Unusual Machines (UMAC) EPS (Diluted) (2023 - 2026)
Unusual Machines' EPS (Diluted) was -$0.16 in Q2 2026, compared with -$0.32 a year earlier.
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Analysis
Unusual Machines (UMAC) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Unusual Machines' EPS (Diluted) was -$0.49 through Jun 30, 2026; for FY2025, it was -$0.74.
- In earlier years, EPS (Diluted) was -$3.84 in FY2024, -$0.72 in FY2023 and -$0.29 in FY2022.
- Quarterly EPS (Diluted) has moved between -$3.26 (Q4 2024) and $0.05 (Q3 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 0.03 |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 1.12 |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 2.08 |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | -0.06 |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 0.94 |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 0.40 |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 0.14 |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -0.16 |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 0.43 |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 0.06 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.16 |
| Dec 31, 2025 | -0.41 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | -0.32 |
| Mar 31, 2025 | -0.21 |
| Dec 31, 2024 | -3.26 |
| Sep 30, 2024 | -0.30 |
| Jun 30, 2024 | -0.16 |
| Mar 31, 2024 | -0.18 |
| Dec 31, 2023 | -0.13 |
| Sep 30, 2023 | -0.11 |
| Jun 30, 2023 | -0.13 |
| Mar 31, 2023 | -0.35 |
API Access
Unusual Machines EPS (Diluted) 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=eps-diluted&ticker=UMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();