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 | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Fusemachines | 16.23 Mn | -2.43 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 | 884,768.00 |
| Jun 30, 2025 | 333,000.00 |
| Mar 31, 2025 | 308,000.00 |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 432,298.00 |
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();