Snowflake Inc. research snapshot
SNOW AI stock analysis currently sees Snowflake as a consumption-based data and AI platform with improving product-revenue growth, expanding enterprise adoption, and a sizable net-cash position. At the July 10, 2026 data cutoff, SNOW closed at $267.49 on July 9 and its mechanically verified market capitalization was $92.71 billion. The central question is whether AI-led product adoption and the fiscal 2027 growth outlook can convert into durable per-share profitability quickly enough to justify a premium sales and free-cash-flow valuation. This page is an informational research tool, not investment advice.
Current price
$267.49 close on July 9, 2026
Market cap
$92.71 billion
AI score
70 / 100
Rating
Strong data-cloud momentum with demanding valuation and execution risk
Trend status
Strong uptrend above the 50-day and 200-day moving averages, with elevated momentum and volatility
Data cutoff (updated weekly)
July 10, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Snowflake sells consumption-based compute, storage, data transfer, application, and AI capabilities that help enterprises consolidate, share, and use data across cloud environments. | High |
| Moat | Cross-cloud architecture, data sharing, governance, ecosystem integrations, and embedded workloads create switching costs, but the moat is contested by hyperscalers and Databricks. | Medium-high |
| Management | CEO Sridhar Ramaswamy and CFO Brian Robins have raised FY2027 product-revenue guidance after a strong Q1, but AI-product monetization and capital allocation remain early execution tests. | Medium |
| Financial trend | Q1 FY2027 product revenue was $1.334 billion, up 34% year over year, while full-year product-revenue guidance was raised to $5.840 billion, up 31%. | High |
| Valuation | At the cutoff, SNOW had no positive TTM GAAP PE, traded near 18.4x TTM sales and 79.4x TTM free cash flow, and therefore required sustained growth and margin improvement. | High |
| Technical trend | SNOW closed above the cited 50-day and 200-day averages, but RSI near 70.85 and a beta of 1.35 point to a momentum setup that can reverse sharply. | Medium |
| Risk level | High. Usage optimization, large-cloud and Databricks competition, AI-product execution, stock-based compensation, convertibles, and multiple compression can all affect returns. | Medium-high |
| AI confidence | High for historical facts and medium for forecast ranges, technical levels, competitive outcomes, and price behavior. | High data confidence |
| Investment certainty | Medium-low because a high-growth platform can still produce poor returns if consumption, margins, or valuation assumptions disappoint. | Medium-low |
SNOW AI stock forecast
The SNOW AI stock forecast uses a three-year scenario model anchored to the July 9, 2026 close of $267.49. The model annualizes Q1 FY2027 non-GAAP diluted EPS of $0.39 to $1.56 only as a transparent modeling input, not as a GAAP earnings forecast. Its outputs are scenario ranges, not price promises.
$475 to $525
More likely if product revenue stays near the raised 31% FY2027 outlook, AI capabilities drive durable consumption, large-customer expansion continues, margins improve, and investors retain a premium multiple near 130x modeled earnings.
$290 to $320
More likely if product revenue growth moderates but remains healthy, consumption avoids a broad optimization reset, non-GAAP profitability expands, and the market assigns a still-demanding multiple near 100x modeled earnings.
$135 to $150
More likely if customers slow data and AI workloads, competitors bundle comparable capabilities, AI products do not monetize as expected, share dilution persists, or the valuation falls toward 60x modeled earnings.
SNOW AI technical analysis
SNOW AI technical analysis uses the July 9, 2026 close and StockAnalysis indicators available at the July 10 cutoff. This static page does not fetch live chart data. Confirm support, resistance, moving averages, momentum, volume, volatility, and invalidation levels in a live chart before acting.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $267.49 | NYSE closing price on July 9, 2026. |
| Near support | $255 to $260 | A planning zone below the cutoff close. It is not a guaranteed floor and should be checked against live price action. |
| Trend support | About $207 to $208 | StockAnalysis cited a 50-day moving average of $207.75 and a 200-day moving average of $207.34 near the cutoff. |
| Near resistance | $285 | The cited 52-week high was $284.99, so a sustained move above this area with volume would strengthen the breakout case. |
| Moving averages | 50-day $207.75, 200-day $207.34 | Price above both averages supports the trend read, while the small gap between them shows the longer trend had only recently improved. |
| Momentum | RSI 70.85 | The cited RSI was near a commonly watched overbought threshold, which raises pullback risk even when the larger trend is positive. |
| Volume | 20-day average 6.77 million shares | Compare any breakout or breakdown with recent average volume rather than relying on price alone. |
| Volatility | Beta 1.35 | The cited five-year beta was above 1, consistent with wider market-sensitive moves than a lower-beta stock. |
| Invalidation | Close below $207 | A decisive break below both cited long moving averages would weaken the trend-following setup and require a new review. |
SNOW AI trading strategy
The SNOW AI trading strategy is a rules-based research framework, not personalized advice. Use it with position sizing, explicit loss limits, live-chart confirmation, and fresh checks of Snowflake filings, product revenue, RPO, retention, margins, cash flow, dilution, and guidance.
