Analyst targets ahead of Wednesday’s report:

• UBS – Buy, $425
• Citi – Buy, $395 (raised from $320 on Aug. 26)
• Truist – Buy, $375 (raised from $300)
• TD Cowen – Buy, $370 (raised from $300)
• Benchmark – Buy, $360 (raised from $290 on Aug. 25)
• Baird – Outperform, $350 (raised from $280)
• Deutsche Bank – Buy, $350 (raised from $300)
• Barclays – Equal Weight, $332 (raised from $285 on Aug. 27)

The Frame That Matters

Snowflake reports Q2 FY2027 results after the close on September 2. The Street’s EPS target of $0.45 will land on every screen in seconds. Spend less time on it. The number that determines whether SNOW holds its post-Q1 gains or revisits the gap it left behind in the spring is net revenue retention: specifically, whether it stays at or above 126%, the level it reached in Q1, or starts to soften as Google’s BigQuery sharpens its low-cost enterprise AI pricing and Databricks continues its push into the governed data layer.

Snowflake’s consumption model means revenue follows workload behavior, not contract renewals. That makes NRR the most honest signal of whether the AI cycle is pulling real spend through the platform.

Company Profile

Snowflake operates a consumption-based cloud data platform serving more than 13,900 customers, including a large share of the Forbes Global 2000. Revenue is recognized as customers actually use compute, storage, and AI features, not on a fixed subscription schedule. That structure creates a direct link between enterprise AI adoption and Snowflake’s reported product revenue, which is the metric management guides to and the one analysts weight most heavily.

The platform has expanded materially over the past year. The February 2026 acquisition of Observe added AI-powered observability, and the May 2026 agreement to acquire Natoma brought enterprise model-context-protocol capabilities. In July, Snowflake launched Cortex AI Gateway, giving administrators centralized visibility into token usage and spending limits across AI agents and workloads, a direct response to enterprise concern about runaway AI costs.

The Numbers Entering Q2

Q1 FY2027 established a high bar. Product revenue came in at $1.33 billion, up 34% year over year, the strongest sequential dollar growth in the company’s history. NRR reached 126%, up one point from the prior quarter’s 125% plateau that had held for several periods. Remaining performance obligations grew 38% year over year to $9.21 billion, indicating committed future revenue that the market had begun to doubt. Management raised full-year product revenue guidance to $5.84 billion, representing 31% year-over-year growth, and set Q2 guidance at $1.415 billion to $1.420 billion. The Street is currently modeling roughly $1.47 billion for Q2, which implies Snowflake needs to beat its own guidance by approximately $50 million to satisfy consensus, consistent with its recent pattern of conservative guidance and modest beats.

• Q2 FY2027 consensus EPS: $0.45
• Q2 revenue consensus: ~$1.47 billion
• Company’s own Q2 product revenue guidance: $1.415-$1.420 billion
• Q1 NRR: 126%
• Q1 customers with trailing 12-month product revenue above $1 million: 779 (up 29% YoY)
• Non-GAAP operating margin guidance for FY2027: raised to 13.5%

Why Product Revenue and NRR Are the Only Lines That Matter

Snowflake’s AI product suite – Cortex Code (now internally called CoCo) and Snowflake Intelligence (CoWork) – entered Q1 with CoCo active across more than 7,100 accounts and CoWork accounts more than doubling quarter over quarter. CEO Sridhar Ramaswamy described the dynamic plainly on the Q1 call: AI is accelerating consumption in the core platform as customers migrate workloads faster to access governed data at scale. If that statement holds in Q2, product revenue should come in at the high end of guidance or above, and NRR should at minimum hold at 126%.

The risk is pricing compression from outside. BigQuery competes on serverless pricing, and Google has been aggressive in enterprise AI cost positioning. Any evidence that Snowflake’s workload economics are being squeezed, lower consumption per existing account, would show up in NRR before it shows in headline revenue.

Macro and Competitive Context

Enterprise AI spending has not collapsed, but it has bifurcated. Large accounts with clear use cases are consuming more; mid-market accounts are still in pilot mode. For Snowflake, which derives an outsized share of product revenue from customers spending more than $1 million annually, the large-enterprise cohort is the swing factor. The $6 billion multi-year AWS agreement announced alongside Q1 results backstops infrastructure economics, but it does not insulate Snowflake from workload-level pricing competition from Google Cloud or Microsoft Fabric.

Bull / Base / Bear

Bull: Product revenue prints above $1.47 billion. NRR holds at 126% or ticks higher. CoWork and CoCo commentary points to enterprise deployments moving from pilot to production at scale. Full-year guidance gets a second consecutive raise. SNOW tests its 52-week high near $342.

Base: Product revenue comes in near $1.44-$1.46 billion, a clean beat of company guidance, roughly in line with consensus. NRR holds at 126%. Management reiterates the $5.84 billion full-year target without raising. Stock trades sideways to modestly higher. This is the most probable outcome given the Q1 guidance beat pattern.

Bear: Product revenue misses the $1.415 billion floor of company guidance or NRR drops back to 125%. Any language suggesting enterprise AI workloads are being optimized rather than scaled would pressure shares back toward the post-Q1 gap zone in the $250-$270 range. Google pricing references on the call would be a specific catalyst to watch.

Technical Overlay

SNOW traded at approximately $329 as of August 28, sitting near its 20-day moving average of roughly $321 and well above its 50-day average near $283. The 52-week range is $118.30 to $341.95, and the all-time post-Q1 surge high sits just below $342. RSI has pulled back to the mid-40s from overbought levels in late June, a reset that leaves room for a move on a clean beat. Key support on a miss is $295, the next significant level below current price. A break there reopens the April gap from the $175-$190 zone, which the stock left behind when Q1 results triggered the 37% surge.

What to Watch on Wednesday

• NRR: 126% or above confirms AI consumption is pulling real expansion spend. A drop to 125% raises questions about whether Q1 was a one-quarter event.
• Product revenue versus guidance midpoint: A beat of $30 million or more has been the pattern. Less than $20 million would disappoint.
• CoWork and CoCo account commentary: Management needs to show pilot-to-production movement, not just adoption count growth.
• Gross margin on AI workloads: Higher AI usage raises compute costs. Watch whether non-GAAP product gross margin holds near the guided 75%.
• Full-year guidance revision: A second raise to the $5.84 billion product revenue target would signal genuine acceleration, not a one-quarter pull-forward.

Bottom Line

The question entering Wednesday is not whether Snowflake will beat the $0.45 EPS estimate. That number reflects non-GAAP adjustments and has limited bearing on valuation at a stock trading above 20 times forward sales. The real question is whether the 126% NRR from Q1 was the beginning of a re-acceleration or a single data point. If consumption growth is genuine and Cortex AI Gateway is managing the cost side of enterprise AI deployments, Snowflake’s consumption model becomes a structural advantage rather than a liability. If NRR softens and product revenue disappoints, the stock has 20% of downside before it finds its next technical floor.