Snowflake’s AI Bet Is Working—So Why Is The Stock Down?

Snowflake (NYSE:SNOW) is sitting on a backlog of roughly $9.7–$9.8 billion in contracted future revenue. That’s massive—large enough to rival what the company generated in its early years combined. And yet, the stock is down more than 25% so far in 2026.

It feels contradictory. Strong demand. Solid numbers. Weak stock.

But this isn’t really about what Snowflake has done. It’s about what investors now expect it to do next.

The Growth Reset

As of March 2026, Snowflake is still growing at a healthy pace. Management is guiding for roughly $5.6–$5.7 billion in product revenue for FY2027, implying growth in the high-20% range.

That would normally be seen as elite.

The issue is expectation. At its peak, Snowflake was being valued like a company that could sustain 30–35% growth for years. Now that guidance points closer to the high-20s, the gap between expectation and reality has forced a reset in valuation.

The business didn’t fall off a cliff. The multiple did.

The Profitability Question

Profitability is improving—but not in the way everyone wants.

On a non-GAAP basis, operating margins are moving into the low teens, which shows clear operating leverage. But on a GAAP basis, losses are still significant, largely due to stock-based compensation.

In today’s market, that distinction matters more. Investors are increasingly focused on real earnings, not adjusted ones. Until that gap narrows, it remains a sticking point for many.

The Strategy Shift

Under CEO Sridhar Ramaswamy, Snowflake is evolving beyond its roots as a data warehouse into a broader AI-driven platform.

The reported $600 million acquisition of Observe is part of that shift. Strategically, it makes sense. It expands Snowflake’s reach into observability and deepens its enterprise footprint.

But in the short term, moves like this introduce uncertainty. Integration takes time. Margins can get pressured. And investors tend to hesitate when a clean, focused story becomes more complex.

The Business Is Still Strong

Despite the stock’s performance, the underlying business hasn’t weakened.

In its latest quarter, Snowflake delivered around $1.28 billion in revenue, up roughly 30% year over year. Even more telling, remaining performance obligations surged over 40% to nearly $9.7 billion.

That kind of backlog reflects real, committed demand—often from large enterprise deals that will convert into revenue over time.

The AI Bet

The AI push is no longer just a narrative—it’s starting to show traction.

Thousands of customers are now actively using Snowflake’s AI features every week. Newer offerings, including its “Snowflake Intelligence” platform, are scaling quickly as companies look to embed AI directly into their data workflows.

The goal is clear: position Snowflake as the central layer where data and AI converge. If successful, that could drive a new wave of consumption across the platform.

What Comes Next

The key question for the rest of 2026 is simple—can Snowflake convert its massive backlog into revenue faster?

The demand is already there. The contracts are signed. What investors want to see now is acceleration in usage. If AI-driven workloads push consumption higher, the current growth outlook could prove conservative.

There are also some near-term overhangs, including a securities lawsuit timeline in April 2026, which may weigh on sentiment temporarily.

The Bottom Line

Snowflake hasn’t lost its growth story.

It has lost its premium valuation.

The stock is no longer priced for perfection—it’s priced for execution. And from here, everything depends on how quickly the company can turn its AI momentum and massive backlog into real, measurable revenue growth.

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