SNOW Q1 Earnings Call: Revenue Misses Expectations as AI and Product Innovation Drive Outlook

By Adam Hejl | May 29, 2025, 2:44 PM

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Data warehouse-as-a-service Snowflake (NYSE:SNOW) fell short of the market’s revenue expectations in Q1 CY2025, but sales rose 25.7% year on year to $1.04 billion. Its non-GAAP EPS of $0.24 per share was 13.1% above analysts’ consensus estimates.

Is now the time to buy SNOW? Find out in our full research report (it’s free).

Snowflake (SNOW) Q1 CY2025 Highlights:

  • Revenue: $1.04 billion vs analyst estimates of $1.01 billion (25.7% year-on-year growth, 3.4% beat)
  • Adjusted EPS: $0.24 vs analyst estimates of $0.21 (13.1% beat)
  • Adjusted Operating Income: $91.66 million vs analyst estimates of $52.66 million (8.8% margin, 74.1% beat)
  • Product Revenue Guidance for Q2 CY2025 is $1.04 billion at the midpoint, higher than expectations of $1.02 billion
  • Operating Margin: -42.9%, in line with the same quarter last year
  • Free Cash Flow Margin: 0%, down from 42.1% in the previous quarter
  • Customers: 606 customers paying more than $1 million annually
  • Net Revenue Retention Rate: 124%, down from 126% in the previous quarter
  • Billings: $770.7 million at quarter end, up 36.2% year on year (2% miss vs expectations of $786 million)
  • Market Capitalization: $68.2 billion

StockStory’s Take

Snowflake’s first quarter results were shaped by ongoing expansion in its data platform offerings and increased adoption among large enterprise customers. Management highlighted momentum in new product capabilities, particularly Snowpark and Dynamic Tables, as well as robust customer activity in sectors like technology and retail. CEO Sridhar Ramaswamy pointed to use cases such as Dentsu’s cost reductions from consolidating data architecture and Siemens’ partnership for operational efficiency, illustrating how Snowflake’s platform is being integrated into complex data ecosystems. The leadership team also noted the importance of investments in connectivity and unstructured data solutions, such as the Snowflake connectors and support for Apache Iceberg, which are broadening the company’s reach across varied customer environments.

Looking forward, management’s guidance is grounded in expanding AI capabilities and deepening product integration across customer workflows. Ramaswamy explained that Snowflake customers are increasingly viewing their data strategies as a foundation for long-term AI adoption, with Cortex AI and Cortex Agent driving both immediate and future value. CFO Mike Scarpelli emphasized continued investments in go-to-market teams and operational efficiency, while warning that large-scale customer events and ongoing hiring in sales could impact near-term margins. The company plans to leverage product launches and partnerships—especially in the public sector and manufacturing verticals—to capture new market opportunities and sustain growth throughout the year.

Key Insights from Management’s Remarks

Management attributed the quarter’s results to strong product adoption, expanded customer use cases, and increased operational focus, while noting that revenue fell short of Wall Street’s expectations due to variability in bookings and consumption trends.

  • AI product adoption accelerating: The company reported over 5,200 accounts using its AI and machine learning features weekly, with Cortex AI evolving into a central component for enterprise customers. Management cited examples like Samsung Ads and Kraft Heinz leveraging Snowflake’s AI tools for targeted advertising and workflow automation.
  • Enhanced data integration: Snowflake connectors, including technology from the Datavolo acquisition, are enabling seamless integration with platforms such as Google Drive and Workday. This is allowing customers like AstraZeneca to unify business-critical data, while CloudZero uses Snowflake’s data sharing to securely exchange information with partners.
  • Strength in data engineering: The Data Engineering business remains a growth driver, helping clients streamline data pipelines and reduce third-party tool reliance. Dentsu, for instance, achieved a 30% cost reduction through architecture simplification and data consolidation with Snowflake.
  • Specialized sales and go-to-market investments: The addition of a new Chief Revenue Officer and targeted hiring in sales are supporting specialized product motions, particularly around AI and data engineering. The company’s focus on building expert teams is intended to drive adoption and repeatable customer success across verticals.
  • Expansion into public sector and manufacturing: Snowflake launched a dedicated public sector entity and secured Department of Defense provisional authorization, allowing it to pursue national security contracts. New automotive and manufacturing solutions are also being introduced, targeting companies like CarMax and Nissan for advanced data and AI adoption.

Drivers of Future Performance

Snowflake’s outlook is driven by increasing demand for AI-powered solutions, expanded product launches, and ongoing operational efficiency efforts, with management remaining watchful of evolving customer spending and margin pressures.

  • AI integration fuels demand: Management expects AI tools like Cortex and Cortex Agent to deepen customer engagement and unlock new use cases, positioning Snowflake as a core enabler of enterprise AI strategies. The leadership stressed that success in this area depends on continued investment in product development and customer enablement.
  • Go-to-market focus and new verticals: The company is prioritizing sales force productivity and targeted expansion in sectors such as public sector and manufacturing. The public sector push, bolstered by recent certifications, is anticipated to drive incremental growth, while new solutions for automotive and manufacturing are designed to attract large-scale, data-intensive customers.
  • Margin discipline amid investments: While Snowflake is investing in headcount, product launches, and customer events, management cautioned that these outlays could weigh on near-term margins. CFO Mike Scarpelli noted a strong focus on operational efficiency, using AI to improve internal productivity, but signaled that margin improvements would likely be gradual as the business scales.

Catalysts in Upcoming Quarters

In the coming quarters, investors will focus on (1) the adoption rate and monetization impact of new AI and data engineering features like Cortex and Snowpark; (2) the effectiveness of Snowflake’s push into the public sector, including contract wins and customer expansion; and (3) whether operational investments and hiring translate into sustained margin improvement as new products are launched. Progress on partnerships and the outcome of the Snowflake Summit will signal the company’s ability to execute on these priorities.

Snowflake currently trades at a forward price-to-sales ratio of 14.2×. Is the company at an inflection point that warrants a buy or sell? Find out in our full research report (it’s free).

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