Snowflake (SNOW) Other Non-Current Liabilities (2020 - 2026)
Snowflake (SNOW) reported Other Non-Current Liabilities of $87.48 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 58.2% from $55.3 million a year earlier but down 8.2% from the prior quarter.
Snowflake (SNOW) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake posted Other Non-Current Liabilities of $80.75 million, up 31.8% from FY2025.
- Other Non-Current Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 63.4% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $61.26 million in FY2025 (+85.0%), $33.12 million in FY2024 (+35.9%), $24.37 million in FY2023 (+117.9%) and $11.18 million in FY2022 (+61.5%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $11.18 million in fiscal Q4 2022 and a high of $95.27 million in fiscal Q1 2027.
- Year over year, Other Non-Current Liabilities has now increased in each of the last 20 quarters, with growth averaging 52.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Non-Current Liabilities ranged from 10.3% (fiscal Q1 2023) to 117.9% (fiscal Q4 2023).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $95.27 million (Q1 2027), $80.75 million (Q4 2026) and $57.65 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 87.48 Mn |
| Apr 30, 2026 | 95.27 Mn |
| Jan 31, 2026 | 80.75 Mn |
| Oct 31, 2025 | 57.65 Mn |
| Jul 31, 2025 | 55.30 Mn |
| Apr 30, 2025 | 47.62 Mn |
| Jan 31, 2025 | 61.26 Mn |
| Oct 31, 2024 | 51.26 Mn |
| Jul 31, 2024 | 49.37 Mn |
| Apr 30, 2024 | 39.31 Mn |
| Jan 31, 2024 | 33.12 Mn |
| Oct 31, 2023 | 25.83 Mn |
| Jul 31, 2023 | 22.79 Mn |
| Apr 30, 2023 | 21.44 Mn |
| Jan 31, 2023 | 24.37 Mn |
| Oct 31, 2022 | 21.03 Mn |
| Jul 31, 2022 | 12.41 Mn |
| Apr 30, 2022 | 11.30 Mn |
| Jan 31, 2022 | 11.18 Mn |
| Oct 31, 2021 | 12.23 Mn |
Snowflake Other 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=other-non-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();