Snowflake (SNOW) — Company Research

Last Updated: 21 May 2026

Snowflake is one of the defining cloud-software companies of the data era: a consumption-based "data cloud" that lets enterprises store, govern, share and now run AI workloads on their data across Amazon, Microsoft and Google clouds. Fiscal 2026 (the year ended 31 January 2026) was another year of roughly 29% growth, with product revenue of $4.47 billion and total revenue of $4.68 billion, while remaining performance obligations — contracted future revenue not yet recognised — jumped 42% to $9.77 billion. The investment debate is straightforward: Snowflake combines durable top-line growth, strong free cash flow and a widening AI product suite against persistent GAAP losses (driven by heavy stock-based compensation), a premium valuation and an intensifying fight with Databricks and the hyperscalers. This report lays out the figures from Snowflake's SEC filings and other primary sources.

1. Company Snapshot

2. Bull & Bear Case

Bull Case

• Durable growth at scale: FY2026 product revenue grew 29% to $4.47bn and total revenue reached $4.68bn — a rare combination of size and consistent high-20s percent growth in enterprise software.
• Deep backlog and stickiness: Remaining performance obligations rose 42% to $9.77bn and net revenue retention was 125%, showing existing customers keep spending more each year.
• Strong cash generation: Despite GAAP losses, Snowflake produced $1,221.9m of operating cash flow and $1,120.3m of free cash flow (a 24% FCF margin) in FY2026.
• AI and agentic optionality: Cortex AI, the general availability of Cortex Agents, and acquisitions of Observe (observability) and Crunchy Data (PostgreSQL) extend the platform into AI and new workloads.
• Data gravity moat: A consumption model layered on governed, cross-cloud data creates switching costs — once enterprise data and AI pipelines live in Snowflake, they are hard to move.

Bear Case

• Persistent GAAP losses: Snowflake reported a $1,331.6m GAAP net loss in FY2026 (-$3.95 per share), driven by very high stock-based compensation that also dilutes shareholders.
• Premium valuation: At roughly 12x trailing sales and about 52x free cash flow, the shares price in years of continued execution with little margin for error.
• Formidable competition: Databricks is now larger by private valuation ($134bn) with a $5.4bn revenue run-rate growing 65%, while Microsoft Fabric, Google BigQuery and Amazon Redshift all compete hard.
• Consumption-model variability: Because revenue is tied to customer usage rather than fixed subscriptions, a tightening of enterprise IT budgets can slow growth quickly.
• Acquisition-led strategy: A run of deals (Observe ~$1bn, Crunchy Data, Datavolo) adds integration risk and an approximate 150 basis-point free-cash-flow headwind in FY2027.

3. Revenue Segments

Snowflake operates as effectively a single reportable segment, but its revenue splits cleanly into platform consumption and the services that support it. The breakdown below is for full-year FY2026 against total revenue of $4,683.9m.

4. Business Model

Snowflake sells access to a cloud-native data platform on a pay-for-what-you-use basis, which sets it apart from traditional seat- or subscription-based software.

How it makes money. The vast majority of revenue (about 95%) is product revenue, recognised based on customers' actual consumption of compute, storage and data transfer rather than the size or duration of a contract. Customers typically commit to a capacity contract and then draw down against it, often consuming more than they originally contracted. Because revenue follows usage, metrics like net revenue retention (125% in FY2026) and remaining performance obligations ($9.77bn) are the clearest signals of health.

Unit economics. Snowflake runs at a high non-GAAP product gross margin (around 75–76%) and converts revenue to cash efficiently — FY2026 free cash flow margin was 24%. The gap between strong cash flow and large GAAP losses is explained almost entirely by stock-based compensation, a structural feature of high-growth software that investors must weigh against the dilution it causes.

The moat. Snowflake's edge is data gravity and governance: a single, governed source of truth that works across Amazon, Microsoft and Google clouds, with secure data sharing and a growing marketplace. As customers build AI pipelines and applications on top of their Snowflake data, the cost and risk of switching rise.

5. Financial Health

The table below shows five years of results. Snowflake has compounded revenue at a high rate while remaining GAAP-unprofitable, with losses widening in absolute terms as the company invests and issues equity. All figures are in US$ millions except per-share data, sourced from Snowflake earnings releases and 10-K filings. Snowflake reports positive non-GAAP profitability; full-year non-GAAP operating income was $489.7m (a 10% margin) in FY2026, and quarterly non-GAAP EPS ranged from $0.24 to $0.35 during the year (shown in the quarterly table).

The quarterly table below shows the four most recent reported quarters, with the full-year FY2026 total in bold. Revenue is total revenue; "Adjusted EPS" is non-GAAP diluted EPS. Note the contrast between consistent non-GAAP profits and ongoing GAAP losses.

