Key Stats for Snowflake Stock
- 52-Week Range: $118 to $281
- Current Price: $140
- Street Mean Target: $233
- Street High Target: $500
- Analyst Consensus: 35 Buys, 10 Outperforms, 6 Holds, 1 Sell
- TIKR Model Target (Jan. 2031): $374
What Happened?
Snowflake Inc. (SNOW), the cloud-based data platform that lets enterprises store, query, and share massive datasets across multiple cloud providers, ended April 24 at $140.32, putting it 50% below the 52-week high of $280.67.
The selloff did not come from a weak business.
Snowflake’s Q4 FY2026 product revenue grew 30% year-over-year to $1.227 billion, ahead of the $1.18 billion consensus estimate, and the company closed fiscal year 2026 with total revenue of $4.68 billion, up 29%.
The real story behind the number is what drove it: AI workloads are no longer a future promise inside the platform.
More than 9,100 accounts now use Snowflake’s AI products, and Snowflake Intelligence, the company’s enterprise-grade agentic AI offering, scaled from launch to 2,500 active accounts in just three months.
Cortex Code, Snowflake’s native coding agent, is the less obvious but arguably more durable driver: CEO Sridhar Ramaswamy described on the Q4 earnings call how it compresses migration timelines that once required 18 months and 100-person teams into weeks, with one partner reporting 21,000 operations completed in 20 days.
The platform has not just accelerated internally.
Snowflake signed the largest deal in its history in Q4, a contract exceeding $400 million with an existing financial services customer, alongside seven nine-figure contracts, compared to two in the same quarter a year prior.
Remaining performance obligations reached $9.77 billion, up 42% year-over-year, the second consecutive quarter of acceleration, and the company’s net revenue retention held at 125%.
For FY2027, Snowflake guided product revenue of approximately $5.66 billion, representing around 27% growth, with the Observe observability platform acquisition adding roughly one percentage point of that growth.
The class action lawsuits appearing across the news feed relate to a period from June 2023 to February 2024, when Snowflake disclosed headwinds from product efficiency gains, Iceberg Table adoption, and tiered storage pricing that it had not fully communicated to investors: those disclosures triggered an 18% single-session drop in February 2024 and have since spawned multiple filings with a lead plaintiff deadline of April 27, 2026.
The litigation is a known overhang, not a new one, and it does not alter the consumption trajectory Snowflake has demonstrated since.
Wall Street’s Take on SNOW Stock
Snowflake’s Q4 revenue reacceleration to 30% growth, powered by AI workloads and nine-figure enterprise commitments, lands directly in the forward consumption model as evidence that FY2027 guidance is floor, not ceiling.
SNOW’s revenue grew 29.2% in FY2026 to $4.68 billion, and consensus now estimates around $5.91 billion in FY2027, representing roughly 26% growth, supported by the Observe contribution and a core business where net revenue retention has held at 125% for consecutive quarters.
Of 52 analysts covering Snowflake stock, 45 rate it a buy or outperform, 6 hold, and 1 sells, with a mean price target of $233 and a median of $230, implying more than 65% upside from the current price; Wall Street is specifically waiting to see whether AI workload contribution crosses from a supporting driver into the primary driver before the next round of estimate revisions.
The target spread runs from $124 at the low end to $500 at the high, and the gap between those two endpoints traces directly back to one question: whether Snowflake’s consumption model can absorb an enterprise AI adoption wave or whether further efficiency optimizations compress the revenue per workload over time.
Trading at roughly 10x forward EV/Revenue against a three-year historical average closer to 20x, while delivering 26% to 29% annual revenue growth with an AI product footprint that didn’t exist 18 months ago, leaves Snowflake stock appearing deeply undervalued for investors with a multi-year horizon.
Coatue Management raised its SNOW stake by 26.8% to 2.5 million shares as of December 31, 2025, while the broader software sector was already in compression, which suggests at least one major institutional player read the selldown as a buying opportunity rather than a verdict on the business.
If enterprise AI budget cycles stall in 2026 or model efficiency improvements continue to reduce per-query compute consumption faster than new workload volume fills that gap, the consumption growth thesis breaks at the model level.
Q1 FY2027 product revenue guidance of $1.262 billion to $1.267 billion, representing around 27% year-over-year growth, is the first live test of whether AI workloads are holding velocity after the Q4 acceleration.
What Does the Valuation Model Say?
The TIKR model’s mid-case target of $374 per share, based on a revenue CAGR of around 19% through FY2031 and a net income margin trajectory expanding from 9.9% today toward roughly 14%, implies a roughly 167% total return from the current price over approximately 4.8 years, with an annualized IRR of around 23%.
A consumption-based platform generating 29% revenue growth, holding 125% net revenue retention, and accumulating $9.77 billion in remaining performance obligations trades at roughly 10x forward EV/Revenue, a multiple last seen when Snowflake was growing at half this rate: at that disconnect, Snowflake stock is undervalued for patient investors who believe the AI workload inflection is structural and not transient.
The investment case hinges on one question that the RPO backlog and AI adoption data answer in different directions depending on your assumptions about consumption model durability.
What Has to Go Right
- Q1 FY2027 product revenue of $1.262 to $1.267 billion tracks to or above the 27% growth guidance, confirming that Q4’s 30% was not driven solely by the outsized financial services contract
- Snowflake Intelligence’s 2,500-account base at Q4 close continues scaling, sustaining the trajectory management described as the “largest sequential increase in AI accounts” in company history
- Cortex Code’s compression of migration timelines from 18 months to weeks accelerates new workload onboarding and the consumption revenue those workloads generate
- The $9.77 billion RPO, with approximately 46% expected to convert in the 12 months ending January 2027, provides a concrete $4.5 billion revenue floor that makes the FY2027 guide structurally credible
- Non-GAAP operating margin guidance of 12.5% for FY2027 and SBC declining from 34% to 27% of revenue mark a visible path toward GAAP profitability well within the model’s horizon
What Could Go Wrong
- The class action covering the June 2023 to February 2024 period introduces litigation costs and management distraction, and any adverse ruling could reset sentiment before the fundamental inflection fully prices in
- Product efficiency improvements and Iceberg Table interoperability are permanent platform features and will continue to create consumption headwinds that new workload volume must outrun every quarter
- New CRO Jonathan Beaulier, who replaced Mike Gannon on March 31, 2026, has not yet run a full sales cycle, introducing execution uncertainty into FY2027 go-to-market at the precise moment the AI workload thesis needs confirmation
- The FY2027 guidance was built entirely on observed consumption patterns with no credit given to Cortex Code adoption curves, meaning any slowdown in core consumption is not offset by AI upside in the model
- At $140.32, the stock already reflects significant execution risk, but a Q1 miss in a difficult software macro would compress the EV/Revenue multiple further and trigger additional institutional selling pressure
Should You Invest in Snowflake Inc.?
The only way to really know is to look at the numbers yourself. TIKR gives you free access to the same institutional-quality financial data that professional analysts use to answer exactly that question.
Pull up SNOW stock and you’ll see years of historical financials, what Wall Street analysts expect for revenue and earnings in the quarters ahead, how valuation multiples have moved over time, and whether price targets are trending up or down.
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