Wait for SNOW to hold above the $255 to $260 planning zone and clear the $285 52-week-high area with volume that exceeds the cited 20-day average, while new results support product-revenue growth and margin progress.
A failed breakout or a decisive close below the $207 moving-average zone should invalidate the trend setup.
If SNOW pulls back without a business-thesis break, compare the price with product-revenue guidance, consumption commentary, RPO, net revenue retention, free cash flow, stock-based compensation, and the diluted-share count.
Do not average down unless maximum loss, position size, and a fundamental invalidation condition are set in advance.
Track AI-capability adoption, product revenue, large-customer growth, RPO, net revenue retention, AWS commitments, non-GAAP operating margin, free cash flow, convertible notes, and share repurchases.
Reduce confidence when the share price rises without matching consumption, retention, cash-flow, margin, or per-share progress.
Investment research summary
Customers pay Snowflake to store, process, govern, share, and apply AI to data across cloud environments. The value proposition is a common data layer that can reduce operational friction and make data products and AI workloads easier to deploy.
Snowflake benefits from cross-cloud deployment, data-sharing workflows, governance, partner integrations, developer tools, and embedded customer workloads. Its moat is real but not unchallenged because cloud platforms and Databricks can compete for the same budgets and data estates.
The thesis can fail if usage optimization returns, AI features increase cost faster than revenue, competitors bundle data and AI services, large customers slow expansion, stock-based compensation dilutes owners, or the multiple compresses before GAAP profitability arrives.
Management raised FY2027 product-revenue guidance after Q1 and is positioning Snowflake as a control plane for enterprise AI. The test is whether new AI products create repeatable consumption and operating leverage instead of a costly feature race.
Enterprise demand for governed data, analytics, applications, and AI agents is a long-term tailwind. The capture of that trend is competitive and uneven because customers can mix native cloud services, open formats, specialized data platforms, and internal tools.
At the July 9 close, Snowflake had a mechanically verified $92.71 billion market capitalization, no positive TTM GAAP PE, about 18.4x TTM sales, and about 79.4x TTM free cash flow. The valuation leaves limited margin for a slowdown in consumption or a delay in profitability.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| SNOW price and market capitalization | $267.49 close and $92.71 billion market capitalization on July 9, 2026 | StockAnalysis market-cap and price data, sourced from S&P Global Market Intelligence; market cap verified as $267.49 x 346.60 million shares | July 10, 2026 |
| Q1 FY2027 results | $1.391 billion revenue, $1.334 billion product revenue, 34% product-revenue growth, $232.8 million free cash flow, and 126% net revenue retention | Snowflake Q1 FY2027 earnings release and SEC Form 8-K exhibit | July 10, 2026 |
| FY2027 product-revenue guidance | $5.840 billion, representing 31% year-over-year growth | Snowflake Q1 FY2027 earnings release | July 10, 2026 |
| FY2026 revenue and GAAP net loss | $4.684 billion revenue and $1.329 billion GAAP net loss, cross-validated against the company annual filing and StockAnalysis | Snowflake FY2026 Form 10-K and StockAnalysis financial statements | July 10, 2026 |
| Cash, investments, and debt | $2.955 billion cash and short-term investments, $1.432 billion long-term investments, and $2.282 billion convertible senior notes at April 30, 2026 | Snowflake Q1 FY2027 earnings release balance sheet | July 10, 2026 |
| Technical indicators and valuation ratios | 50-day average $207.75, 200-day average $207.34, RSI 70.85, 20-day volume 6.77 million, 18.42x sales, and 79.26x free cash flow | StockAnalysis statistics table, sourced from S&P Global Market Intelligence | July 10, 2026 |
This SNOW AI stock analysis is an informational tool only and is not investment advice, a recommendation, or a guarantee of future returns. Forecast ranges are scenario outputs based on available data as of the cutoff date and can be wrong if fundamentals, valuation multiples, technical conditions, competition, regulation, or market liquidity change.
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