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Snowflake will announce Q1 fiscal 2027 earnings on May 27 after the market closes, with the cloud data platform expected to report strong revenue growth fueled by accelerating AI adoption and enterprise demand. The company has guided for product revenue between $1.262 billion and $1.267 billion, representing approximately 27% year-over-year growth, while analysts forecast adjusted EPS of $0.32 on $1.32 billion in total revenue.
🔥 Quick Facts
- Earnings announcement: May 27, 2026 after market close
- Guided Q1 product revenue: $1.262–$1.267 billion (27% YoY growth)
- Analyst EPS consensus: $0.32 per share
- AI revenue run rate surpassed $100 million in Q4 2026
- Remaining performance obligations reached $9.77 billion (42% YoY growth)
Snowflake’s Strategic Pivot to Enterprise AI
Snowflake has transformed from a pure data cloud provider into an AI infrastructure platform, with Cortex AI and Snowflake Intelligence driving incremental consumption across its customer base. In Q4 fiscal 2026, the company achieved a $100 million AI revenue run rate a quarter ahead of schedule, signaling accelerated adoption of its generative AI and data analytics capabilities. This strategic pivot positions Snowflake at the intersection of enterprise data management and artificial intelligence—two of the highest-growth markets in technology.
The company’s net revenue retention rate of 125% demonstrates exceptional customer expansion, where existing clients increase spending faster than new customer acquisition. This metric reflects strong demand for AI-powered features, particularly among large enterprises modernizing their data infrastructure.
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AI Momentum Accelerating Through Q1
Bank of America recently adjusted its price target for Snowflake stock ahead of the earnings call, citing the company’s ability to monetize AI capabilities at faster-than-expected velocity. The 31% expected year-over-year increase in AI-related usage on the Snowflake platform in 2026 represents one of the strongest growth signals in enterprise software. As companies integrate large language models and agentic AI systems into business processes, Snowflake’s cloud infrastructure serves as the foundation for data governance and model training—critical components of enterprise AI deployment.
The company’s Accelerate 2026 virtual event series further emphasizes this positioning, highlighting how six major industries are building foundations for AI and agentic futures. This narrative aligns with broader investor interest in infrastructure plays benefiting from AI adoption.
Financial Metrics and Guidance Analysis
| Metric | Q1 FY2027 Guidance | Prior Quarter (Q4 FY2026) | YoY Growth |
| Product Revenue | $1.262–$1.267B | $1.23B | ~27% |
| Analyst Revenue Consensus | $1.32B | $1.28B (actual) | ~30% |
| EPS (adjusted) | $0.32 | $0.30 | +7% |
| AI Revenue Run Rate | TBA | $100M+ | Expected to increase |
| RPO (Remaining Perf. Obligations) | TBA | $9.77B | +42% |
Snowflake’s FY2027 full-year product revenue guidance of $5.66 billion exceeds Wall Street consensus of $5.50 billion, reflecting confidence in sustained demand. The upward guidance suggests management expects the 27% growth in Q1 to persist through higher-margin AI-driven workloads, where the company captures more value per unit of compute.
“Snowflake is leveraging its Cortex AI suite to transition from a data cloud leader into a dominant force in the enterprise AI infrastructure market.”
— MarketBeat Analysis, April 2026
Implications for Enterprise AI Infrastructure
The May 27 earnings call will likely focus on Cortex adoption metrics, customer expansion in AI workloads, and competitive positioning against rivals like Databricks and emerging AI startups. Investors will also scrutinize remaining performance obligations (RPO)—now at $9.77 billion, up 42% year-over-year—which indicate strong future revenue visibility. The company’s ability to convert RPO into reported revenue while expanding margins will determine whether Snowflake sustains its valuation premium.
Given the broader AI infrastructure boom reflected in record earnings from semiconductor leaders, Snowflake’s positioning as a foundational data and analytics layer—not just a computing provider—presents a distinct competitive moat. The company’s 125% net revenue retention signals that existing customers view Snowflake as essential to their AI strategies, not as a commodity vendor.
What Happens After May 27?
The earnings announcement will determine whether Snowflake maintains investor confidence heading into the second half of fiscal 2027. Key watch items include whether actual AI revenue exceeds the 31% projected increase, whether customer wins in financial services and healthcare accelerate (following trends in enterprise AI adoption across industries), and whether the company raises full-year guidance further. Markets have historically rewarded Snowflake for beating guidance and raising outlooks, suggesting that May 27 could present a significant rerating opportunity if the company demonstrates sustained-high-velocity AI adoption.
The contrast between Snowflake’s 27% organic growth and the broader SaaS market’s ~12% median growth underscores its premium positioning. Whether that premium compresses or expands depends on execution this quarter.
Sources
- Snowflake Investor Relations – Q1 FY2027 earnings announcement schedule and guidance
- MarketBeat – Analyst consensus expectations and Q1 earnings preview
- Bank of America Equity Research – Price target adjustments and AI momentum assessment
- Reuters – FY2027 full-year product revenue guidance and analyst consensus
- Yahoo Finance – AI Data Cloud expansion metrics and Q4 FY2026 results analysis
