Fusemachines (FUSE) EBITDA Margin (2025 - 2026)
Fusemachines (FUSE) posted EBITDA Margin of -108.56% for Q3 2026, down 51.37 percentage points from -57.20% a year earlier but up 36.81 percentage points from the prior quarter.
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Analysis
Fusemachines (FUSE) EBITDA Margin (2025 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA Margin at Fusemachines was -136.67%; for FY2025, it came in at -73.59%, up 16.12 percentage points from FY2024.
- In prior years, Fusemachines' EBITDA Margin was -89.72% in FY2024.
- Quarterly EBITDA Margin has run from a low of -157.37% in Q1 2026 to a high of -38.50% in Q2 2025 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last three quarters.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -145.37% (Q2 2026), -157.37% (Q1 2026) and -135.30% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 246.93 Bn | 232.00 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 234.18 Bn | 214.58 Bn | 1.10 Bn | 11.58% |
| 3 | Snowflake | 103.91 Bn | 91.22 Bn | 1.04 Bn | -8.70% |
| 4 | Fortinet | 90.88 Bn | 75.13 Bn | 1.64 Bn | 40.56% |
| 5 | Datadog | 65.40 Bn | 45.94 Bn | 959.92 Mn | 9.97% |
| 6 | Okta | 31.82 Bn | 21.91 Bn | 641.00 Mn | 20.62% |
| 7 | Zscaler | 31.77 Bn | 17.92 Bn | 689.22 Mn | 10.44% |
| 8 | MongoDB | 27.02 Bn | 17.49 Bn | 569.77 Mn | 4.58% |
| 9 | Axon Enterprise | 24.20 Bn | 18.73 Bn | 546.45 Mn | 8.76% |
| 10 | Fusemachines | 10.42 Mn | 2.60 Mn | 981,000.00 | -108.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -108.56% |
| Jun 30, 2026 | -145.37% |
| Mar 31, 2026 | -157.37% |
| Jun 30, 2025 | -38.50% |
| Mar 31, 2025 | -63.97% |
API Access
Fusemachines EBITDA Margin 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=ebitda-margin&ticker=FUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();