Unusual Machines (UMAC) Accumulated Expenses (2024 - 2026)
Unusual Machines (UMAC) posted Accumulated Expenses of $16,207 for Q2 2026, down 8.9% from $17,789 a year earlier.
Analysis
Unusual Machines (UMAC) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Unusual Machines' Accumulated Expenses came in at $19,602, down 32.3% from FY2024.
- In prior years, Unusual Machines' Accumulated Expenses was $28,944 in FY2024.
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses in data going back to Q1 2024.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last five quarters, with an average decline of 36.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,207.00 |
| Dec 31, 2025 | 19,602.00 |
| Sep 30, 2025 | 19,874.00 |
| Jun 30, 2025 | 17,789.00 |
| Mar 31, 2025 | 19,430.00 |
| Dec 31, 2024 | 28,944.00 |
| Sep 30, 2024 | 19,080.00 |
| Jun 30, 2024 | 66,025.00 |
| Mar 31, 2024 | 66,025.00 |
API Access
Unusual Machines Accumulated 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=accumulated-expenses&ticker=UMAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();