SNOW vs GTLB Stock Comparison: AI Score, Valuation, Performance and Upside
SNOW and GTLB are both enterprise software companies but monetise in fundamentally different ways. Snowflake charges for consumption, so its revenue rises and falls with how much data customers actually process, giving it strong upside and genuine optimisation risk. GitLab charges per seat, which is more predictable but tied to developer headcount growth. Usage-based upside against subscription predictability.
Use this SNOW vs GTLB comparison to think about which pricing model suits the current environment. Consumption pricing captured enormous upside during data growth but exposed Snowflake to customer cost optimisation. Seat pricing insulates GitLab from usage swings but caps growth to hiring, and AI coding assistants raise real questions about how developer seats are counted in future.
SNOW holds the edge across 3 of 5 key metrics in this comparison. SNOW has delivered stronger 1-year price return (+50.94% vs -0.82%), though GTLB has the better forward P/E setup (48.53x vs 113.08x for SNOW). On fundamentals, SNOW is growing revenue faster (33.50%), while GTLB maintains the higher operating margin (-5.96%) — a classic growth-versus-profitability split. Analyst consensus implies similar upside for both: +8.44% for SNOW and +8.10% for GTLB.
Human Wall Street analysts' price targets, typically implying a ~12-month view — a separate signal from this site's own AI Prediction Signal further down the page, which is a 5-/30-day machine-learning forecast based on price history alone.
- Want consumption-based exposure to enterprise data and AI workloads
- Value cross-cloud neutrality and data sharing as differentiators
- Believe data volumes will keep compounding faster than optimisation efforts
- Accept revenue volatility from customer cost optimisation and a premium valuation
- Prefer predictable seat-based subscription revenue
- Value an integrated development platform over separate point tools
- See self-managed deployment as an advantage in regulated industries
- Accept competition from GitHub and dependence on developer hiring
| Metric | SNOW | GTLB |
|---|---|---|
| AI scorei | 36.8 | 23.5 |
| AI ranki | #1463 | #3554 |
| Latest closei | $335.94 | $46.85 |
| 1M returni | +6.52% | +13.40% |
| 6M returni | +119.86% | +130.20% |
| 1Y returni | +50.94% | -0.82% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | SNOW | GTLB |
|---|---|---|
| 1Y ago | $15.16K (+51.6%) started 2025-09-25 | $10.03K (+0.3%) started 2025-09-25 |
| 5Y ago | $10.79K (+7.9%) started 2021-09-27 | $4.51K (-54.9%) started 2021-10-14 |
| 10Y ago | $13.23K (+32.3%) started 2020-09-16 | $4.51K (-54.9%) started 2021-10-14 |
Hypothetical — past performance does not guarantee future results.
| Metric | SNOW | GTLB |
|---|---|---|
| Market capi | $106B | $8.37B |
| Trailing P/Ei | N/A | N/A |
| Forward P/Ei | 113.08 | 48.53 |
| Price/Salesi | N/A | N/A |
| EV/Revenuei | 21.99 | 6.27 |
| Analyst targeti | $331.66 | $53.57 |
| Target upsidei | +8.44% | +8.10% |
| Metric | SNOW | GTLB |
|---|---|---|
| Revenue growthi | 33.50% | 23.10% |
| Earnings growthi | N/A | N/A |
| EPS growthi | N/A | N/A |
| FCF margini | +34.56% | +31.14% |
| Operating margini | -22.17% | -5.96% |
| Profit margini | -23.79% | -2.49% |
| ROIC proxyi | -54.87% | -2.96% |
| Return on equityi | -54.87% | -2.96% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 1.31 | 0.94 |
| Debt/equityi | 142.91 | N/A |
| Current ratioi | 1.05 | 2.55 |
| Quick ratioi | 0.94 | 2.43 |
Over the past year, SNOW and GTLB have moved moderately in the same direction (correlation of 0.44), based on daily returns.
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | SNOW | GTLB |
|---|---|---|---|
| 1Y | Growthi | +51.60% | +0.27% |
| CAGRi | +51.69% | +0.27% | |
| Volatilityi | 65.03% | 60.03% | |
| Sharpe ratioi | 0.88 | 0.23 | |
| Sortino ratioi | 1.56 | 0.34 | |
| Max drawdowni | 56.30% | 61.95% | |
| Current drawdowni | 5.76% | 8.22% | |
| Avg drawdowni | 19.59% | 31.29% | |
| Ulcer Indexi | 25.91% | 36.43% | |
| Max daily dropi | 11.83% | 12.77% | |
| Max wkly dropi | 23.48% | 18.68% | |
| 5Y | Growthi | +7.95% | -54.91% |
| CAGRi | +1.54% | -14.87% | |
| Volatilityi | 62.40% | 73.48% | |
| Sharpe ratioi | 0.26 | 0.08 | |
| Sortino ratioi | 0.39 | 0.12 | |
| Max drawdowni | 72.99% | 85.16% | |
| Current drawdowni | 16.41% | 64.21% | |
| Avg drawdowni | 52.01% | 61.60% | |
| Ulcer Indexi | 54.54% | 62.96% | |
| Max daily dropi | 18.14% | 23.86% | |
| Max wkly dropi | 28.56% | 36.24% | |
| 10Y | Growthi | +32.30% | -54.91% |
| CAGRi | +4.76% | -14.87% | |
| Volatilityi | 62.09% | 73.48% | |
| Sharpe ratioi | 0.31 | 0.08 | |
| Sortino ratioi | 0.47 | 0.12 | |
| Max drawdowni | 72.99% | 85.16% | |
| Current drawdowni | 16.41% | 64.21% | |
| Avg drawdowni | 47.93% | 61.60% | |
| Ulcer Indexi | 51.19% | 62.96% | |
| Max daily dropi | 18.14% | 23.86% | |
| Max wkly dropi | 28.56% | 36.24% |
| Category | SNOW | GTLB |
|---|---|---|
| Company | Snowflake Inc. | GitLab Inc. |
| Sector | Technology | Technology |
| Industry | Software - Application | Software - Infrastructure |
| Core business | Cloud data platform for storing, querying, sharing, and analysing data across cloud providers, with growing AI and machine learning features. Revenue is consumption-based, billed on compute and storage actually used rather than per user. | Provider of a single application spanning the software development lifecycle, covering source control, continuous integration and delivery, security scanning, and project planning, with AI assistance features. Revenue is primarily seat-based subscription. |
| Investor focus | Product revenue growth, net revenue retention, consumption trends at large customers, AI feature adoption, and free cash flow margin. | Seat growth and tier upgrades, net retention, AI feature monetisation, competition from GitHub, and margin improvement. |
- Consumption pricing means revenue grows automatically as customers process more data
- Cross-cloud neutrality and data sharing capabilities are genuine differentiators
- Data gravity makes migration away costly once large volumes are stored and integrated
- Integrated single application reduces the tool sprawl development teams otherwise manage
- Seat-based subscriptions are more predictable than consumption revenue
- Self-managed deployment option appeals to regulated industries and customers with data residency requirements
- Consumption revenue falls when customers optimise workloads to reduce spending
- Competes against the cloud providers' own data warehouses and against open table formats
- Premium valuation relative to its current growth rate
- Competes against GitHub, backed by Microsoft and bundled with other developer tooling
- Seat-based growth is limited by developer headcount, which slows when technology hiring slows
- AI coding tools may change how development tooling is bought and valued
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