Snowflake’s AI Push and AWS Expansion Drive Sharp Rally in SNOW Stock

Snowflake shares surged after the company delivered stronger-than-expected quarterly results, raised full-year guidance, and announced a $6 billion AWS infrastructure commitment tied to growing enterprise AI demand.

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Snowflake representing company logo with AI cloud infrastructure and AWS partnership graphics
Photo by Max Böttinger / Unsplash

Inside Snowflake’s Strongest Growth Quarter Yet

Snowflake (SNOW) jumped more than 36% in earlier trading after the cloud data platform company reported fiscal first-quarter 2027 results that exceeded Wall Street expectations across several key metrics.

The company posted product revenue of $1.33 billion, up 34% year over year, while adjusted earnings reached $0.39 per share, ahead of the $0.32 analyst consensus.

Chief Executive Officer Sridhar Ramaswamy described the quarter as “the strongest sequential dollar growth in our history,” as Snowflake pointed to accelerating enterprise demand tied to artificial intelligence workloads and governed data infrastructure.

The report also included raised full-year guidance, expanding AI monetization trends, and a major new infrastructure partnership with Amazon Web Services (AMZN).


Key Points

  • Snowflake reported 34% product revenue growth and earnings above analyst expectations.
  • The company raised fiscal 2027 guidance and increased its operating margin outlook.
  • Snowflake announced a $6 billion multi-year AWS infrastructure agreement focused on AI workloads and data services.

What Drove Snowflake’s Earnings Beat?

Snowflake reported total first-quarter revenue of $1.39 billion, up 33.5% year over year, while product revenue climbed to $1.33 billion.

The company’s net revenue retention rate held at 126%, signaling that existing customers continued increasing their spending on the platform. Remaining performance obligations rose 38% year over year to $9.21 billion.

Snowflake also highlighted growing enterprise adoption among its largest customers. The number of customers generating more than $1 million in trailing 12-month product revenue increased 29% from a year earlier to 779.

Management said much of the momentum was tied to increasing production-scale AI deployments as companies moved beyond experimental AI projects into broader enterprise implementation.

Snowflake Intelligence and Cortex Code usage more than doubled quarter over quarter across more than 13,600 accounts, according to the company.

The company also showed improving profitability trends. Non-GAAP operating margin expanded to 12%, while management raised full-year operating margin guidance to 13.5%.

Why Is Snowflake Spending $6 Billion With AWS?

Alongside earnings, Snowflake announced a five-year, $6 billion infrastructure commitment with Amazon Web Services centered on Graviton processors and AI accelerators.

The agreement significantly expands Snowflake’s existing AWS relationship and is designed to support growing enterprise demand for generative AI and agentic AI applications running on governed data.

Ramaswamy said the goal is to bring AI “directly to governed data,” reflecting a broader industry push toward AI systems that can securely access and process enterprise information.

The collaboration also includes deeper product integrations, expanded AWS Marketplace distribution, and additional joint go-to-market initiatives.

Analysts viewed the size of the infrastructure commitment as a signal that Snowflake expects sustained long-term growth in AI-related workloads.

The company additionally announced plans to acquire Natoma, an enterprise Model Context Protocol platform that will help connect AI agents securely to enterprise applications such as Slack, CRM systems, databases, email platforms, and APIs.

Is AI Becoming a Tailwind for Software Companies?

Snowflake’s results helped revive discussion around whether artificial intelligence could become a growth driver for software companies rather than a disruption risk.

Several analysts said Snowflake’s quarter demonstrated that AI demand is increasing customer usage of its core platform instead of replacing it.

Wall Street firms including Wedbush and William Blair described AI as an “accelerant” for Snowflake’s broader platform adoption.

The company’s strong report also contrasted with more cautious reactions recently seen across parts of the software sector, including results from Salesforce (CRM) and Zscaler (ZS), where investors questioned the pace of AI monetization and future growth visibility.

At the same time, some analysts cautioned that software stocks remain difficult to value during the current AI investment cycle, especially as investors continue favoring semiconductor and infrastructure companies tied directly to AI spending.

Even after Snowflake’s rally, many investors remain focused on whether the company can sustain accelerating AI-related revenue growth while managing the significant infrastructure spending tied to its AWS agreement.


What It Means for Investors

Snowflake’s earnings report reinforced growing investor interest in companies positioned to benefit from enterprise AI adoption and cloud-based data infrastructure demand.

The combination of accelerating revenue growth, expanding margins, rising customer spending, and raised guidance helped shift sentiment sharply higher after SNOW stock had struggled earlier in the year.

Investors are now watching whether Snowflake can maintain its recent growth acceleration while converting increased AI platform usage into sustained long-term revenue expansion.

The AWS agreement and Natoma acquisition also place greater focus on Snowflake’s role in helping enterprises manage secure, governed AI workloads at scale.

Conclusion

Snowflake delivered one of the strongest reactions in the software sector this earnings season after reporting better-than-expected results, raising guidance, and unveiling a major AI-focused AWS infrastructure deal.

The quarter suggested that enterprise AI adoption is beginning to drive meaningful platform consumption growth, while Snowflake continues positioning itself at the center of data management and AI deployment strategies.

For markets, the report offered one of the clearest signs yet that artificial intelligence could become a major demand driver for parts of the enterprise software industry rather than simply a competitive threat.


FAQs

Why did Snowflake stock rise so sharply?

Snowflake stock surged after the company reported stronger-than-expected earnings, raised full-year guidance, and announced a $6 billion AI-focused AWS infrastructure agreement.

What was Snowflake’s revenue growth in the quarter?

Snowflake reported product revenue growth of 34% year over year, reaching $1.33 billion during fiscal first-quarter 2027.

What is Snowflake’s AWS agreement about?

The agreement commits Snowflake to spending $6 billion over five years on Amazon Web Services infrastructure, including AI accelerators and Graviton processors.

How is AI affecting Snowflake’s business?

Snowflake said AI workloads are increasing customer usage of its platform, particularly through products like Snowflake Intelligence and Cortex Code.

What guidance did Snowflake raise?

Snowflake raised full-year fiscal 2027 product revenue guidance to $5.84 billion and increased its non-GAAP operating margin outlook to 13.5%.

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


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