Unusual Machines (UMAC) EBITDA Margin (2024 - 2026)
Unusual Machines' EBITDA Margin came in at -46.40% for Q2 2026, up 291.17 percentage points from -337.57% a year earlier.
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Analysis
Unusual Machines (UMAC) EBITDA Margin (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Unusual Machines reported EBITDA Margin of -114.08%, up 206.36 percentage points year-over-year; for FY2025, it came in at -223.33%, up 80.69 percentage points from FY2024.
- Going back by year, EBITDA Margin was -304.02% in FY2024.
- The Q2 2026 figure represents the highest quarterly EBITDA Margin in data going back to Q1 2024.
- Year-over-year, EBITDA Margin increased in three of the last five quarters, with an average year-over-year change of +77.43 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 18.63% |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 24.96% |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 23.16% |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 5.30% |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 20.30% |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 15.25% |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -46.40% |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 8.87% |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 10.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.40% |
| Dec 31, 2025 | -197.09% |
| Sep 30, 2025 | -231.39% |
| Jun 30, 2025 | -337.57% |
| Mar 31, 2025 | -159.00% |
| Dec 31, 2024 | -638.77% |
| Sep 30, 2024 | -95.40% |
| Jun 30, 2024 | -111.37% |
| Mar 31, 2024 | -175.50% |
API Access
Unusual Machines 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=UMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "UMAC", "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=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();