Snowflake (SNOW) Accumulated Expenses (2020 - 2026)
Snowflake (SNOW) recorded Accumulated Expenses of $908.01 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 45.8% from $622.8 million a year earlier and up 11.5% from the prior quarter.
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Analysis
Snowflake (SNOW) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake reported Accumulated Expenses of $879.54 million, up 70.6% from FY2025.
- Annual Accumulated Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 47.7% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $515.45 million in FY2025 (+15.4%), $446.86 million in FY2024 (+66.1%), $269.07 million in FY2023 (+34.1%) and $200.66 million in FY2022 (+60.1%).
- The fiscal Q2 2027 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2020.
- On a year-over-year basis, Accumulated Expenses has increased for 20 consecutive quarters, with growth averaging 44.9% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 15.4% (fiscal Q4 2025) and 92.0% (fiscal Q3 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $814.63 million (Q1 2027), $879.54 million (Q4 2026) and $725.79 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 908.01 Mn |
| Apr 30, 2026 | 814.63 Mn |
| Jan 31, 2026 | 879.54 Mn |
| Oct 31, 2025 | 725.79 Mn |
| Jul 31, 2025 | 622.80 Mn |
| Apr 30, 2025 | 528.38 Mn |
| Jan 31, 2025 | 515.45 Mn |
| Oct 31, 2024 | 485.13 Mn |
| Jul 31, 2024 | 448.93 Mn |
| Apr 30, 2024 | 398.00 Mn |
| Jan 31, 2024 | 446.86 Mn |
| Oct 31, 2023 | 318.28 Mn |
| Jul 31, 2023 | 315.13 Mn |
| Apr 30, 2023 | 275.69 Mn |
| Jan 31, 2023 | 269.07 Mn |
| Oct 31, 2022 | 225.32 Mn |
| Jul 31, 2022 | 209.77 Mn |
| Apr 30, 2022 | 185.28 Mn |
| Jan 31, 2022 | 200.66 Mn |
| Oct 31, 2021 | 163.24 Mn |
API Access
Snowflake Accumulated 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=accumulated-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();