Snowflake (SNOW) Other Operating Expenses (2019 - 2026)
Snowflake (SNOW) reported Other Operating Expenses of $611.62 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 21.8% from $501.96 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Snowflake (SNOW) Other Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Snowflake's Other Operating Expenses came in at $2.3 billion, up 25.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.06 billion, up 23.3% from FY2025.
- Other Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 33.9% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $1.67 billion in FY2025 (+20.1%), $1.39 billion in FY2024 (+25.8%), $1.11 billion in FY2023 (+48.7%) and $743.97 million in FY2022 (+55.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2020.
- Year over year, Other Operating Expenses has now increased in each of the last 24 quarters, with growth averaging 23.2% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 14.4% (fiscal Q1 2026) and 50.2% (fiscal Q2 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $588.95 million (Q1 2027), $551.26 million (Q4 2026) and $550.36 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 611.62 Mn |
| Apr 30, 2026 | 588.95 Mn |
| Jan 31, 2026 | 551.26 Mn |
| Oct 31, 2025 | 550.36 Mn |
| Jul 31, 2025 | 501.96 Mn |
| Apr 30, 2025 | 458.55 Mn |
| Jan 31, 2025 | 432.68 Mn |
| Oct 31, 2024 | 437.96 Mn |
| Jul 31, 2024 | 400.63 Mn |
| Apr 30, 2024 | 400.82 Mn |
| Jan 31, 2024 | 361.82 Mn |
| Oct 31, 2023 | 355.08 Mn |
| Jul 31, 2023 | 343.29 Mn |
| Apr 30, 2023 | 331.56 Mn |
| Jan 31, 2023 | 303.47 Mn |
| Oct 31, 2022 | 284.48 Mn |
| Jul 31, 2022 | 274.65 Mn |
| Apr 30, 2022 | 243.91 Mn |
| Jan 31, 2022 | 203.29 Mn |
| Oct 31, 2021 | 190.97 Mn |
API Access
Snowflake Other Operating Expenses 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=other-operating-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();