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Snowflake (SNOW): The Consumption Engine AI Workloads Are Fueling
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Snowflake (SNOW): The Consumption Engine AI Workloads Are Fueling

AI workloads growing 3โ€“4x faster than non-AI. Q4 product revenue +30%, RPO +42%, NRR 125%. Full breakdown of GAAP losses and SBC.

May 18, 2026

Core Position

Consumption-native from day one โ€” AI workload growth is revenue growth

Investment Thesis

Snowflake's structure is simple: the more customers query and process data, the more revenue it earns. AI-related workloads are growing 3โ€“4x faster than non-AI, and that consumption flows directly into Snowflake revenue. NRR of 125% means existing customers are spending 25% more than last year. GAAP losses are driven by SBC; non-GAAP operating margin has already crossed 10%.

Key Metrics

Q4 Product Revenue Growth

+30% YoY

RPO

+42% YoY

NRR

125%

AI vs Non-AI Workload Growth

3~4๋ฐฐ

Non-GAAP Op. Margin

10%+

GAAP Op. Income

โ€“$0.88B

FY2026

Bull Case

  • Consumption-based AI workload structure โ€” AI expansion automatically drives revenue
  • NRR 125% โ€” existing customer expansion alone can sustain 25%+ growth
  • RPO +42% โ€” strong future revenue pipeline
  • AI runs inside the data platform โ€” no data movement, better security
  • Non-GAAP profitability positive โ€” trajectory turning constructive

Bear Case

  • GAAP operating losses continuing โ€” SBC still in the hundreds of millions
  • Growth decelerating: FY2024 38% โ†’ FY2026 ~28%
  • Strong competitors (Databricks, BigQuery) pushing hybrid and open-source
  • Consumption model risk โ€” customer spending optimization can slow revenue in downturns
Rating:HOLDSNOW

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