Unusual Machines (UMAC) EBIT (2023 - 2026)
Unusual Machines (UMAC) posted EBIT of -$7.83 million for Q2 2026, compared with -$7.19 million a year earlier.
Powered by 
Analysis
Unusual Machines (UMAC) EBIT (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Unusual Machines was -$29.72 million; for FY2025, it was -$25.15 million.
- In prior years, Unusual Machines' EBIT was -$16.99 million in FY2024, -$2.38 million in FY2023 and -$1.17 million in FY2022.
- Quarterly EBIT has run from a low of -$12.87 million in Q4 2024 to a high of -$353,674 in Q3 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn | 191.70 Mn |
| 2 | Hasbro | 17.10 Bn | 12.06 Bn | 1.21 Bn | 517.30 Mn |
| 3 | Acushnet Holdings | 5.00 Bn | 4.72 Bn | 321.99 Mn | 80.34 Mn |
| 4 | Mattel | 4.58 Bn | 1.25 Bn | 542.12 Mn | 10.87 Mn |
| 5 | YETI Holdings | 3.39 Bn | 2.85 Bn | 322.52 Mn | 93.52 Mn |
| 6 | Callaway Golf | 3.13 Bn | 1.01 Bn | 226.70 Mn | 44.70 Mn |
| 7 | Peloton Interactive | 2.64 Bn | -2.21 Bn | 342.60 Mn | 116.40 Mn |
| 8 | Sturm Ruger | 818.60 Mn | 402.04 Mn | 30.52 Mn | 5.98 Mn |
| 9 | Smith & Wesson Brands | 675.92 Mn | 588.18 Mn | 32.27 Mn | 4.22 Mn |
| 10 | Unusual Machines | 666.08 Mn | -239.95 Mn | 4.92 Mn | -8.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.36 Mn |
| Jun 30, 2026 | -7.83 Mn |
| Dec 31, 2025 | -9.73 Mn |
| Sep 30, 2025 | -4.96 Mn |
| Jun 30, 2025 | -7.19 Mn |
| Mar 31, 2025 | -3.27 Mn |
| Dec 31, 2024 | -12.87 Mn |
| Sep 30, 2024 | -1.46 Mn |
| Jun 30, 2024 | -1.57 Mn |
| Mar 31, 2024 | -1.09 Mn |
| Dec 31, 2023 | -416,586.00 |
| Sep 30, 2023 | -353,674.00 |
| Jun 30, 2023 | -435,298.00 |
| Mar 31, 2023 | -588,897.00 |
API Access
Unusual Machines EBIT 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=ebit&ticker=UMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();