Snowflake (SNOW) Total Liabilities (2020 - 2026)
Snowflake's (SNOW) quarterly Total Liabilities came in at $6.5 billion in Q3 2026, up 12.44% year-over-year from $5.8 billion in Q3 2025, and down 1.11% quarter-over-quarter from $6.6 billion in Q2 2026.
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Analysis
Snowflake (SNOW) Total Liabilities (2020 - 2026) Analysis & Trends
Snowflake has disclosed Total Liabilities across 7 years of filings, most recently posting $6.5 billion for Q3 2026.
- In Q3 2026, Total Liabilities rose 12.44% year-over-year to $6.5 billion; the TTM figure through Jul 2026 stood at $6.5 billion (up 12.44% YoY), while the FY2026 annual figure was $7.2 billion, up 19.6% from the prior year.
- Total Liabilities came in at $6.5 billion for Q3 2026 at Snowflake, down from $6.6 billion in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $7.2 billion in Q1 2026 to a low of $1.6 billion in Q2 2022.
- Average Total Liabilities over 5 years is $3.9 billion, with a median of $2.8 billion recorded in 2024.
- Year-over-year, Total Liabilities soared 126.71% in 2024 and rose 12.44% in 2026.
- Over 5 years, Total Liabilities stood at $1.7 billion in 2022, then soared by 34.13% to $2.3 billion in 2023, then soared by 126.71% to $5.3 billion in 2024, then gained by 15.74% to $6.1 billion in 2025, then grew by 7.27% to $6.5 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $6.5 billion in Q3 2026, $6.6 billion in Q2 2026, and $7.2 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 5.27 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 797.71 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.17 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 25.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.54 Bn |
| Apr 30, 2026 | 6.61 Bn |
| Jan 31, 2026 | 7.21 Bn |
| Oct 31, 2025 | 6.10 Bn |
| Jul 31, 2025 | 5.82 Bn |
| Apr 30, 2025 | 5.74 Bn |
| Jan 31, 2025 | 6.03 Bn |
| Oct 31, 2024 | 5.27 Bn |
| Jul 31, 2024 | 2.81 Bn |
| Apr 30, 2024 | 2.73 Bn |
| Jan 31, 2024 | 3.03 Bn |
| Oct 31, 2023 | 2.32 Bn |
| Jul 31, 2023 | 2.21 Bn |
| Apr 30, 2023 | 2.15 Bn |
| Jan 31, 2023 | 2.25 Bn |
| Oct 31, 2022 | 1.73 Bn |
| Jul 31, 2022 | 1.64 Bn |
| Apr 30, 2022 | 1.56 Bn |
| Jan 31, 2022 | 1.60 Bn |
| Oct 31, 2021 | 1.16 Bn |
API Access
Snowflake Total Liabilities 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=total-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();