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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn |
| 10 | Unusual Machines | 592.37 Mn | -313.66 Mn | 4.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.01 Mn |
| Jun 30, 2026 | 1.69 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 |
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_KEY
import 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();