Key Stats for Snowflake Stock
- 52-Week Range: $118.30 – $331.40
- Current Price: $330.49
- Street Target Price: ~$302
- NTM P/E: ~156x
- 1-Yr Return: +62.9%
- Market Cap: ~$115B
- Fwd 2-Yr Revenue CAGR: ~28%
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The AI Data Platform That Keeps Accelerating
Most enterprise software companies sell licenses or annual subscriptions. Snowflake (SNOW) works differently, companies pay only for the compute and storage they actually use, measured in credits that scale with demand. As AI workloads grow in both volume and complexity, companies running large language models and analytics pipelines on Snowflake’s platform consume more credits each quarter, often well beyond their initial contracts.
What makes Snowflake’s growth unusual is where it comes from. The net revenue retention rate for Q1 FY2027 came in at 126%, meaning existing customers spent 26% more year over year without any new customer acquisition required to produce that result. Product revenue hit $1.334 billion in the quarter ended April 30, 2026, up 34% year over year, and remaining performance obligations of $9.21 billion grew 38%.
Snowflake now serves 779 customers with trailing 12-month product revenue above $1 million and 813 Forbes Global 2000 companies. Remaining performance obligations of $9.21 billion grew 38% year over year. CFO Brian Robins described the environment directly: “AI continues to accelerate our core data platform business as customers move to Snowflake with increasing urgency.”
The revenue chart shows where the business has come from and where consensus expects it to go.

Revenue grew from $592 million in FY2021 to $4.68 billion in FY2026, nearly 8x in five years. Consensus estimates see the business reaching $6.1 billion in FY2027, $7.6 billion in FY2028, and $14.1 billion by FY2031.
The forward curve assumes growth moderates from 34% today toward roughly 21% annually, driven by the assumption that AI-related data workloads continue growing faster than general enterprise IT spending.
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Why GAAP Losses Obscure the Real Picture
Snowflake’s income statement shows significant GAAP losses, stock-based compensation of $434 million in Q1 alone creates accounting losses that do not reflect the actual cash economics of the business. The free cash flow chart tells a different story.

FCF was negative $80 million in FY2021, turned positive at $94 million in FY2022, then grew steadily: $521 million in FY2023, $813 million in FY2024, $913 million in FY2025, $1.12 billion in FY2026. Snowflake is generating over a billion dollars in annual free cash flow and growing it consistently, while the income statement shows accounting losses.
The 156x P/E looks very different when viewed through a free cash flow lens, and investors who stop at the GAAP numbers miss something real about the business. The balance sheet adds to the picture, $1.62 billion in net cash, no debt, and full flexibility to invest in growth.
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What the Valuation Model Says About Snowflake Stock
The TIKR valuation model mid-case target comes out to around $823, representing a potential total return of roughly 149% at around 22.5% annualized over 4.5 years. The model assumes revenue growing at around 21% annually, net income margins expanding to roughly 14.5%, and EPS compounding at around 25% per year. The P/E multiple barely moves in the mid-case, meaning returns are driven by earnings growth rather than re-rating.

The Street consensus target of around $302 sits below the current price, suggesting analysts think the near-term setup is stretched. The high case reaches around $2,160 at roughly 25% annualized, while the low case produces around $1,063 at roughly 15%. Both scenarios require sustained growth execution over nearly a decade.
Should You Buy Snowflake Stock?
Snowflake’s business is executing at a level that is difficult to dispute, 34% revenue growth, 126% net revenue retention, accelerating AI workloads, and $1.1 billion in annual free cash flow from a company that went public six years ago. The honest tension is paying 156 times forward earnings for that execution.
The Street on average thinks the stock has run ahead of near-term fair value, while the TIKR model points to significant long-term upside if the AI data platform thesis plays out.
The reality is that both things can be true simultaneously. Investors with a multi-year horizon and tolerance for a high-multiple growth stock will find more to like here than those looking for near-term margin of safety.
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Disclaimer:
Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or our content team, nor are they recommendations to buy or sell any stocks. We create our content based on TIKR Terminal’s investment data and analysts’ estimates. Our analysis might not include recent company news or important updates. TIKR has no position in any of the stocks mentioned. Thank you for reading, and happy investing!