Snowflake (SNOW) Capital Expenditures (2020 - 2026)
Snowflake (SNOW) reported Capital Expenditures of $7.55 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 54.7% from $16.67 million a year earlier and down 27.7% from the prior quarter.
Snowflake (SNOW) Capital Expenditures (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Snowflake's Capital Expenditures came in at $57.98 million, down 32.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $101.63 million, up 119.6% from FY2025.
- Capital Expenditures has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 23.7% (FY2021 to FY2026).
- By fiscal year, Capital Expenditures came in at $46.28 million in FY2025 (+31.9%), $35.09 million in FY2024 (+39.6%), $25.13 million in FY2023 (+54.9%) and $16.22 million in FY2022 (-53.7%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Capital Expenditures since fiscal Q2 2025.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 54.0%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q3 2023 (growth of 272.7%); the low point was fiscal Q3 2022 (a decline of 86.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $10.45 million (Q1 2027), $16.07 million (Q4 2026) and $23.91 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 21.05 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -1.68 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 2.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.55 Mn |
| Apr 30, 2026 | 10.45 Mn |
| Jan 31, 2026 | 16.07 Mn |
| Oct 31, 2025 | 23.91 Mn |
| Jul 31, 2025 | 16.67 Mn |
| Apr 30, 2025 | 44.99 Mn |
| Jan 31, 2025 | 11.28 Mn |
| Oct 31, 2024 | 13.44 Mn |
| Jul 31, 2024 | 5.04 Mn |
| Apr 30, 2024 | 16.52 Mn |
| Jan 31, 2024 | 13.07 Mn |
| Oct 31, 2023 | 8.75 Mn |
| Jul 31, 2023 | 6.30 Mn |
| Apr 30, 2023 | 6.97 Mn |
| Jan 31, 2023 | 5.36 Mn |
| Oct 31, 2022 | 8.51 Mn |
| Jul 31, 2022 | 3.85 Mn |
| Apr 30, 2022 | 7.41 Mn |
| Jan 31, 2022 | 4.01 Mn |
| Oct 31, 2021 | 2.28 Mn |
Snowflake Capital Expenditures 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=capital-expenditures&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();