Snowflake (SNOW) Revenue (2019 - 2026)
Snowflake (SNOW) recorded Revenue of $1.55 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 35.1% from $1.14 billion a year earlier and up 11.2% from the prior quarter.
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Analysis
Snowflake (SNOW) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Snowflake's Revenue came in at $5.43 billion as of Jul 31, 2026, up 32.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $4.68 billion, up 29.2% from FY2025.
- Annual Revenue has increased for seven straight fiscal years, with a five-year compound annual growth rate of 51.2% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $3.63 billion in FY2025 (+29.2%), $2.81 billion in FY2024 (+35.9%), $2.07 billion in FY2023 (+69.4%) and $1.22 billion in FY2022 (+106.0%).
- The fiscal Q2 2027 figure is the highest quarterly Revenue in data going back to fiscal Q3 2020.
- On a year-over-year basis, Revenue has increased for 24 consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 25.7% (fiscal Q1 2026) and 109.5% (fiscal Q3 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $1.39 billion (Q1 2027), $1.28 billion (Q4 2026) and $1.21 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 261.23 Bn | 246.30 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 233.89 Bn | 214.29 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 125.38 Bn | 111.31 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 108.45 Bn | 95.77 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 88.65 Bn | 70.29 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Zscaler | 33.05 Bn | 19.16 Bn | - | - |
| 7 | Okta | 32.99 Bn | 23.09 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Axon Enterprise | 32.35 Bn | 26.87 Bn | 546.45 Mn | 904.39 Mn |
| 9 | MongoDB | 27.25 Bn | 17.72 Bn | 569.77 Mn | 771.77 Mn |
| 10 | F5 | 25.14 Bn | 19.55 Bn | 711.51 Mn | 865.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.55 Bn |
| Apr 30, 2026 | 1.39 Bn |
| Jan 31, 2026 | 1.28 Bn |
| Oct 31, 2025 | 1.21 Bn |
| Jul 31, 2025 | 1.14 Bn |
| Apr 30, 2025 | 1.04 Bn |
| Jan 31, 2025 | 986.77 Mn |
| Oct 31, 2024 | 942.09 Mn |
| Jul 31, 2024 | 868.82 Mn |
| Apr 30, 2024 | 828.71 Mn |
| Jan 31, 2024 | 774.70 Mn |
| Oct 31, 2023 | 734.17 Mn |
| Jul 31, 2023 | 674.02 Mn |
| Apr 30, 2023 | 623.60 Mn |
| Jan 31, 2023 | 589.01 Mn |
| Oct 31, 2022 | 557.03 Mn |
| Jul 31, 2022 | 497.25 Mn |
| Apr 30, 2022 | 422.37 Mn |
| Jan 31, 2022 | 383.77 Mn |
| Oct 31, 2021 | 334.44 Mn |
API Access
Snowflake Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "SNOW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();