VEEV vs SNOW Stock Comparison: AI Score, Valuation, Performance and Upside
Veeva Systems and Snowflake both provide enterprise cloud software, but Veeva is a deeply specialized vertical software company serving only the life sciences industry with high switching costs and strong profitability, while Snowflake is a horizontal data platform company serving customers across all industries with a consumption-based revenue model and a much larger total addressable market.
Veeva offers a highly profitable, sticky vertical software business with a more limited but defensible market, while Snowflake offers a much larger total addressable market as a horizontal data platform, but faces more direct competition from cloud hyperscalers and a less mature profitability profile. Consider whether you prefer Veeva's vertical specialization and profitability or Snowflake's broader horizontal market opportunity.
VEEV holds the edge across 3 of 5 key metrics in this comparison. SNOW has delivered stronger 1-year price return (+43.04% vs -3.49%), though VEEV has the better forward P/E setup (27.41x vs 113.08x for SNOW). On fundamentals, SNOW is growing revenue faster (33.50%), while VEEV maintains the higher operating margin (29.64%) — a classic growth-versus-profitability split. Analyst consensus implies meaningfully more upside for SNOW (+8.44%) than for VEEV (+4.76%).
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 exposure to a deeply specialized vertical software company with high switching costs in life sciences
- Value Veeva's highly profitable, capital-efficient business model and strong free cash flow
- Prefer a more predictable, focused growth profile over a larger but more competitive horizontal market
- Are comfortable with growth being inherently limited by the size of the life sciences industry
- Want exposure to a horizontal data platform with a large total addressable market across all industries
- Value Snowflake's consumption-based pricing model that scales directly with customer data usage
- Believe Snowflake's growing AI and machine learning capabilities will drive additional platform monetization
- Are comfortable with more direct competition from cloud hyperscalers and a less mature profitability profile
| Metric | VEEV | SNOW |
|---|---|---|
| AI scorei | 59.0 | 37.2 |
| AI ranki | #190 | #1520 |
| Latest closei | $266.62 | $322.98 |
| 1M returni | +9.38% | -1.81% |
| 6M returni | +42.81% | +84.98% |
| 1Y returni | -3.49% | +43.04% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | VEEV | SNOW |
|---|---|---|
| 1Y ago | $9.73K (-2.7%) started 2025-09-16 | $14.96K (+49.6%) started 2025-09-16 |
| 5Y ago | $8.74K (-12.6%) started 2021-09-16 | $9.98K (-0.2%) started 2021-09-16 |
| 10Y ago | $65.11K (+551.1%) started 2016-09-16 | $12.72K (+27.2%) started 2020-09-16 |
Hypothetical — past performance does not guarantee future results.
| Metric | VEEV | SNOW |
|---|---|---|
| Market capi | $45.45B | $106B |
| Trailing P/Ei | 46.10 | N/A |
| Forward P/Ei | 27.41 | 113.08 |
| Price/Salesi | N/A | N/A |
| EV/Revenuei | 11.02 | 21.99 |
| Analyst targeti | $294.07 | $331.66 |
| Target upsidei | +4.76% | +8.44% |
| Metric | VEEV | SNOW |
|---|---|---|
| Revenue growthi | 17.60% | 33.50% |
| Earnings growthi | 39.50% | N/A |
| EPS growthi | +39.50% | N/A |
| FCF margini | +36.37% | +34.56% |
| Operating margini | 29.64% | -22.17% |
| Profit margini | 29.34% | -23.79% |
| ROIC proxyi | 14.42% | -54.87% |
| Return on equityi | 14.42% | -54.87% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 0.92 | 1.31 |
| Debt/equityi | 2.04 | 142.91 |
| Current ratioi | 5.46 | 1.05 |
| Quick ratioi | 5.36 | 0.94 |
Over the past year, VEEV and SNOW have moved moderately in the same direction (correlation of 0.47), 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 | VEEV | SNOW |
|---|---|---|---|
| 1Y | Growthi | -2.65% | +49.56% |
| CAGRi | -2.66% | +49.67% | |
| Volatilityi | 42.61% | 65.08% | |
| Sharpe ratioi | 0.04 | 0.86 | |
| Sortino ratioi | 0.06 | 1.52 | |
| Max drawdowni | 50.55% | 56.30% | |
| Current drawdowni | 12.93% | 9.39% | |
| Avg drawdowni | 28.86% | 19.50% | |
| Ulcer Indexi | 32.92% | 25.90% | |
| Max daily dropi | 9.77% | 11.83% | |
| Max wkly dropi | 16.81% | 23.48% | |
| 5Y | Growthi | -12.58% | -0.17% |
| CAGRi | -2.65% | -0.03% | |
| Volatilityi | 39.46% | 62.41% | |
| Sharpe ratioi | 0.01 | 0.23 | |
| Sortino ratioi | 0.02 | 0.35 | |
| Max drawdowni | 53.54% | 72.99% | |
| Current drawdowni | 18.03% | 19.63% | |
| Avg drawdowni | 34.30% | 51.96% | |
| Ulcer Indexi | 36.53% | 54.53% | |
| Max daily dropi | 16.24% | 18.14% | |
| Max wkly dropi | 21.64% | 28.56% | |
| 10Y | Growthi | +551.09% | +27.19% |
| CAGRi | +20.61% | +4.09% | |
| Volatilityi | 38.82% | 62.21% | |
| Sharpe ratioi | 0.56 | 0.30 | |
| Sortino ratioi | 0.84 | 0.45 | |
| Max drawdowni | 55.69% | 72.99% | |
| Current drawdowni | 21.81% | 19.63% | |
| Avg drawdowni | 22.67% | 48.08% | |
| Ulcer Indexi | 28.66% | 51.30% | |
| Max daily dropi | 16.24% | 18.14% | |
| Max wkly dropi | 21.64% | 28.56% |
| Category | VEEV | SNOW |
|---|---|---|
| Company | Veeva Systems Inc. | Snowflake Inc. |
| Sector | Healthcare | Technology |
| Industry | Health Information Services | Software - Application |
| Core business | A vertical software company providing cloud-based applications specifically designed for the life sciences industry, including customer relationship management, clinical trial management, and regulatory compliance software for pharmaceutical and biotech companies. | A cloud-based data platform company providing data warehousing, data sharing, and increasingly AI and machine learning tools that allow enterprises across all industries to store, manage, and analyze large volumes of data. |
| Investor focus | Subscription revenue growth within its life sciences customer base, new product adoption (Vault platform expansion), and customer retention rates. | Consumption-based revenue growth, net revenue retention, and adoption of AI and machine learning features on the platform. |
- Deep vertical specialization in life sciences creates high switching costs and strong customer retention
- Comprehensive suite of software addressing multiple critical life sciences workflows beyond its original CRM product
- Highly profitable, capital-efficient business model with strong free cash flow generation
- Horizontal data platform serves customers across all industries, providing a much larger total addressable market than vertical software
- Consumption-based pricing model aligns revenue growth directly with customer data usage and platform value
- Growing AI and machine learning capabilities create additional monetization opportunities on top of core data storage and analytics
- Growth is inherently limited by the size of its focused life sciences industry customer base
- Less diversification than horizontal software platforms that can serve customers across many industries
- Long, complex enterprise sales cycles typical of large pharmaceutical and biotech customers
- Consumption-based revenue model can be more volatile than fixed subscription revenue, tied to customer usage patterns
- Faces intense competition from cloud hyperscalers' own native data platform offerings and other data cloud competitors
- Path to sustained profitability remains a key area of investor focus given continued growth investment
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