Snowflake (SNOW) Operating Leases (2020 - 2026)
Snowflake (SNOW) posted Operating Leases of $420.04 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.0% from $378.55 million a year earlier but down 3.3% from the prior quarter.
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Analysis
Snowflake (SNOW) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake's Operating Leases came in at $411.69 million, up 9.0% from FY2025.
- Annual Operating Leases has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 17.4% (FY2021 to FY2026).
- In prior fiscal years, Snowflake's Operating Leases was $377.82 million in FY2025 (+48.7%), $254.04 million in FY2024 (+13.2%), $224.36 million in FY2023 (+23.8%) and $181.2 million in FY2022 (-2.0%).
- Quarterly Operating Leases has run from a low of $178.7 million in fiscal Q3 2022 to a high of $434.41 million in fiscal Q1 2027 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last 17 quarters, with growth averaging 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2026, with growth of 52.3%; the weakest was fiscal Q3 2022, with a decline of 4.3%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $434.41 million (Q1 2027), $411.69 million (Q4 2026) and $367.66 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.72 Bn | 249.79 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 238.73 Bn | 219.14 Bn | 1.10 Bn |
| 3 | Fortinet | 127.27 Bn | 113.20 Bn | 1.64 Bn |
| 4 | Snowflake | 110.23 Bn | 97.55 Bn | 1.04 Bn |
| 5 | Datadog | 89.17 Bn | 70.81 Bn | 881.34 Mn |
| 6 | Zscaler | 33.92 Bn | 20.04 Bn | - |
| 7 | Okta | 33.82 Bn | 23.92 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 33.04 Bn | 27.56 Bn | 546.45 Mn |
| 9 | MongoDB | 27.87 Bn | 18.34 Bn | 569.77 Mn |
| 10 | F5 | 25.05 Bn | 19.46 Bn | 711.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 420.04 Mn |
| Apr 30, 2026 | 434.41 Mn |
| Jan 31, 2026 | 411.69 Mn |
| Oct 31, 2025 | 367.66 Mn |
| Jul 31, 2025 | 378.55 Mn |
| Apr 30, 2025 | 377.07 Mn |
| Jan 31, 2025 | 377.82 Mn |
| Oct 31, 2024 | 287.88 Mn |
| Jul 31, 2024 | 279.97 Mn |
| Apr 30, 2024 | 247.50 Mn |
| Jan 31, 2024 | 254.04 Mn |
| Oct 31, 2023 | 253.03 Mn |
| Jul 31, 2023 | 263.01 Mn |
| Apr 30, 2023 | 225.65 Mn |
| Jan 31, 2023 | 224.36 Mn |
| Oct 31, 2022 | 225.01 Mn |
| Jul 31, 2022 | 215.15 Mn |
| Apr 30, 2022 | 179.25 Mn |
| Jan 31, 2022 | 181.20 Mn |
| Oct 31, 2021 | 178.70 Mn |
API Access
Snowflake Operating Leases 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=operating-leases&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();