United Maritime (USEA) EPS (Diluted) (2022 - 2026)
United Maritime's EPS (Diluted) came in at $0.13 for Q2 2026, up 15.8% from $0.11 a year earlier.
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Analysis
United Maritime (USEA) EPS (Diluted) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, United Maritime reported EPS (Diluted) of -$0.19; for FY2025, it was -$0.70.
- Going back by year, EPS (Diluted) was -$0.39 in FY2024, $0.40 in FY2023 (-91.7%) and $4.81 in FY2022.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q3 2023.
- Business Quant data shows USEA's EPS (Diluted) at -$0.01 (Q1 2026), -$0.43 (Q4 2025) and $0.13 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.36 |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 0.54 |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 0.71 |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 0.83 |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 3.26 |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 6.68 |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.46 |
| 10 | United Maritime | 21.46 Mn | -34.65 Mn | 6.51 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 | 1.18 |
| Jun 30, 2023 | -0.42 |
| Mar 31, 2023 | -0.68 |
| Dec 31, 2022 | 4.67 |
API Access
United Maritime 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=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();