Unusual Machines (UMAC) EBITDA (2023 - 2026)
Unusual Machines' EBITDA was -$7.76 million in Q2 2026, compared with -$7.17 million a year earlier.
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Analysis
Unusual Machines (UMAC) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Unusual Machines' EBITDA was -$29.52 million through Jun 30, 2026; for FY2025, it came in at -$25.01 million.
- In earlier years, EBITDA was -$16.92 million in FY2024, -$2.38 million in FY2023 and -$1.17 million in FY2022.
- Quarterly EBITDA has moved between -$12.8 million (Q4 2024) and -$353,029 (Q3 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.40 Bn | 14.99 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 16.82 Bn | 11.78 Bn | 1.21 Bn | 553.60 Mn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.73 Bn | 321.99 Mn | 96.57 Mn |
| 4 | Mattel | 4.46 Bn | 1.13 Bn | 542.12 Mn | 59.60 Mn |
| 5 | YETI Holdings | 3.32 Bn | 2.78 Bn | 322.52 Mn | 108.05 Mn |
| 6 | Callaway Golf | 3.06 Bn | 945.58 Mn | 226.70 Mn | 55.30 Mn |
| 7 | Peloton Interactive | 2.55 Bn | -2.31 Bn | 342.60 Mn | 130.10 Mn |
| 8 | Sturm Ruger | 813.81 Mn | 397.26 Mn | 30.52 Mn | 11.40 Mn |
| 9 | Smith & Wesson Brands | 673.01 Mn | 585.27 Mn | 32.27 Mn | 11.92 Mn |
| 10 | Unusual Machines | 660.29 Mn | -245.74 Mn | 4.92 Mn | -8.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.11 Mn |
| Jun 30, 2026 | -7.76 Mn |
| Dec 31, 2025 | -9.65 Mn |
| Sep 30, 2025 | -4.94 Mn |
| Jun 30, 2025 | -7.17 Mn |
| Mar 31, 2025 | -3.25 Mn |
| Dec 31, 2024 | -12.80 Mn |
| Sep 30, 2024 | -1.46 Mn |
| Jun 30, 2024 | -1.57 Mn |
| Mar 31, 2024 | -1.09 Mn |
| Dec 31, 2023 | -412,393.00 |
| Sep 30, 2023 | -353,029.00 |
| Jun 30, 2023 | -434,917.00 |
| Mar 31, 2023 | -588,516.00 |
API Access
Unusual Machines EBITDA 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&ticker=UMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();