Snowflake (SNOW) Operating Leases (2020 - 2026)
Snowflake's (SNOW) quarterly Operating Leases came in at $420.0 million in Q3 2026, up 10.96% year-over-year from $378.5 million in Q3 2025, and down 3.31% quarter-over-quarter from $434.4 million in Q2 2026.
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Analysis
Snowflake (SNOW) Operating Leases (2020 - 2026) Analysis & Trends
Snowflake has disclosed Operating Leases across 7 years of filings, most recently posting $420.0 million for Q3 2026.
- In Q3 2026, Operating Leases rose 10.96% year-over-year to $420.0 million; the TTM figure through Jul 2026 stood at $420.0 million (up 10.96% YoY), while the FY2026 annual figure was $411.7 million, up 8.96% from the prior year.
- Operating Leases came in at $420.0 million for Q3 2026 at Snowflake, down from $434.4 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $434.4 million in Q2 2026 to a low of $179.3 million in Q2 2022.
- Average Operating Leases over 5 years is $294.9 million, with a median of $263.0 million recorded in 2023.
- Year-over-year, Operating Leases retreated 2.0% in 2022 and jumped 52.35% in 2025.
- Over 5 years, Operating Leases stood at $225.0 million in 2022, then gained by 12.45% to $253.0 million in 2023, then gained by 13.77% to $287.9 million in 2024, then climbed by 27.71% to $367.7 million in 2025, then increased by 14.25% to $420.0 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $420.0 million in Q3 2026, $434.4 million in Q2 2026, and $411.7 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 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();