Earnings season is in full swing, but investors aren’t paying easy rewards. Even companies with high Wall Street estimates can see their stocks fall if guidance disappoints or management signals near-term spending increases. In today’s market, a simple earnings beat isn’t enough—investors want solid forecasts, disciplined spending, and clear visibility. Anything less, and the reaction can be swift and unforgiving. The dynamic has been particularly brutal for capital-focused tech names, where heavy AI investment spending and high guidance have pushed the bullish prints to sell-side news events.
One notable loser is Snowflake (SNOW), which is down significantly in 2026, not because of its earnings. Snowflake has caught on amid concerns that native AI architectures and autonomous agents could undermine the demands of legacy data workflows. Yet a new analyst note from Evercore ISI paints a different picture, describing Snowflake as one of the most flexible “scaffolding” plays in enterprise AI adoption.
So, with the sentiment out of the way but the fundamentals still intact, the big question for investors is simple: Should you take the plunge into SNOW stock now?
Founded in 2012, Snowflake is a cloud software company that counts hundreds of Fortune 2000 companies as customers, including many in financial services, media and retail. Its architecture and “data sharing” features simplify cross-cloud data collaboration while maintaining enterprise-grade security and governance.
Importantly, the company is not standing still in the midst of the AI disruption debate. Snowflake has secured two $200 million multi-year deals, one each with OpenAI and Anthropic, to integrate their state-of-the-art AI models into Snowflake’s AI data cloud. These deals indicate strong enterprise demand for Snowflake’s AI offerings, Snowflake’s new “Cortex” AI services, and reinforce the view that AI workloads are increasing consumption on its platform.
Additionally, there is news that Snowflake has acquired Observation, bringing Observation and Monitoring into its portfolio. This acquisition and others — such as Tensorstax for AI data engineering — expand Snowflake’s cloud ecosystem and are generally seen as strategic positives.
However, SNOW’s stock performance tells a different story. Snowflake 2026 started near the low $200s. Since then, shares are down about 23% on a year-to-date (YTD) basis. That pressure came with widespread “SaaS sales,” rising interest rates, slowing growth expectations, and a move out of richly valued tech names. It also follows headlines in late February and a cautious report from Workday (WDAY), which raised fears about AI driving down future software costs. In short, stock declines are driven more by market sentiment than any company decline.
Even after the rebound, value remains a central debate. SNOW stock trades at 12 times EV/sales and a price-to-book ratio of 27.3, significantly higher than the related sector median. This suggests that Snowflake’s value is embedded in significant future growth. Wall Street figures that the company will have to continue to post higher revenue growth of more than 20% and improve profit margins to justify that premium. For now, the stock isn’t “cheap” on the metrics — it’s still among the richest value cloud names, which means limited room for error.
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Many Wall Street voices argue that the latest rebound in Snowflake looks more like an emotion-driven reset than a fundamental breakdown. After shares fell with a broader AI-related software cohort, analysts at Citigroup described the move as an overreaction, reiterating faith in Snowflake’s consumption-based model and long-term AI monetization strategy.
Similarly, Morgan Stanley’s commentary emphasized that Snowflake remains the core infrastructure layer for enterprise AI workloads, especially as companies modernize their data stacks. The company suggested that while near-term volatility may persist, structural demand for AI-ready data platforms supports sustained top 20% revenue growth.
In short, while traders have reacted to macro and AI spending, many analysts see it as a potential entry point rather than a red flag.
On February 25, Snowflake reported fourth quarter results, and the numbers were stronger than many feared. Revenue increased nearly 30% year-over-year (YOY) to $1.28 billion. Most of that, $1.23 billion, came from product revenue tied to its cloud data platform, while about $57 million was generated from professional services and other streams.
Snowflake delivered $0.32 in EPS, comfortably ahead of consensus estimates of $0.27. Free cash flow remained flat at about $765 million for the quarter, and the company exited with about $2.83 billion in cash and equivalents during the period, bolstering balance sheet strength.
CEO Sridhar Ramaswamy described the quarter as another milestone, noting that Snowflake’s platform “sits at the center of the company’s AI revolution.” Ramaswamy pointed to the growing demand for AI-powered applications layered on top of Snowflake’s data cloud, stressing that its decade-long foundation now supports “world-class agentic capabilities.” CFO Brian Robbins noted enterprise traction, with 740 net new customers added during the year and 733 customers now spending more than $1 million annually, up 27% YOY.
Looking ahead, management has guided for fiscal 2027 product revenue between $1.262 billion and $1.267 billion, indicating growth of around 27% YOY. Full-year fiscal 2027 product revenue is expected to reach approximately $5.66 billion, representing 27% growth. Both figures were slightly above Wall Street’s prior expectations of about $1.23 billion for Q1 and $5.5 billion for the full year.
Wall Street is very confident in Snowflake’s growing prospects. Based on 45 analysts with coverage, SNOW stock has a consensus rating of “Strong Buy” and an average price target of $237.26, indicating a potential upside of 40% from current levels.
In terms of what analysts are saying, the consistent theme is that Snowflake’s core business is resilient. Citi analyst Taylor Roddick clearly highlighted the company’s “AI-resistant consumption model” and strong traction for Cortex AI. Morgan Stanley’s Keith Weiss pointed out that Snowflake saw the greatest acceleration in large-cap software demand in the latest CIO survey.
Overall, analysts agree with the high valuation, but many still expect the company to meet its targets and ultimately turn a profit, seeing Snowflake as a leader in the AI-powered data cloud.
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As of the date of publication, Nauman Khan had no position (either directly or indirectly) in any of the matters mentioned in this article. All information and data in this article is for informational purposes only. This article was originally published on Barchart.com