Balance-sheet and cash-flow highlights for FY2026: operating cash flow of $1,221.9m, free cash flow of $1,120.3m, cash and investments of $4,784.7m (cash and equivalents $2,828.2m, short-term investments $1,201.5m, long-term investments $755.0m), convertible senior notes of $2,279.8m, depreciation and amortisation of $220.4m, and capital expenditure of $101.6m. Snowflake carried no debt until it issued $2.3bn of 0% convertible senior notes (due 2027 and 2029) during FY2025.

6. Valuation

Raw metrics, May 2026. Not opinions on whether the stock is cheap or expensive.

7. What They're Building

Snowflake's central thrust is turning its data cloud into an enterprise AI platform. Cortex AI brings large-language-model and machine-learning capabilities directly to governed data, and Cortex Agents — reached general availability in November 2025 — let customers build agentic workflows that reason over their own data. Around this, Snowflake has been acquiring to fill gaps: it announced its largest deal to date, the roughly $1bn purchase of observability platform Observe in January 2026; agreed to buy Crunchy Data at its June 2025 Summit to add enterprise PostgreSQL (marketed as Snowflake Postgres); and bought Datavolo to strengthen data engineering for AI pipelines.

Beyond AI, Snowflake continues to broaden the core platform: open table formats such as Apache Iceberg for interoperability, Snowpark for Python and machine-learning workloads, secure data sharing and an expanding marketplace, and unstructured-data support so customers can run AI across documents and other non-tabular sources. The strategy is to keep more enterprise data — and now AI compute on that data — inside Snowflake. Readers can follow price action on our Live Charts page and upcoming macro releases on the Economic Calendar.

8. Competitive Landscape

Snowflake competes with a pure-play data-and-AI challenger and with the cloud hyperscalers that bundle competing services. The table below lists key competitors with current valuations and a recent metric for context.

9. Leadership & Ownership

Snowflake is led by CEO Sridhar Ramaswamy, who took over from Frank Slootman in February 2024; Slootman remains Chairman of the Board, and long-tenured CFO Mike Scarpelli runs finance. Co-founders Benoit Dageville and Thierry Cruanes continue in senior product and technology roles, giving the company strong technical continuity. No significant insider transactions and no material insider open-market dealing were identified in public filings during the period reviewed; Snowflake's executives, including the chief executive, generally transact through pre-arranged 10b5-1 plans rather than discretionary open-market buying or selling. Institutional investors hold the large majority of the freely traded shares, typical for a company of Snowflake's size and profile.

10. Risks

• Competition (Operational): Databricks — now larger by private valuation and growing faster — plus Microsoft Fabric, Google BigQuery and Amazon Redshift threaten pricing and share as platform features converge.
• GAAP unprofitability and dilution (Financial): Large GAAP losses driven by stock-based compensation persist, and ongoing equity issuance dilutes existing shareholders.
• Valuation (Market): At roughly 12x sales and ~52x free cash flow, the shares are priced for sustained high growth; any deceleration could compress the multiple sharply.
• Consumption-model variability (Operational): Usage-based revenue is sensitive to customer activity, so softer enterprise IT spending can slow growth faster than in subscription models.
• Macro and IT-budget cycles (Macro): Enterprise data and AI spending depends on broader economic conditions and capital-spending appetite.
• Execution and integration (Operational): A run of acquisitions (Observe, Crunchy Data, Datavolo) adds integration risk and a near-term free-cash-flow headwind.

11. Recent Developments

• 25 Feb 2026 — Q4 and full-year FY2026 results. Full-year total revenue of $4.68bn with product revenue up 29%, RPO up 42% to $9.77bn, and free cash flow of $1.12bn; the company guided to FY2027 product revenue of about $5.66bn (up 27%).
• 08 Jan 2026 — Observe acquisition. Snowflake announced its intent to acquire observability platform Observe for a reported ~$1bn, its largest deal to date, to deliver AI-powered observability at enterprise scale.
• 04 Nov 2025 — Cortex Agents general availability. Snowflake made its agentic AI capabilities generally available, alongside a wave of AI announcements at its Build 2025 developer conference.
• Jun 2025 — Snowflake Summit. The company unveiled agentic AI launches and announced its intent to acquire Crunchy Data to add enterprise-grade PostgreSQL, marketed as Snowflake Postgres.
• 2025 — Datavolo acquisition. Snowflake added Datavolo to strengthen data-engineering and connectivity for AI pipelines, part of a broader run of AI-focused deals.

12. Key Dates

• 27 May 2026 — Q1 FY2027 earnings results (after US market close)
• Expected late Aug 2026 — Q2 FY2027 earnings results
• Expected mid-2026 — annual shareholder meeting (proxy filed May 2026); note Snowflake pays no dividend, so there is no ex-dividend date

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