflake: RPO (contracted revenue not yet recognized) and net revenue retention (NRR — how much existing customers spend this year versus a year ago, including churn and downgrades).

  • RPO of $9.21B (+38% YoY) is now growing faster than reported revenue (+33%). That is the leading indicator analysts look for: when bookings outpace revenue, future revenue accelerates.
  • NRR of 126% ticked up sequentially. For context, NRR was 122% in Q1 FY26 a year ago. It had been trending down for most of FY25 before stabilizing — a sequential uptick this late in the cycle is the kind of detail that swings sell-side models.
  • 779 customers spending more than $1M of trailing product revenue grew 29% year-over-year; 46 customers crossed the threshold in Q1 alone.

The AI Story Got Real

Snowflake’s bull case has always been “data → AI is the same workload, and we sit on the data.” Q1 was the first quarter where management put unambiguous adoption numbers behind that thesis:

  • More than 13,600 accounts are now using Snowflake’s AI capabilities — effectively the entire customer base of ~13,900.
  • Snowflake Intelligence accounts more than doubled quarter-over-quarter.
  • Cortex Code, the SQL-coding copilot, is in use across more than 7,100 accounts.
  • The company announced the acquisition of Natoma, a Model Context Protocol (MCP) platform, to plug AI agents into enterprise data systems.
  • A new $6 billion multi-year strategic agreement with AWS aimed at expanding enterprise AI adoption was disclosed alongside the print.

None of these on their own is the story. The combination — near-universal AI feature adoption, doubling sequential Intelligence accounts, and a hyperscaler willing to lock in $6B of capacity — is what reframed the print from “good quarter” to “narrative pivot.”

Guidance: Raise on Revenue, Bigger Raise on Margins

Snowflake raised the FY2027 full-year product-revenue outlook to $5.84 billion (31% YoY growth) from the $5.66B (27% growth) it provided in February. More importantly, the full-year non-GAAP operating-margin target was lifted to 13.5%, well above the 9.0% the company guided to at Q4 FY26.

Snowflake FY2027 Product Revenue Guide: Before vs After Q1 Bar chart comparing Snowflake’s FY2027 product revenue guidance issued at Q4 FY26 and Q1 FY27. FY2027 Product Revenue Guide ($B) $0.0 $1.5 $3.0 $4.5 $6.0 $5.66B Q4 FY26 guide (+27% YoY) $5.84B Q1 FY27 guide (+31% YoY) +$180M at midpoint
Source: Snowflake Q4 FY26 and Q1 FY27 earnings releases (investor relations).

For Q2 FY27, Snowflake guided product revenue of $1.415–$1.420 billion (30% YoY growth) with non-GAAP operating margin of 12.5%. That implies a sequential step-up of roughly $85M in product revenue — consistent with the RPO trajectory.

Margins and Cash Generation

The under-appreciated half of the print was profitability. Non-GAAP operating margin came in at 11.9%, well above the implied trajectory from prior guidance. Adjusted free cash flow was $265.5M, or 19.1% of revenue, even as the company maintained an aggressive AI hiring and infrastructure build-out.

Snowflake remains GAAP unprofitable — the GAAP operating loss was $(326)M, or (23.4)% of revenue — driven mostly by stock-based compensation. That gap between GAAP and non-GAAP is the perennial debate on Snowflake: bears argue dilution makes the non-GAAP cash flow less valuable than it looks; bulls argue SBC normalizes as revenue scales and the dollar cash flow is what matters. Q1 added one data point to the bull side — non-GAAP operating margin of 11.9% on 34% revenue growth is the kind of leverage you want to see from a scaling software company.

What to Watch From Here

Three things will determine whether Q1 was a one-quarter pop or the start of a re-rating:

  • NRR trajectory. A second sequential uptick in Q2 confirms the AI workloads are landing and expanding. A reversion below 125% would suggest Q1 was a comp effect, not a structural shift.
  • RPO growth versus revenue growth. RPO growing faster than revenue is the leading indicator that worked at Snowflake’s pre-2023 inflection. A persistent spread keeps the FY28 setup intact.
  • The Natoma / MCP angle. Snowflake is positioning itself as the data layer for AI agents. Adoption of Cortex Agents and the MCP integrations through year-end will determine whether Snowflake is a participant or the platform in agentic enterprise AI.

Sources

Disclosure: This article was produced with AI assistance and reviewed before publication. It is for informational purposes only and is not investment advice.

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