Snowflake (SNOW) Change in Other Operating Liabilities (2020 - 2026)
Snowflake (SNOW) reported Change in Other Operating Liabilities of -$301.26 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$67.07 million a year earlier.
Snowflake (SNOW) Change in Other Operating Liabilities (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Snowflake's Change in Other Operating Liabilities came in at $229.53 million, down 36.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $728.27 million, up 117.4% from FY2025.
- Change in Other Operating Liabilities has a five-year compound annual growth rate of 20.9% (FY2021 to FY2026).
- By fiscal year, Change in Other Operating Liabilities came in at $335.04 million in FY2025 (-31.3%), $487.53 million in FY2024 (+3.3%), $471.96 million in FY2023 (-3.3%) and $487.97 million in FY2022 (+73.3%).
- Five-year quarterly Change in Other Operating Liabilities spans a low of -$547.75 million in fiscal Q1 2027 and a high of $943.08 million in fiscal Q4 2026.
- The high point for year-over-year Change in Other Operating Liabilities in five years was fiscal Q4 2022 (growth of 101.1%); the low point was fiscal Q2 2023 (a decline of 95.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$547.75 million (Q1 2027), $943.08 million (Q4 2026) and $135.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.46 Bn | 241.53 Bn | 2.30 Bn | 1.15 Bn |
| 2 | CrowdStrike Holdings | 222.40 Bn | 202.84 Bn | 1.10 Bn | 115.11 Mn |
| 3 | Snowflake | 94.80 Bn | 82.11 Bn | 1.04 Bn | -301.26 Mn |
| 4 | Fortinet | 90.00 Bn | 74.25 Bn | 1.64 Bn | 257.90 Mn |
| 5 | Datadog | 63.03 Bn | 43.58 Bn | 959.92 Mn | -37.34 Mn |
| 6 | Zscaler | 33.24 Bn | 19.40 Bn | 689.22 Mn | 445.78 Mn |
| 7 | Axon Enterprise | 31.08 Bn | 25.60 Bn | 546.45 Mn | 4.96 Mn |
| 8 | Okta | 28.61 Bn | 18.70 Bn | 641.00 Mn | -39.00 Mn |
| 9 | Baidu | 27.04 Bn | -46.40 Bn | 1.76 Mn | - |
| 10 | MongoDB | 24.54 Bn | 15.01 Bn | 569.77 Mn | 12.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -301.26 Mn |
| Apr 30, 2026 | -547.75 Mn |
| Jan 31, 2026 | 943.08 Mn |
| Oct 31, 2025 | 135.46 Mn |
| Jul 31, 2025 | -67.07 Mn |
| Apr 30, 2025 | -283.20 Mn |
| Jan 31, 2025 | 596.07 Mn |
| Oct 31, 2024 | 113.72 Mn |
| Jul 31, 2024 | -100.19 Mn |
| Apr 30, 2024 | -274.56 Mn |
| Jan 31, 2024 | 583.68 Mn |
| Oct 31, 2023 | 69.39 Mn |
| Jul 31, 2023 | -44.30 Mn |
| Apr 30, 2023 | -121.24 Mn |
| Jan 31, 2023 | 454.47 Mn |
| Oct 31, 2022 | 44.33 Mn |
| Jul 31, 2022 | 2.98 Mn |
| Apr 30, 2022 | -29.82 Mn |
| Jan 31, 2022 | 388.70 Mn |
| Oct 31, 2021 | 49.25 Mn |
Snowflake Change in Other Operating 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=change-in-other-operating-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();