Snowflake (SNOW) Cost of Revenue (2019 - 2026)
Snowflake's (SNOW) quarterly Cost of Revenue came in at $510.1 million in Q3 2026, up 37.19% year-over-year from $371.8 million in Q3 2025, and up 9.81% quarter-over-quarter from $464.5 million in Q2 2026.
Snowflake (SNOW) Cost of Revenue (2019 - 2026) Analysis & Trends
Snowflake has disclosed Cost of Revenue across 8 years of filings, most recently posting $510.1 million for Q3 2026.
- In Q3 2026, Cost of Revenue rose 37.19% year-over-year to $510.1 million; the TTM figure through Jul 2026 stood at $1.8 billion (up 30.34% YoY), while the FY2026 annual figure was $1.5 billion, up 26.6% from the prior year.
- Cost of Revenue came in at $510.1 million for Q3 2026 at Snowflake, up from $464.5 million in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $510.1 million in Q3 2026 to a low of $134.2 million in Q1 2022.
- Average Cost of Revenue over 5 years is $288.3 million, with a median of $272.5 million recorded in 2024.
- Year-over-year, Cost of Revenue surged 63.24% in 2022 and increased 17.58% in 2024.
- Over 5 years, Cost of Revenue stood at $190.7 million in 2022, then gained by 20.04% to $228.9 million in 2023, then surged by 40.16% to $320.9 million in 2024, then increased by 21.81% to $390.9 million in 2025, then jumped by 30.5% to $510.1 million in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $510.1 million in Q3 2026, $464.5 million in Q2 2026, and $426.3 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn | 510.08 Mn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn | 202.01 Mn |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn | 63.10 Mn |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn | 121.93 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn | 131.72 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn | 167.00 Mn |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | 3.84 Mn |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 510.08 Mn |
| Apr 30, 2026 | 464.50 Mn |
| Jan 31, 2026 | 426.33 Mn |
| Oct 31, 2025 | 390.87 Mn |
| Jul 31, 2025 | 371.82 Mn |
| Apr 30, 2025 | 348.79 Mn |
| Jan 31, 2025 | 333.18 Mn |
| Oct 31, 2024 | 320.89 Mn |
| Jul 31, 2024 | 288.08 Mn |
| Apr 30, 2024 | 272.52 Mn |
| Jan 31, 2024 | 241.80 Mn |
| Oct 31, 2023 | 228.95 Mn |
| Jul 31, 2023 | 218.39 Mn |
| Apr 30, 2023 | 209.41 Mn |
| Jan 31, 2023 | 205.66 Mn |
| Oct 31, 2022 | 190.72 Mn |
| Jul 31, 2022 | 173.23 Mn |
| Apr 30, 2022 | 147.93 Mn |
| Jan 31, 2022 | 134.18 Mn |
| Oct 31, 2021 | 120.79 Mn |
Snowflake Cost of 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=cost-of-revenue&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();