Snowflake (SNOW) Total Liabilities (2020 - 2026)
Snowflake (SNOW) reported Total Liabilities of $6.54 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 12.4% from $5.82 billion a year earlier but down 1.1% from the prior quarter.
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Analysis
Snowflake (SNOW) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake posted Total Liabilities of $7.21 billion, up 19.6% from FY2025.
- Total Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 48.9% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $6.03 billion in FY2025 (+98.7%), $3.03 billion in FY2024 (+34.6%), $2.25 billion in FY2023 (+40.8%) and $1.6 billion in FY2022 (+62.5%).
- Five-year quarterly Total Liabilities spans a low of $1.16 billion in fiscal Q3 2022 and a high of $7.21 billion in fiscal Q4 2026.
- Year over year, Total Liabilities has now increased in each of the last 20 quarters, with growth averaging 63.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 12.4% (fiscal Q2 2027) to 126.7% (fiscal Q3 2025).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $6.61 billion (Q1 2027), $7.21 billion (Q4 2026) and $6.1 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.72 Bn | 249.79 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 238.73 Bn | 219.14 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 127.27 Bn | 113.20 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 110.23 Bn | 97.55 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 89.17 Bn | 70.81 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 33.92 Bn | 20.04 Bn | - | 5.27 Bn |
| 7 | Okta | 33.82 Bn | 23.92 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 33.04 Bn | 27.56 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 27.87 Bn | 18.34 Bn | 569.77 Mn | 797.71 Mn |
| 10 | F5 | 25.05 Bn | 19.46 Bn | 711.51 Mn | 2.97 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();