Unusual Machines (UMAC) Return on Sales [ROS] (2024 - 2026)
Unusual Machines' Return on Sales [ROS] was -46.85% in Q2 2026, up 291.69 percentage points from -338.54% a year earlier.
Unusual Machines (UMAC) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Unusual Machines' Return on Sales [ROS] was -114.83% through Jun 30, 2026, up 207.07 percentage points year-over-year; for FY2025, it was -224.59%, up 80.73 percentage points from FY2024.
- In earlier years, Return on Sales [ROS] was -305.32% in FY2024.
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q1 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last five quarters, with an average year-over-year change of +77.34 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.41 Bn | 12.17 Bn | 867.20 Mn | 22.16% |
| 2 | Amer Sports | 15.55 Bn | 13.14 Bn | 1.07 Bn | 11.74% |
| 3 | Mattel | 4.81 Bn | 1.48 Bn | 542.12 Mn | 0.97% |
| 4 | Acushnet Holdings | 4.78 Bn | 4.53 Bn | 445.83 Mn | 21.54% |
| 5 | YETI Holdings | 3.18 Bn | 2.50 Bn | 322.52 Mn | 19.33% |
| 6 | Callaway Golf | 2.52 Bn | -28.61 Mn | 306.70 Mn | 18.75% |
| 7 | Peloton Interactive | 2.24 Bn | -2.37 Bn | 344.40 Mn | 13.36% |
| 8 | Unusual Machines | 794.79 Mn | 331.28 Mn | 5.80 Mn | -46.85% |
| 9 | Sturm Ruger | 760.47 Mn | 364.47 Mn | 33.74 Mn | 4.83% |
| 10 | Smith & Wesson Brands | 639.87 Mn | 552.13 Mn | 32.27 Mn | 3.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.85% |
| Dec 31, 2025 | -198.68% |
| Sep 30, 2025 | -232.44% |
| Jun 30, 2025 | -338.54% |
| Mar 31, 2025 | -160.01% |
| Dec 31, 2024 | -642.34% |
| Sep 30, 2024 | -95.41% |
| Jun 30, 2024 | -111.38% |
| Mar 31, 2024 | -175.53% |
Unusual Machines Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=UMAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();