Unusual Machines (UMAC) Other Operating Expenses (2024 - 2026)
Unusual Machines (UMAC) posted Other Operating Expenses of $1.54 million for Q2 2026, up 281.2% from $404,277 a year earlier.
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Analysis
Unusual Machines (UMAC) Other Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Unusual Machines was $4.47 million, up 233.7% year-over-year; for FY2025, it came in at $3.23 million, up 237.0% from FY2024.
- In prior years, Unusual Machines' Other Operating Expenses was $959,740 in FY2024.
- Quarterly Other Operating Expenses has run from a low of $112,322 in Q1 2024 to a high of $1.89 million in Q4 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 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 |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.89 Mn |
| Sep 30, 2025 | 636,705.00 |
| Jun 30, 2025 | 404,277.00 |
| Mar 31, 2025 | 302,602.00 |
| Dec 31, 2024 | 415,520.00 |
| Sep 30, 2024 | 218,126.00 |
| Jun 30, 2024 | 213,772.00 |
| Mar 31, 2024 | 112,322.00 |
API Access
Unusual Machines Other Operating Expenses 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=other-operating-expenses&ticker=UMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();