Fusemachines (FUSE) Operating Expenses (2024 - 2026)
Fusemachines (FUSE) reported Operating Expenses of $3.65 million for Q2 2026, up 77.5% from $2.06 million a year earlier but down 8.3% from the prior quarter.
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Analysis
Fusemachines (FUSE) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fusemachines' Operating Expenses came in at $17.11 million, up 2.5% year-over-year; for FY2025, it came in at $10.26 million, down 21.2% from FY2024.
- By year, Operating Expenses came in at $13.03 million in FY2024.
- Five-year quarterly Operating Expenses spans a low of $613,027 in Q3 2024 and a high of $11.62 million in Q4 2024.
- Year over year, Operating Expenses gained in three of the last four quarters, with growth averaging 49.9%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.98 million (Q1 2026), $8.35 million (Q4 2025) and $1.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.73 Bn | 245.80 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 244.39 Bn | 224.79 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 127.46 Bn | 113.39 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 112.84 Bn | 100.16 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 97.33 Bn | 78.97 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 37.01 Bn | 23.13 Bn | - | - |
| 7 | Okta | 36.23 Bn | 26.33 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 32.05 Bn | 26.58 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 31.36 Bn | 21.83 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Fusemachines | 10.63 Mn | -8.03 Mn | 963,000.00 | 3.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.65 Mn |
| Mar 31, 2026 | 3.98 Mn |
| Dec 31, 2025 | 8.35 Mn |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 2.41 Mn |
| Dec 31, 2024 | 11.62 Mn |
| Sep 30, 2024 | 613,027.00 |
API Access
Fusemachines 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=operating-expenses&ticker=FUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();