United Maritime (USEA) EPS (Basic) (2022 - 2026)
United Maritime (USEA) posted EPS (Basic) of $0.13 for Q2 2026, up 15.8% from $0.11 a year earlier.
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Analysis
United Maritime (USEA) EPS (Basic) (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at United Maritime was -$0.19; for FY2025, it was -$0.70.
- In prior years, United Maritime's EPS (Basic) was -$0.39 in FY2024, $0.40 in FY2023 (-94.9%) and $7.79 in FY2022.
- The Q2 2026 figure stands as the highest quarterly EPS (Basic) since Q3 2023.
- According to Business Quant data, EPS (Basic) for the three prior quarters was -$0.01 (Q1 2026), -$0.43 (Q4 2025) and $0.13 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.84 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.27 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.74 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.45 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.69 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.18 |
| 10 | United Maritime | 23.53 Mn | 24.34 Mn | 9.81 Mn | 0.13 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.13 |
| Mar 31, 2026 | -0.01 |
| Dec 31, 2025 | -0.43 |
| Sep 30, 2025 | 0.13 |
| Jun 30, 2025 | 0.11 |
| Mar 31, 2025 | -0.51 |
| Dec 31, 2024 | -0.21 |
| Sep 30, 2024 | -0.11 |
| Jun 30, 2024 | 0.08 |
| Mar 31, 2024 | -0.16 |
| Dec 31, 2023 | -0.09 |
| Sep 30, 2023 | 1.92 |
| Jun 30, 2023 | -0.68 |
| Mar 31, 2023 | -1.10 |
| Dec 31, 2022 | 7.59 |
API Access
United Maritime EPS (Basic) 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-basic&ticker=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "USEA", "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-basic&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();