Fusemachines (FUSE) Change in Accrued Expenses (2024 - 2026)
Fusemachines' Change in Accrued Expenses came in at $1.53 million for Q3 2026, up 213.9% from $488,000 a year earlier and up 714.9% from the prior quarter.
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Analysis
Fusemachines (FUSE) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Fusemachines reported Change in Accrued Expenses of $1.54 million, down 16.2% year-over-year; for FY2025, it was $34,000, down 98.1% from FY2024.
- Going back by year, Change in Accrued Expenses was $1.74 million in FY2024.
- The Q3 2026 figure represents the highest quarterly Change in Accrued Expenses in data going back to Q4 2024.
- Business Quant data shows FUSE's Change in Accrued Expenses at $188,000 (Q2 2026), $243,000 (Q1 2026) and -$427,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | - |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Fusemachines | 10.70 Mn | 2.88 Mn | 981,000.00 | 1.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.53 Mn |
| Jun 30, 2026 | 188,000.00 |
| Mar 31, 2026 | 243,000.00 |
| Dec 31, 2025 | -427,000.00 |
| Sep 30, 2025 | 488,000.00 |
| Jun 30, 2025 | 119,000.00 |
| Mar 31, 2025 | -146,000.00 |
| Dec 31, 2024 | 1.37 Mn |
API Access
Fusemachines Change in Accrued 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=FUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FUSE", "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=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();