Snowflake (SNOW) Q2 2027 earnings review
Accelerating Growth Powered by the AI Flywheel
Snowflake delivered a blowout quarter, marking its third consecutive period of product revenue growth acceleration. Product revenue surged 37% YoY to $1.49 billion, comprehensively beating expectations. The adoption of AI tools like Cortex Code (CoCo) is acting as a massive accelerant, not only creating new revenue streams but actively driving consumption of the core data platform. Management translated this momentum into a major guidance raise, lifting the FY27 product revenue growth target from 31% to 36% and non-GAAP operating margin to 14.5%. However, the transition to AI computing is structurally pressuring gross margins, forcing a downward revision in the full-year product gross margin target.
🐂 Bull Case
Unlike peers still in the 'testing' phase, Snowflake's AI products are widely deployed. CoCo has surpassed 9,100 accounts (up from 7,100 in Q1), directly accelerating core data platform usage.
Non-GAAP operating margin expanded significantly to 15.3%. Management is successfully leveraging their own AI tools to boost internal developer and sales productivity, enabling scale without bloated hiring.
🐻 Bear Case
AI compute is expensive. The structural shift toward AI workloads is dragging down the non-GAAP product gross margin, forcing management to lower the FY27 guidance to 74.0%.
Despite stellar non-GAAP metrics, GAAP operating loss sits at a massive $263 million for the quarter, largely driven by $423 million in stock-based compensation. Real profitability is still elusive.
⚖️ Verdict: 🟢
Bullish. Accelerating revenue growth at a $6B+ run rate is incredibly rare. The AI flywheel is functioning exactly as management envisioned, outweighing the near-term gross margin headwinds.
Key Themes
The AI Flywheel effect in Full Swing
AI is no longer just a narrative for Snowflake; it is the primary catalyst for core business acceleration. Cortex Code (CoCo) surpassed 9,100 accounts, adding 2,000 in Q2 alone. CoWork expanded to 5,800 accounts. As customers build AI agents, they are forced to unify and govern more data on the core Snowflake platform, directly driving up compute and storage consumption. This dynamic was explicitly cited as the driver behind the massive FY27 product revenue guidance raise.
Upmarket Enterprise Momentum
Snowflake's land-and-expand motion within the largest enterprises continues to be highly effective. The company added 692 net new customers (+32% YoY). Crucially, the number of customers generating >$1 million in trailing 12-month product revenue grew 27% YoY to 828. They also added 14 new Forbes Global 2000 customers, bringing the total to 829. This enterprise penetration secures durable, long-term consumption.
Disciplined Operating Leverage
Snowflake is aggressively 'dogfooding' its own AI products, leading to significant internal efficiency gains. This operational discipline resulted in non-GAAP operating margins expanding to 15.3% in Q2. Management raised full-year non-GAAP operating margin guidance to 14.5% (up from 13.5%), proving that the company can accelerate top-line growth while simultaneously scaling the bottom line.
AI Headwinds on Gross Margin
The compute-intensive nature of AI workloads is taking a toll on Snowflake's world-class gross margin profile. Non-GAAP product gross margin came in at 74.7% for the quarter. More concerningly, management quietly lowered the FY27 full-year non-GAAP product gross margin guidance to 74.0% (from 75.0% previously). This indicates that as AI products become a larger portion of the revenue mix, structurally lower margins will persist unless offset by cloud infrastructure discounts.
Stock-Based Compensation Restricting Real Profitability
While non-GAAP metrics look spectacular, GAAP realities are sobering. Snowflake reported a GAAP operating loss of $263 million for Q2. A massive driver of this gap is stock-based compensation, which totaled $423.6 million in the quarter alone (net of capitalization). For investors evaluating real cash earnings versus share dilution, the persistent gap between GAAP and non-GAAP metrics remains a glaring red flag.
Other KPIs
Accelerating. RPO grew 30% YoY, signaling extremely strong future revenue visibility and confirming that the acceleration in current consumption is backed by massive, long-term contractual commitments from enterprises.
Stable. NRR held completely steady sequentially from 126% in Q1. Maintaining this high rate at a massive scale proves that the 'land and expand' model is successfully driving existing customers to continuously increase their platform usage.
Stable. The 6.0% margin matches historical Q2 seasonality. Full-year FY27 guidance of 23.0% was maintained, showing that despite higher AI investments, cash generation remains healthy on an annualized basis.
Guidance
Accelerating. The midpoint represents 37.5% YoY growth, effectively maintaining or slightly increasing the blistering 37% pace achieved in Q2. This shatters any expectations of a near-term growth slowdown.
Accelerating. Management raised the full-year target from $5.84 billion (31% YoY) to $6.07 billion (36% YoY). This is a massive $230 million upward revision, explicitly driven by the newly observed consumption patterns of CoCo and core data workflows.
Accelerating. Raised from previous guidance of 13.5%. The fact that Snowflake can raise its operating margin guidance alongside a massive revenue beat proves that their internal efficiency strategies (utilizing their own AI) are generating real operational leverage.
Decelerating. This is a quiet but critical downward revision. Previously guided to 75.0%, the drop to 74.0% highlights the heavier infrastructure costs associated with hosting and serving high-compute AI models.
Key Questions
Gross Margin Trajectory
With the FY27 product gross margin guidance lowered to 74.0%, how much further structural compression should we expect as Cortex and CoCo adoption scales? Do you have line-of-sight to optimizing these AI compute costs back to the 75%+ level?
Cost Governance for Customers
As AI consumption accelerates rapidly, what specific cost-control or capping features are you rolling out to ensure customers do not experience 'sticker shock' and subsequently throttle their usage?
Path to GAAP Profitability
Stock-based compensation remains over $400 million per quarter. What is the explicit timeline and strategy for normalizing SBC as a percentage of revenue to achieve true GAAP operating profitability?