Unusual Machines (UMAC) EBITDA (2023 - 2026)
Unusual Machines' EBITDA was -$7.76 million in Q2 2026, compared with -$7.17 million a year earlier.
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 | 15.40 Bn | 11.45 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 284.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 189.94 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 59.60 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 124.30 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 92.70 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 14.01 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 11.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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_KEY
import 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();