Snowflake Inc. exceeded analyst expectations for the second quarter, reporting revenue of $1.55 billion, a 35% year-over-year increase, and earnings of 62 cents per share, surpassing forecasts. The company raised its fiscal 2026 product revenue guidance to $6.1 billion, signaling accelerating growth driven by enterprises adopting AI-powered data strategies.
- Q2 revenue surged 35% to $1.55 billion, beating expectations
- Raised fiscal 2026 product revenue forecast to $6.1 billion
- AI tool adoption accelerating, with 9,100+ CoCo user accounts
Market signal
Snowflake’s latest quarterly performance underscores sustained demand for cloud data warehousing as enterprises invest in building AI-compatible infrastructure. Despite previous investor concerns about autonomous AI agents disrupting traditional software platforms, Snowflake’s customer base grew robustly, adding 692 new customers in the quarter, a 32% increase year-over-year. This growth suggests that organizations are not sidestepping Snowflake but are instead leveraging its platform as a foundation for AI transformation.
The company’s revenue exceeded analyst projections by a notable margin, with product revenue growth anticipated to reach 36% in fiscal 2026. Strong adoption of Snowflake’s AI-enhanced products such as CoCo and CoWork further indicates increasing enterprise reliance on AI-powered analytics and automation within data environments, reinforcing Snowflake’s pivotal role in the evolving cloud ecosystem.
Operator impact
For operators and technology buyers, Snowflake’s results emphasize the strategic value of investing in platforms that not only store and manage data but also integrate AI capabilities directly into their workflows. Snowflake’s expanding suite of AI tools enables customers to embed AI functionality into their data operations, helping companies expedite insights and automate coding tasks, positioning Snowflake as a dual data and AI platform provider.
The improved operating margin guidance—from 10% last year to 14.5% forecast for this fiscal year—reflects Snowflake’s progress towards operational scalability and profitability. This will enhance overall platform stability and may encourage wider adoption across enterprises seeking cost-effective, AI-ready cloud data solutions.
What to watch next
Market participants should closely monitor Snowflake’s progress toward achieving operating profitability in the coming fiscal year, as this will be a key milestone for demonstrating sustainable business model viability in a competitive landscape. Additionally, the growth trajectory of AI-driven offerings such as CoCo and CoWork will be critical, as rapid adoption signals how integral AI integrations are becoming for enterprise customers.
Another important factor to watch is the competitive response from major peers like Microsoft and Databricks and the impact of large language model-driven cost optimization by Snowflake customers. While CEO Sridhar Ramaswamy views these trends as growth opportunities, how these dynamics play out could reshape pricing models and customer engagement strategies within the cloud data warehousing market.