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- EPS and total revenue edged past expectations, with product revenue - the core demand gauge - reaching $1.23 bln, up 30% yr/yr and topping the company's $1.195-$1.200 bln guidance.
- SNOW posted its strongest quarter for net new customers at 740 adds (up 40% yr/yr, including 15 Global 2000 firms), a record 56 customers over $10 mln in trailing 12-month spend (up 56%), and its biggest-ever deal exceeding $400 mln in total contract value, plus seven nine-figure contracts.
- RPO surged 42% yr/yr to $9.77 bln, fueled by massive multi-year commitments reflecting customer buy-in to SNOW's AI roadmap. Net revenue retention held steady at a healthy 125%, driven by core business stability and AI workload expansion.
- SNOW's AI traction accelerated, with over 9,100 accounts using AI features, up sharply sequentially, including general availability of Cortex Code (now aiding 4,400+ customers in rapid app development) and Snowflake OpenFlow, alongside a $200 mln OpenAI partnership expansion bringing native models to the platform.
- For Q1, SNOW guided product revenue to $1.262-$1.267 bln (approximately 27% yr/yr growth, a modest deceleration but in line with its conservative philosophy) and non-GAAP operating margin to 9%.
- FY27 product revenue outlook is $5.66 bln (27% growth, with Observe acquisition adding about 1 point), non-GAAP operating margin to 12.5% (up from 10.5% in FY26), and adjusted free cash flow margin to 23% (including Observe headwind).
Briefing.com Analyst Insight
SNOW's post-earnings surge reflects validation of its AI leadership, with Q4 delivering 30% product growth at scale, record expansions, and RPO acceleration amid 430+ product launches yearly. While FY27 guides 27% growth conservatively (versus FY26's step-up), AI agents like Cortex Code and Intelligence are transforming workflows -- compressing development cycles 5x+ for customers and internally -- positioning SNOW as the enterprise control plane for agentic AI. Strong sales execution, stable NRR, and margin discipline (SBC dropping to 27% of revenue) counter macro caution, with upside from AI adoption likely to beat patterns-based forecasts as interoperability and observability unlock new workloads.