Fusemachines (FUSE) Other Operating Expenses (2024 - 2026)
Fusemachines' Other Operating Expenses came in at $383,000 for Q2 2026, up 15.0% from $333,000 a year earlier but down 7.0% from the prior quarter.
Fusemachines (FUSE) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fusemachines reported Other Operating Expenses of $1.96 million, down 19.8% year-over-year; for FY2025, it came in at $1.37 million, down 30.5% from FY2024.
- Going back by year, Other Operating Expenses was $1.96 million in FY2024.
- The five-year range for quarterly Other Operating Expenses is $282,919 (Q4 2025) to $1.37 million (Q4 2024).
- Year-over-year, Other Operating Expenses increased in three of the last four quarters, with growth averaging 18.5%.
- Business Quant data shows FUSE's Other Operating Expenses at $412,000 (Q1 2026), $282,919 (Q4 2025) and $884,768 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 261.03 Bn | 246.10 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 240.58 Bn | 220.98 Bn | 1.10 Bn |
| 3 | Fortinet | 126.51 Bn | 112.44 Bn | 1.64 Bn |
| 4 | Snowflake | 112.77 Bn | 100.09 Bn | 1.04 Bn |
| 5 | Datadog | 97.88 Bn | 79.52 Bn | 881.34 Mn |
| 6 | Zscaler | 36.31 Bn | 22.43 Bn | - |
| 7 | Okta | 35.62 Bn | 25.71 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.79 Bn | 26.32 Bn | 546.45 Mn |
| 9 | MongoDB | 30.26 Bn | 20.73 Bn | 569.77 Mn |
| 10 | Fusemachines | 11.05 Mn | -7.61 Mn | 963,000.00 |
Historic Data
| Date | Value |
|---|---|
| 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();