Key Stats for Snowflake Stock
- Current Price: $172.20
- Target Price (Mid): ~$456
- Street Target: ~$230
- Potential Total Return (Mid): ~165%
- Annualized IRR: ~23% / year
- Earnings Reaction (2/25/26): +2.28%
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What Happened?
Snowflake Inc. (SNOW) rose 4% on May 22 after the U.S. General Services Administration announced a OneGov agreement with the company, opening its AI Data Cloud platform to every federal agency at discounted rates. Days earlier, Bank of America raised its price target to $205 from $195, calling SNOW “a share gainer in the attractive and growing AI business intelligence opportunity.” Q1 fiscal 2027 results arrive May 27.
The stock is still down roughly 22% year to date and about 39% off its 52-week high of $280.67. The gap between what the market prices and what management is building has rarely been wider. The clearest window into that gap came at the Morgan Stanley Technology, Media and Telecom Conference in March.
What Bulls and Bears Are Actually Arguing About
The surface debate is about growth normalization. Product revenue grew 30% in Q4 FY2026, a reacceleration, but Snowflake’s hypergrowth era is behind it. Bears argue the company is maturing into a mid-20% grower while hyperscalers close the gap on core cloud data warehousing.
Bulls point to the contract pipeline. Remaining performance obligations (RPO, meaning contracted revenue not yet recognized) hit $9.8 billion in Q4 FY2026, up 42% year over year. Snowflake also signed one deal worth over $400 million and seven additional nine-figure contracts, all from existing customers expanding usage. That is not a company losing wallet share.
The unresolved question is whether Snowflake’s AI products, Cortex Code and Snowflake Intelligence, can meaningfully expand consumption beyond the core analytics base. The Morgan Stanley conference is where management made their clearest case that the answer is yes.
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What the Conference Revealed
Cortex Code, Snowflake’s AI coding agent, was built to solve a specific operational problem. Before it existed, deploying an AI agent on Snowflake took months. CEO Sridhar Ramaswamy’s own data team needed more than two months to build a single sales agent. With Cortex Code, that collapsed.
“I think of this as a critical investment,” Ramaswamy said. “Simply vacating this space seems like a really dumb move to me.”
The results surprised even management. Sales executives whom Ramaswamy described as non-coders began writing applications. Workers automated forecast preparation and customer templates entirely within Snowflake. One user, he noted, connected Cortex Code to a data pipeline and found a bug sitting undetected for a year. “It’s an explosion of capabilities that became available to everyone in the company,” he said.
Snowflake Intelligence, which lets business users interact with and act on enterprise data in natural language, followed a similar adoption curve. Bank of America’s research, citing Snowflake’s fiscal year-end data, found that Intelligence grew from a nascent product to nearly 2,500 accounts in just three months.
Both products are consumption-based, meaning Snowflake earns more as usage grows rather than charging upfront license fees. Ramaswamy framed that model as a structural advantage in a market where, as he put it, “the cost of software is going to zero.” The platform’s exposure to how customers use it creates a feedback loop that he believes generic coding agents cannot replicate.
Margins, Efficiency, and the Federal Channel
CFO Brian Robins addressed capital efficiency directly at the conference. In Q4 FY2026, product revenue reaccelerated to 30% while Snowflake reduced headcount by about 200 people and added only 37 net employees. The historical link between headcount growth and revenue growth has, in Robins’s words, “completely become decoupled.”
On the path to GAAP profitability, Robins laid out a concrete stock-based compensation (SBC) roadmap: 41% of revenue two years ago, 34% in FY2026, and targeting 27% in FY2027. TIKR data shows free cash flow margin reached 23.9% in FY2026, with consensus estimates projecting continued expansion. Robins also confirmed $1.1 billion remaining on Snowflake’s share repurchase authorization.
The margin tension is real. Robins acknowledged that AI products currently carry lower gross margins than core analytics workloads, and Snowflake is guiding 75% product gross margin for FY2027. Management is offsetting AI margin dilution with efficiency gains in the core. That trade-off only resolves favorably if AI consumption scales faster than the drag.
The GSA OneGov agreement opens a customer segment Snowflake has not historically counted as a major revenue driver. Under the deal, federal agencies receive a 20% discount on compute and about a 27% discount on storage, with potential savings up to 50% as usage scales, through September 30, 2027. “We are the only multi-cloud data platform that can meet this charge on day one,” Ramaswamy said in the announcement.
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TIKR Advanced Model Analysis
- Current Price: $172.20
- Target Price (Mid): ~$456
- Potential Total Return: ~165%
- Annualized IRR: ~23% / year
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TIKR’s mid-case model targets approximately $456 per share by January 31, 2031 (Snowflake’s fiscal year-end), implying roughly 165% total return at an annualized IRR of approximately 23% per year. The two primary revenue drivers are AI workload expansion across Snowflake’s existing customer base and the monetization ramp of large enterprise commitments already locked into RPO. The model assumes a revenue CAGR of around 19% and a net income margin approaching 14% by 2031 as SBC compression takes hold.
The upside case: AI workload consumption accelerates ahead of consensus, the federal channel becomes a meaningful contributor, and SBC falls ahead of the guided pace. The downside: hyperscalers continue narrowing the gap on core warehousing, AI margin dilution proves stickier than expected, and enterprise IT budgets tighten.
Street analysts show 34 Buys, 10 Outperforms, 6 Holds, 1 No Opinion, and 1 Sell, with a mean price target of around $230 across 48 estimates per TIKR. TIKR’s mid-case at approximately $456 implies the Street is meaningfully underpricing the long-term scenario if Snowflake executes on the AI platform transition Ramaswamy described at Morgan Stanley.
Conclusion
May 27 is the first data point on whether the platform transition Ramaswamy described is showing up in the numbers. Q1 product revenue guidance is approximately $1.26 to $1.27 billion, representing around 27% year-over-year growth. The market will not react to a number that simply matches guidance.
The real tells are RPO trajectory and full-year guidance. Continued RPO acceleration would confirm that Q4’s record deal signings are not a one-quarter event. A full-year guidance raise would signal that Cortex Code and Snowflake Intelligence are pulling consumption above the baseline ahead of schedule. If either misses, the debate about whether the AI platform story is real or just a narrative reopens fast. Come back on Wednesday evening.
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Should You Invest in Snowflake?
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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 stocks mentioned. Thank you for reading, and happy investing!
