Snowflake’s AI Consumption Flywheel Drives Faster Growth as Margins Face Pressure

AI Demand Is Translating Into Measurable Growth at Snowflake

Snowflake (SNOW) delivered fiscal Q2 2027 revenue of $1.55 billion, up 35% year over year, while product revenue increased 37% to $1.49 billion. Adjusted earnings reached $0.62 per share, compared with Wall Street expectations of roughly $0.45.

The bigger market signal came from the acceleration underneath those results. Product revenue growth accelerated for a third consecutive quarter, while management said its broad AI product portfolio contributed approximately half of the recent growth acceleration. SNOW stock responded with a gain of more than 20% on Thursday.

Key Points

• Snowflake reported $1.55 billion in Q2 revenue, up 35% year over year, while product revenue rose 37% to $1.49 billion and accelerated for a third consecutive quarter.
• AI products accounted for roughly half of the recent growth acceleration, with CoCo reaching more than 9,100 accounts and CoWork reaching 5,800 accounts.
• Snowflake raised FY27 product revenue and operating-margin guidance, but lowered product gross-margin guidance to 74% as lower-margin AI workloads expand.

AI Consumption Drives Snowflake’s Growth Acceleration

Snowflake's Q2 results provided evidence that enterprise AI adoption is translating into greater consumption of its data platform.

The company added 692 net new customers during the quarter, 32% more additions than a year earlier. Snowflake now has 828 customers generating more than $1 million in trailing product revenue, including 65 customers exceeding $10 million.

AI adoption expanded alongside the broader customer base. CoCo surpassed 9,100 accounts after adding more than 2,000 during Q2, while CoWork reached 5,800 accounts, up nearly 11% sequentially. Management estimated that its broader AI portfolio generated approximately half of the recent acceleration in growth.

The remaining acceleration came from areas including core-platform consumption, faster migrations, Notebooks and applications.

CEO Sridhar Ramaswamy described AI adoption as creating a flywheel in which new AI workloads increase usage across the broader Snowflake platform. Customers using Snowflake for AI are not only consuming individual AI products but also using more of the underlying data infrastructure.

That relationship matters for Snowflake because its business is consumption-based: greater customer usage can translate directly into additional product revenue.

Why Did SNOW Stock Jump More Than 20%?

The market reaction reflected more than an earnings beat. Snowflake also substantially increased its expectations for the remainder of fiscal 2027.

Full-year product revenue guidance increased to approximately $6.07 billion, representing 36% growth, compared with the previous outlook of $5.84 billion and 31% growth. Approximately one percentage point of the updated growth outlook comes from the Observe acquisition.

For Q3, Snowflake expects product revenue between $1.588 billion and $1.593 billion, representing growth of approximately 37% to 38%.

Contracted business also expanded. Remaining performance obligations, or RPO, increased 30% year over year to $9 billion. Snowflake expects 54% of that amount to convert into revenue during the next 12 months, although RPO does not determine exactly when customers will consume contracted capacity.

The combination of accelerating product revenue, rising AI consumption and higher guidance helped drive SNOW shares more than 20% higher following the report. The reaction also extended beyond Snowflake, with Datadog (DDOG) gaining in premarket trading following the results.

Higher AI Usage Creates a New Margin Test

Snowflake's growth outlook improved, but the quarter also highlighted an important economic tradeoff from AI adoption.

The company reduced its FY27 non-GAAP product gross-margin outlook to 74% from 75%. Management has acknowledged that its AI products currently carry lower gross margins than its core platform.

At the same time, operating profitability improved. Q2 non-GAAP operating margin reached roughly 15%, expanding by more than 400 basis points from a year earlier. Snowflake also increased its FY27 non-GAAP operating-margin guidance to 14.5% from 13.5%.

Slower hiring and internal AI-driven productivity are helping offset higher cloud and model costs. The company also maintained its 23% adjusted free-cash-flow margin outlook.

Snowflake remains unprofitable under generally accepted accounting principles. Stock-based compensation was reported at more than $400 million during Q2, while management expects the company to reach GAAP profitability in the fourth quarter of fiscal 2028.

The margin picture therefore has two sides: AI is contributing to faster platform consumption while introducing lower-margin workloads, even as broader operating efficiency improves.

