Snowflake (SNOW) Total Non-Current Liabilities (2020 - 2026)
Snowflake (SNOW) recorded Total Non-Current Liabilities of $6.45 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 12.0% from $5.76 billion a year earlier but down 1.0% from the prior quarter.
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Analysis
Snowflake (SNOW) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake reported Total Non-Current Liabilities of $7.13 billion, up 19.5% from FY2025.
- Annual Total Non-Current Liabilities has increased for five straight fiscal years, with a five-year compound annual growth rate of 48.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $5.97 billion in FY2025 (+98.9%), $3 billion in FY2024 (+34.6%), $2.23 billion in FY2023 (+40.3%) and $1.59 billion in FY2022 (+62.5%).
- Quarterly Total Non-Current Liabilities has ranged from $1.14 billion in fiscal Q3 2022 to $7.13 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 20 consecutive quarters, with growth averaging 63.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 12.0% (fiscal Q2 2027) to 127.0% (fiscal Q3 2025).
- Per Business Quant, the preceding three fiscal quarters came in at $6.52 billion (Q1 2027), $7.13 billion (Q4 2026) and $6.04 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - | 5.20 Bn |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn | 770.18 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.45 Bn |
| Apr 30, 2026 | 6.52 Bn |
| Jan 31, 2026 | 7.13 Bn |
| Oct 31, 2025 | 6.04 Bn |
| Jul 31, 2025 | 5.76 Bn |
| Apr 30, 2025 | 5.69 Bn |
| Jan 31, 2025 | 5.97 Bn |
| Oct 31, 2024 | 5.22 Bn |
| Jul 31, 2024 | 2.76 Bn |
| Apr 30, 2024 | 2.69 Bn |
| Jan 31, 2024 | 3.00 Bn |
| Oct 31, 2023 | 2.30 Bn |
| Jul 31, 2023 | 2.19 Bn |
| Apr 30, 2023 | 2.13 Bn |
| Jan 31, 2023 | 2.23 Bn |
| Oct 31, 2022 | 1.71 Bn |
| Jul 31, 2022 | 1.63 Bn |
| Apr 30, 2022 | 1.55 Bn |
| Jan 31, 2022 | 1.59 Bn |
| Oct 31, 2021 | 1.14 Bn |
API Access
Snowflake Total Non-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-non-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();