Snowflake (SNOW) Tax Provisions (2019 - 2026)
Snowflake's Tax Provisions was $3.43 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $62,000 a year earlier.
Powered by 
Analysis
Snowflake (SNOW) Tax Provisions (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Snowflake's Tax Provisions was $13.68 million through Jul 31, 2026, up 302.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $17.13 million, up 316.4% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of 52.7% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $4.11 million in FY2025, -$11.23 million in FY2024, -$18.47 million in FY2023 and $2.99 million in FY2022 (+44.9%).
- Quarterly Tax Provisions has moved between -$26.69 million (fiscal Q1 2023) and $7.65 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in two of the last four quarters, with growth averaging 14.8%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q2 2023 (growth of 648.2%); the worst was fiscal Q2 2026 (a decline of 98.4%).
- Per Business Quant data, SNOW's Tax Provisions in the three fiscal quarters before Q2 2027 was -$1.09 million (Q1 2027), $7.65 million (Q4 2026) and $3.68 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.26 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 5.01 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 10.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 147.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.43 Mn |
| Apr 30, 2026 | -1.09 Mn |
| Jan 31, 2026 | 7.65 Mn |
| Oct 31, 2025 | 3.68 Mn |
| Jul 31, 2025 | 62,000.00 |
| Apr 30, 2025 | 5.73 Mn |
| Jan 31, 2025 | -4.33 Mn |
| Oct 31, 2024 | 1.94 Mn |
| Jul 31, 2024 | 3.79 Mn |
| Apr 30, 2024 | 2.72 Mn |
| Jan 31, 2024 | -4.30 Mn |
| Oct 31, 2023 | 3.39 Mn |
| Jul 31, 2023 | -3.72 Mn |
| Apr 30, 2023 | -6.61 Mn |
| Jan 31, 2023 | 372,000.00 |
| Oct 31, 2022 | 4.01 Mn |
| Jul 31, 2022 | 3.85 Mn |
| Apr 30, 2022 | -26.69 Mn |
| Jan 31, 2022 | 1.55 Mn |
| Oct 31, 2021 | 1.18 Mn |
API Access
Snowflake Tax Provisions 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=tax-provisions&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();