What It Means for Investors

Snowflake's Q2 results shift the focus from whether AI can create additional demand for its platform toward how significant and durable that additional consumption can become.

The company said AI products accounted for roughly half of its recent growth acceleration, while core-platform consumption, migrations and other applications contributed the remainder. Customer expansion was also broad, with more new customers, increasing use cases and continued growth among large accounts.

The raised FY27 outlook provides another indication of that momentum. At the same time, the reduction in product gross-margin guidance shows that stronger AI consumption carries costs.

Snowflake's next financial test is therefore not simply AI adoption. Investors will be watching whether CoCo, CoWork and other AI products continue generating additional platform consumption while operating leverage offsets the lower gross margins associated with the expanding AI mix.

Valuation also raises the expectations surrounding future results. Snowflake was trading at approximately 15 times projected next-12-month revenue, compared with 7.4 times forward revenue for the broader iShares Expanded Tech-Software Sector ETF. Shares had already gained substantially in 2026 before the post-earnings move.

Conclusion

Snowflake's fiscal Q2 results showed that AI is becoming a measurable contributor to its growth rather than simply a future opportunity.

Revenue increased 35%, product revenue accelerated to 37% growth, AI adoption expanded, and Snowflake raised its full-year product revenue and operating-margin forecasts. The strong earnings reaction reflected those improving fundamentals and expectations.

The counterweight is product profitability. AI workloads currently generate lower gross margins than Snowflake's core platform, contributing to the reduction in full-year product gross-margin guidance.

The coming quarters will provide additional evidence on whether faster AI-driven consumption and broader operating leverage can continue alongside that changing revenue mix.

FAQs

Why did Snowflake stock rise after earnings?

SNOW stock rose more than 20% after Snowflake reported stronger-than-expected Q2 results, accelerating product revenue growth and higher fiscal 2027 guidance. Management also said AI products contributed approximately half of the company's recent growth acceleration.

How fast is Snowflake's product revenue growing?

Snowflake reported Q2 product revenue of $1.49 billion, up 37% year over year. It was the third consecutive quarter in which product revenue growth accelerated.

How is AI affecting Snowflake's business?

Snowflake said its broad AI product portfolio contributed approximately half of its recent growth acceleration. CoCo surpassed 9,100 accounts, while CoWork reached 5,800 accounts, and management said AI adoption is also increasing consumption of the broader platform.

What is Snowflake's fiscal 2027 outlook?

Snowflake expects approximately $6.07 billion in fiscal 2027 product revenue, representing 36% growth. The company also raised its non-GAAP operating-margin outlook to 14.5%.

Why did Snowflake lower its product gross-margin guidance?

Snowflake lowered its fiscal 2027 non-GAAP product gross-margin guidance to 74% from 75%. Management has said its AI products currently carry lower gross margins than its core platform.

This article was created with AI assistance and reviewed by an editor. For details, please refer to our Terms of Use.

Go Beyond the Market Brief with Market Edge

Follow SharperTrades’ complete approach to trading and investing, combining active trade opportunities through Block Orders, long-term research through Stock Investor, and structured market education through the Swing Trading Masterclass. Try Market Edge for $19 your first month →

Explore Research with Stock Investor

Stock Investor is SharperTrades’ platform for long-term investing research and portfolio management. Members receive research reports, portfolio updates, conviction tracking, and in-depth analysis designed to support disciplined investment decisions.

Explore Active Trading & Income Strategies

Block Orders tracks institutional activity and highlights active trade setups and price behavior across long and short opportunities.

For options-focused traders, Essential Option Income provides a structured approach to options income strategies, while Pro Option Trader offers a broader range of options strategies and trade opportunities.

Think More Clearly with SteadyCapital

SteadyCapital is SharperTrades’ decision-support system for long-term investors, built around the SteadyCapital Method™. Review investment ideas, challenge assumptions, evaluate valuation and risk, compare companies, and think through important buy, hold, add, trim, or sell decisions before you act.

Risk Disclosure

All content is provided for educational purposes only and does not constitute investment advice. Trading involves risk, and past performance is not indicative of future results. Please review our full Risk Disclosure for additional information.