Snowflake (SNOW) Total Current Liabilities (2020 - 2026)
Snowflake (SNOW) recorded Total Current Liabilities of $3.72 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 20.2% from $3.1 billion a year earlier but down 1.5% from the prior quarter.
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Analysis
Snowflake (SNOW) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake reported Total Current Liabilities of $4.42 billion, up 33.9% from FY2025.
- Annual Total Current Liabilities has increased for six straight fiscal years, with a five-year compound annual growth rate of 41.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $3.3 billion in FY2025 (+20.9%), $2.73 billion in FY2024 (+37.0%), $1.99 billion in FY2023 (+42.7%) and $1.4 billion in FY2022 (+77.0%).
- Quarterly Total Current Liabilities has ranged from $958.74 million in fiscal Q3 2022 to $4.42 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for 20 consecutive quarters, with growth averaging 26.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 20.2% in fiscal Q2 2027 to 77.0% in fiscal Q4 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $3.78 billion (Q1 2027), $4.42 billion (Q4 2026) and $3.38 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.72 Bn | 249.79 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 238.73 Bn | 219.14 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 127.27 Bn | 113.20 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 110.23 Bn | 97.55 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 89.17 Bn | 70.81 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 33.92 Bn | 20.04 Bn | - | 2.96 Bn |
| 7 | Okta | 33.82 Bn | 23.92 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 33.04 Bn | 27.56 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 27.87 Bn | 18.34 Bn | 569.77 Mn | 642.37 Mn |
| 10 | F5 | 25.05 Bn | 19.46 Bn | 711.51 Mn | 1.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.72 Bn |
| Apr 30, 2026 | 3.78 Bn |
| Jan 31, 2026 | 4.42 Bn |
| Oct 31, 2025 | 3.38 Bn |
| Jul 31, 2025 | 3.10 Bn |
| Apr 30, 2025 | 3.03 Bn |
| Jan 31, 2025 | 3.30 Bn |
| Oct 31, 2024 | 2.65 Bn |
| Jul 31, 2024 | 2.46 Bn |
| Apr 30, 2024 | 2.43 Bn |
| Jan 31, 2024 | 2.73 Bn |
| Oct 31, 2023 | 2.03 Bn |
| Jul 31, 2023 | 1.91 Bn |
| Apr 30, 2023 | 1.89 Bn |
| Jan 31, 2023 | 1.99 Bn |
| Oct 31, 2022 | 1.48 Bn |
| Jul 31, 2022 | 1.40 Bn |
| Apr 30, 2022 | 1.36 Bn |
| Jan 31, 2022 | 1.40 Bn |
| Oct 31, 2021 | 958.74 Mn |
API Access
Snowflake Total Current 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-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();