SNOW
resolvedSnowflake Inc.
Price Chart
Gap Information
Score Analysis
Model 1: Rerate Score
Model 2: Trade Probability
Model 3: Tail Probability (Runner)
AI Thesis
Snowflake's 23% gap-up is the market repricing a consumption-model inflection, not just rewarding a 12.5% EPS beat. In a usage-based business like Snowflake's, incremental AI workloads (Cortex AI, Snowpark, Iceberg-backed data engineering) land on infrastructure that's already built and paid for, so when consumption growth reaccelerates, revenue upside converts at very high incremental margins — which is why a modest top-line beat can produce a disproportionate EPS beat. Wall Street had largely framed SNOW as a 'decelerating mid-20s% grower at a triple-digit multiple'; a quarter showing reacceleration plus margin expansion breaks that narrative and forces analysts to re-anchor the multiple on a revised multi-year earnings path.
Analyzed by rerate-v2+glm-5.2 · Sep 3, 2026
Catalysts
- Product revenue beat-and-raise with reaccelerating YoY growth, driven by AI consumption (Cortex AI, Snowpark, data engineering workloads)
- RPO (remaining performance obligations) acceleration signaling durable multi-quarter backlog visibility
- Non-GAAP operating margin and adjusted FCF margin guidance raised — evidence the Sridhar Ramaswamy cost-discipline era is delivering operating leverage
- Expanded share repurchase authorization (~$4B+ cumulative) plus rising adjusted FCF (margins trending toward the high-20s%) creating a capital-return floor that did not exist two years ago
- Net revenue retention stabilization/recovery above ~127-128% and continued growth in $1M+ ARR customers, easing the 'optimization is killing consumption' bear case
- Agentic AI narrative — Snowflake positioned as the neutral, multi-cloud data layer for enterprise AI agents and LLM workloads, a genuine strategic repositioning vs. 'just a data warehouse'
- Large-cap growth and AI-infrastructure fund flows chasing scarce liquid pure-play data/AI platform exposure
Risks
- Extreme valuation: at ~$370 the stock trades at roughly 130-150x forward non-GAAP EPS with a PEG above 5 — zero tolerance for a guidance miss next quarter
- Weak volume confirmation: a 23% gap on 0.96x average volume is thin participation, historically prone to partial gap-fill (toward $330-340, the 10-day EMA, or the $305 prior close) absent immediate follow-through
- Technically extended ~70% above the 200-day SMA ($218.59); mean-reversion risk into any market-wide risk-off event
- Consumption-model revenue is inherently lumpy and hard to forecast; customer workload optimization headwinds can recur and cut both ways
- Intensifying competition from Databricks, Microsoft Fabric, and Google BigQuery, plus Apache Iceberg open-table adoption reducing proprietary storage lock-in over time
- Heavy stock-based compensation (~40% of revenue) keeps GAAP profitability elusive and share count creeping up despite buybacks
- Leadership-transition execution risk (CEO change in 2024, CFO turnover) — the new team has limited track record of sustained beats at scale
Technical Setup
Forward Returns
Outcomes calculated Sep 18, 2026
Post-Gap Validation — 5-Day Follow-Through
Day-by-Day Price Action
| Day | Close | High | Low | Volume |
|---|---|---|---|---|
| 📍 Day 1 | $337.18 | $356.83 | $337.11 | 8.45M |
| Day 2 | $335.50 | $341.14 | $331.77 | 5.28M |
| Day 3 | $331.48 | $339.59 | $331.00 | 4.32M |
| Day 4 | $329.72 | $341.45 | $325.01 | 3.43M |
| Day 5 | $328.99 | $333.48 | $323.42 | 4.49M |
Signal Breakdown
Gap partially filled (64%) — ambiguous
Moderate volume decline (47%)
Lower highs with peak close on day 1 — price action suggests distribution, not accumulation
Drew down 12.7% from gap close — significant give-back
No fundamental data to evaluate beat quality
Analysis updated Sep 18, 2026