Snowflake (SNOW) Revenue (2019 - 2026)
Snowflake's (SNOW) quarterly Revenue came in at $1.5 billion in Q3 2026, up 35.09% year-over-year from $1.1 billion in Q3 2025, and up 11.2% quarter-over-quarter from $1.4 billion in Q2 2026.
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Analysis
Snowflake (SNOW) Revenue (2019 - 2026) Analysis & Trends
Snowflake has disclosed Revenue across 8 years of filings, most recently posting $1.5 billion for Q3 2026.
- In Q3 2026, Revenue rose 35.09% year-over-year to $1.5 billion; the TTM figure through Jul 2026 stood at $5.4 billion (up 32.04% YoY), while the FY2026 annual figure was $4.7 billion, up 29.16% from the prior year.
- Revenue came in at $1.5 billion for Q3 2026 at Snowflake, up from $1.4 billion in the prior quarter.
- In the past five years, Revenue ranged from a high of $1.5 billion in Q3 2026 to a low of $383.8 million in Q1 2022.
- Average Revenue over 5 years is $868.6 million, with a median of $828.7 million recorded in 2024.
- Year-over-year, Revenue surged 101.49% in 2022 and rose 25.75% in 2025.
- Over 5 years, Revenue stood at $557.0 million in 2022, then jumped by 31.8% to $734.2 million in 2023, then increased by 28.32% to $942.1 million in 2024, then climbed by 28.75% to $1.2 billion in 2025, then gained by 27.53% to $1.5 billion in 2026.
- Per Business Quant data, the three most recent Revenue figures were $1.5 billion in Q3 2026, $1.4 billion in Q2 2026, and $1.3 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 771.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 805.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 4.62 Bn |
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();