Snowflake (SNOW) Change in Accured Expenses (2020 - 2026)
Snowflake (SNOW) posted Change in Accured Expenses of $108.85 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 16.7% from $93.29 million a year earlier.
Powered by 
Analysis
Snowflake (SNOW) Change in Accured Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Accured Expenses at Snowflake was $324.17 million, up 98.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $393.34 million, up 455.0% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 46.5% (FY2021 to FY2026).
- In prior fiscal years, Snowflake's Change in Accured Expenses was $70.88 million in FY2025 (-58.6%), $171.05 million in FY2024 (+129.5%), $74.52 million in FY2023 (-6.6%) and $79.77 million in FY2022 (+36.9%).
- Quarterly Change in Accured Expenses has run from a low of -$80.79 million in fiscal Q1 2027 to a high of $175.49 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 185.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2026, with growth of 445.4%; the weakest was fiscal Q4 2025, with a decline of 76.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$80.79 million (Q1 2027), $175.49 million (Q4 2026) and $120.62 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 256.58 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 43.09 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | -2.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 108.85 Mn |
| Apr 30, 2026 | -80.79 Mn |
| Jan 31, 2026 | 175.49 Mn |
| Oct 31, 2025 | 120.62 Mn |
| Jul 31, 2025 | 93.29 Mn |
| Apr 30, 2025 | 3.94 Mn |
| Jan 31, 2025 | 32.17 Mn |
| Oct 31, 2024 | 34.07 Mn |
| Jul 31, 2024 | 59.33 Mn |
| Apr 30, 2024 | -54.69 Mn |
| Jan 31, 2024 | 137.34 Mn |
| Oct 31, 2023 | 6.60 Mn |
| Jul 31, 2023 | 35.65 Mn |
| Apr 30, 2023 | -8.54 Mn |
| Jan 31, 2023 | 46.79 Mn |
| Oct 31, 2022 | 17.27 Mn |
| Jul 31, 2022 | 24.67 Mn |
| Apr 30, 2022 | -14.22 Mn |
| Jan 31, 2022 | 36.67 Mn |
| Oct 31, 2021 | 19.39 Mn |
API Access
Snowflake Change in Accured Expenses 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-accured-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();