Fusemachines (FUSE) Other Operating Expenses (2024 - 2026)
Fusemachines (FUSE) recorded Other Operating Expenses of -$222,000 in Q3 2026, compared with -$338,000 a year earlier.
Fusemachines (FUSE) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Fusemachines' Other Operating Expenses came in at -$856,000 as of Sep 30, 2026; for FY2025, it came in at -$1.32 million.
- Across earlier years, Other Operating Expenses came in at -$1.28 million in FY2024.
- Quarterly Other Operating Expenses has ranged from -$2.44 million in Q4 2024 to $532,955 in Q3 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$156,000 (Q2 2026), -$221,000 (Q1 2026) and -$257,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 246.93 Bn | 232.00 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 234.18 Bn | 214.58 Bn | 1.10 Bn |
| 3 | Snowflake | 103.91 Bn | 91.22 Bn | 1.04 Bn |
| 4 | Fortinet | 90.88 Bn | 75.13 Bn | 1.64 Bn |
| 5 | Datadog | 65.40 Bn | 45.94 Bn | 959.92 Mn |
| 6 | Okta | 31.82 Bn | 21.91 Bn | 641.00 Mn |
| 7 | Zscaler | 31.77 Bn | 17.92 Bn | 689.22 Mn |
| 8 | MongoDB | 27.02 Bn | 17.49 Bn | 569.77 Mn |
| 9 | Axon Enterprise | 24.20 Bn | 18.73 Bn | 546.45 Mn |
| 10 | Fusemachines | 10.42 Mn | 2.60 Mn | 981,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 356,000.00 |
| Jun 30, 2026 | 383,000.00 |
| Mar 31, 2026 | 412,000.00 |
| Dec 31, 2025 | 282,919.00 |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 333,000.00 |
| Mar 31, 2025 | 308,000.00 |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 583,027.00 |
Fusemachines Other Operating 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=other-operating-expenses&ticker=FUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();