Snowflake (SNOW) Depreciation and Depletion (2019 - 2026)
Snowflake's Depreciation and Depletion was $26.4 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.2% from $27 million a year earlier and down 2.2% from the prior quarter.
Snowflake (SNOW) Depreciation and Depletion (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Snowflake's Depreciation and Depletion was $112 million through Jul 31, 2026, up 12.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $110.3 million, up 28.9% from FY2025.
- Depreciation and Depletion has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 73.6% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $85.6 million in FY2025 (+127.1%), $37.7 million in FY2024 (+52.6%), $24.7 million in FY2023 (+80.3%) and $13.7 million in FY2022 (+95.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q1 2026.
- Compared with a year earlier, Depreciation and Depletion was higher in seven of the last eight quarters, with growth averaging 46.0%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q2 2025 (growth of 149.4%); the worst was fiscal Q2 2027 (a decline of 2.2%).
- Per Business Quant data, SNOW's Depreciation and Depletion in the three fiscal quarters before Q2 2027 was $27 million (Q1 2027), $29.5 million (Q4 2026) and $29.1 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 31.50 Mn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 26.40 Mn |
| 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
| Date | Value |
|---|---|
| Jul 31, 2026 | 26.40 Mn |
| Apr 30, 2026 | 27.00 Mn |
| Jan 31, 2026 | 29.50 Mn |
| Oct 31, 2025 | 29.10 Mn |
| Jul 31, 2025 | 27.00 Mn |
| Apr 30, 2025 | 24.70 Mn |
| Jan 31, 2025 | 24.60 Mn |
| Oct 31, 2024 | 23.00 Mn |
| Jul 31, 2024 | 21.20 Mn |
| Apr 30, 2024 | 16.80 Mn |
| Jan 31, 2024 | 11.70 Mn |
| Oct 31, 2023 | 10.00 Mn |
| Jul 31, 2023 | 8.50 Mn |
| Apr 30, 2023 | 7.60 Mn |
| Jan 31, 2023 | 7.60 Mn |
| Oct 31, 2022 | 6.60 Mn |
| Jul 31, 2022 | 5.90 Mn |
| Apr 30, 2022 | 4.60 Mn |
| Jan 31, 2022 | 3.80 Mn |
| Oct 31, 2021 | 3.60 Mn |
Snowflake Depreciation and Depletion 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=depreciation-and-depletion&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();