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Loading the company model, latest SEC filing and business assumptions.
Snowflake guides only one year ahead (non-GAAP). This estimate follows sell-side revenue consensus to FY2030 (about $12.2B) and takes the GAAP operating margin to 13%, where ServiceNow stood at the same size. Every input is cited on the full report.
Research updated 2026-10-23 00:35:16 UTCBUY below 80% of FV · WATCH from 80% to 150% · SELL above 150%. Thresholds use unrounded fair values.
REPORTED FIGURES / LATEST SEC FILING
SEC 10-Q ↗ · quarter ended 2026-07-31 · filed 2026-09-04 · checked 2026-10-29 01:22 UTC; an earnings release published before the 10-Q or 10-K is not included.
RECONCILED Business rows reconcile to SEC revenue from the same filing and reporting period. Unverified segment profits remain blank.
Non-overlapping reported revenue lines, 2026-05-01 to 2026-07-31. Reported results; the valuation above uses the dated research assumptions.
| Business | Revenue | Share of revenue | Operating profit | Margin |
|---|---|---|---|---|
| Product revenue | $1.492B | 96.4% | — | — |
| Professional services and other revenue | $0.055B | 3.6% | — | — |
| Consolidated revenue | $1.547B | 100% | — |
Accession 0001640147-26-000037
Disaggregation of Revenue (USD thousands): Three Months Ended July 31, Six Months Ended July 31, 2026 2025 2026 2025 Product revenue $ 1,491,861 $ 1,090,496 $ 2,826,190 $ 2,087,309; Total $ 1,546,793 $ 1,144,969 $ 2,937,744 $ 2,187,043
Disaggregation of Revenue (USD thousands): Three Months Ended July 31, Six Months Ended July 31, 2026 2025 2026 2025 Professional services and other revenue 54,932 54,473 111,554 99,734; Total $ 1,546,793 $ 1,144,969 $ 2,937,744 $ 2,187,043
THE COMPANY
Snowflake operates a cloud data and AI platform on which customers store, process, analyze, share, and build applications with data. Customers mainly pay as they consume compute, storage, and data-transfer resources, rather than recognizing a fixed subscription evenly over its term. Snowflake reports one operating and reportable segment. Product revenue and professional services and other revenue are two revenue categories within that segment; data engineering, analytics, AI, applications, and collaboration are overlapping uses of the product platform, not separately reported segments or revenue streams to add again.
Businesses: Product platform · consumption of data and AI workloads · Professional services and other · implementation and training
EVIDENCE
Read the full valuation for each business, the assumptions behind it and the cited evidence.