Snowflake’s stock price (NYSE: SNOW) is flying pre-market, up 38% at $242 off the back of a resounding earnings beat. The company also unveiled a massive cloud infrastructure partnership, sending shares soaring and resetting Wall Street’s narrative around the company’s AI-driven future.
The dramatic move has followed fiscal first-quarter results that exceeded expectations across every major metric, coupled with raised full-year guidance and a strategic $6 billion commitment to Amazon Web Services.
Beat and Raise Flips Sceptics
Snowflake reported first-quarter revenue of $1.39 billion, comfortably ahead of the $1.32 billion consensus estimate and representing 34% year-over-year growth. Product revenue specifically grew 34% to roughly $1.33 billion, accelerating from the high-twenties to low-thirties percentage range that had characterized recent quarters. Non-GAAP earnings per share came in at $0.39, beating the Street’s $0.32 estimate by 22% and dramatically exceeding earlier projections that had been as low as $0.14.
The earnings surprise quality impressed markets that had grown sceptical of Snowflake’s ability to sustain momentum amid rising competition from hyperscalers and concerns over enterprise spending optimization. Management’s decision to raise annual product revenue guidance signalled renewed confidence in the durability of demand, particularly from AI and machine learning workloads that are increasingly driving consumption on the platform.
The AWS partnership announcement provided tangible evidence of that AI-driven growth trajectory. Under the multi-year strategic collaboration, Snowflake committed to $6 billion in infrastructure and services spending over five years, while deepening technical integrations around generative and agentic AI capabilities. The agreement expands use of AWS Graviton compute architecture and establishes enhanced joint go-to-market initiatives through AWS Marketplace, designed to accelerate enterprise migration from AI experimentation to production deployment.
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Markets interpreted the AWS deal as validation of Snowflake’s positioning in the AI infrastructure stack rather than a sign of vulnerability to hyperscaler competition. The scale of the commitment underscores management’s conviction that data and AI workloads will continue ramping substantially, justifying significant upfront infrastructure investment.
Company executives emphasized the growing traction of Snowflake’s AI product suite during the earnings call, highlighting rapid adoption of Cortex and Snowflake Intelligence platforms. The quarter also featured the acquisition of Natoma, a governance platform designed to extend security and connectivity to AI agents operating within enterprise environments. Management noted that thousands of customers now run AI workloads weekly on Snowflake, with AI-related revenue already reaching meaningful scale.
The consumption-based business model that once raised concerns about revenue predictability is now being reframed as an advantage in the AI era. As enterprises scale machine learning and generative AI initiatives, Snowflake’s usage-based pricing captures incremental value automatically, without requiring contract renegotiations. Management’s raised guidance suggests this dynamic is playing out across the customer base, with AI adoption driving higher-than-anticipated consumption.
What Next?
Price Targets
Looking ahead, management’s raised guidance sets a high bar for the remainder of fiscal 2027. The company must deliver on ambitious AI product rollmaps while integrating acquisitions like Natoma and managing the complexity of scaling infrastructure commitments. Any deceleration in AI workload growth or signs of enterprise optimization could quickly reverse sentiment and compress multiples back toward historical ranges.
Analyst commentary following the print has been broadly positive, with several firms raising price targets to reflect the improved growth outlook and AI positioning. However, most maintain that valuation leaves little room for disappointment, emphasizing that the investment case hinges on sustained execution and continued AI adoption acceleration.
The earnings report and AWS partnership have undeniably shifted sentiment in Snowflake, but whether the dramatic overnight move can hold will depend on execution from here. SNOW now sits at a 2026 high, as the 19.13% YTD decline leading into the print has been flipped on it’s head. Volatility was expected around earnings, but this move is well outside of range, potentially catching some leveraged short traders offside, and with forced liquidations.
Bull Case:
- Revenue growth re-accelerated above 30% with clear AI workload momentum
- Raised full-year guidance signals management confidence in durable demand trajectory
- $6 billion AWS deal validates AI infrastructure thesis and deepens hyperscaler partnership
- Thousands of customers running production AI workloads demonstrate product-market fit
- Multi-cloud neutrality and governance capabilities differentiate versus hyperscaler native offerings
Bear Case:
- Valuation leaves minimal room for execution missteps or growth deceleration
- $6 billion AWS commitment may pressure gross margins and increase hyperscaler dependency
- Intense competition from AWS, Azure, GCP and Databricks threatens market share
- Consumption model remains vulnerable to enterprise optimization cycles and macro headwinds
- Elevated stock-based compensation continues to dilute shareholder value creation
