Snowflake's Q4 Earnings: The Beat Was Priced In, But the AI Narrative Isn't

The setup was textbook. For Snowflake's fourth quarter, the market consensus was clear: expect earnings of $0.27 per share and revenue of $1.25 billion. The company had beaten revenue estimates for over a year, and the stock had climbed to a close of $161.06 just before the report. The expectation gap was narrow, but the AI narrative was loud.

The print delivered a beat on both lines. Snowflake posted adjusted earnings of $0.32 per share and $1.28 billion in revenue. That's a 19.18% EPS surprise and a 2.42% revenue beat. On the surface, it was a strong performance. Yet, the stock's reaction told the real story. Shares fell 3% in extended trading after the close.

This is the classic "sell the news" dynamic. The positive results were already priced in. The market had baked in the expectation of another beat, especially given the company's streak. When the actual numbers came in, they met but didn't exceed the whisper number enough to drive the stock higher. The beat was good, but not great enough to reset expectations meaningfully. The drop signals that investors saw the news as a confirmation of the existing, already-optimistic trajectory, not a catalyst for a new one.

The AI Narrative vs. Execution Metrics: What's Driving the Expectation Reset

The beat was driven by solid operational strength, not a one-time fluke. The key metric is product revenue, which grew 30% year over year to $1.23 billion in Q4. That figure not only powered the overall revenue beat but also demonstrated the core business is scaling at a healthy clip. This growth is supported by a powerful customer base, with 733 customers spending over $1 million and a record largest deal in the company's history signed last quarter.

Yet the forward guide is the real signal for the expectation reset. For the first quarter, Snowflake is guiding product revenue to $1.262 to $1.267 billion, representing roughly 27% year-over-year growth. That's a strong number, but it's not a raise from prior expectations. It's a neutral guide, suggesting management sees no major acceleration ahead. This is a classic "beat and hold" setup, where the company meets the bar but doesn't offer a new, higher one to justify a higher stock price.

The most critical indicator of long-term health, however, remains intact. Snowflake's net revenue retention rate held at 125%. This high rate of customer stickiness and expansion is the bedrock of its growth story. It means existing customers are not just staying but spending more, which supports the sustainability of the product revenue growth. This metric likely underpins the maintained full-year product revenue guidance of ~27% growth.

So the expectation gap is shifting. The market had priced in another beat, which happened. Now it's weighing whether the execution is strong enough to justify a premium, especially given the neutral forward guide. The high net revenue retention is a positive, but without a raised outlook, the AI narrative alone may not be enough to drive the stock higher.

Analyst Reactions and the Guidance Reset: A Lowered Price Target Landscape

The market's immediate verdict was clear: the beat was priced in, and the neutral guide wasn't enough to justify a premium. Analysts moved quickly to adjust their models, providing a stark translation of the post-earnings sentiment shift. Following the report, 15 analysts updated their price targets, and the trend was unmistakably downward. The average target was revised from a pre-earnings consensus of roughly $270 to a new average near $220. This isn't a wholesale sell-off; the consensus rating remained largely "Buy" or "Overweight." But the lowered targets signal a reset in growth expectations after the beat. The message is that while Snowflake executed well, the path to a higher valuation now looks more gradual.

The stock's price action tells the same story of a short-term "buy the rumor, sell the news" dynamic. Shares were trading around $161.06 before the report, having climbed on the anticipation of another beat. After the print, the stock initially popped 3.5% to $175.18 in pre-market trading. That move reflects the initial relief of the beat and the strong product revenue growth. Yet, the subsequent decline in extended trading shows that the positive news was already in the price. The lowered analyst targets now anchor a more cautious forward view, capping the upside from that initial pop.

Viewed another way, the stock is still trading well below its 52-week high. The post-earnings price of ~$175 represents a modest gain from the pre-earnings close, but it leaves a significant gap to the peak. This setup suggests the market is waiting for a clearer catalyst-a raised guide, a stronger margin trajectory, or a more compelling AI monetization story-to drive the stock back toward those highs. For now, the expectation gap has narrowed on the earnings front, but the valuation gap remains open.

Catalysts and Risks: The Next Expectation Gap in AI Scaling

The immediate expectation gap has closed. The beat was priced in, the guide was neutral, and the stock reacted accordingly. Now, the market is looking ahead to the next catalyst that could create a new divergence between priced-in optimism and reality. The key driver is the execution on AI-driven growth, specifically the scaling of Snowflake Intelligence and the success of its largest deal.

The most direct catalyst is the scaling of Snowflake Intelligence. The company reported that this AI product has scaled to over 2,500 accounts. This is a leading indicator of future revenue, as these accounts represent new consumption streams. The success of the largest deal in Snowflake's history, over $400 million in total contract value, provides a high-profile validation of the AI narrative. If this deal leads to rapid adoption across the customer's organization and becomes a reference case, it could accelerate the AI product's growth trajectory beyond the current 27% product revenue guide. Investors should watch for any deviation from the maintained 125% net revenue retention rate and the 42% year-over-year growth in remaining performance obligations, as these metrics will signal whether the AI momentum is translating into predictable, long-term bookings.

The major risk, however, is the continued pressure on profitability from stock-based compensation. While the company has made progress, stock-based compensation declined from 41% of revenue in fiscal '25 to 34% in fiscal '26. That remains a significant expense that could impact future margins, especially as the company invests in AI and acquisitions like Observe. The guidance for a non-GAAP operating margin of 12.5% for FY27 is ambitious, and any stumble in controlling these costs could pressure the bottom line and reset margin expectations downward.

In essence, the next expectation gap hinges on two fronts. First, can Snowflake Intelligence scale fast enough to justify a premium valuation, moving beyond the neutral guide? Second, can the company maintain its path to profitability while funding this growth? The market will be watching for signs that the AI narrative is moving from promise to measurable, margin-accretive execution.