Euroseas (ESEA) EPS (Basic) (2009 - 2026)
Euroseas (ESEA) posted EPS (Basic) of $4.75 for the quarter ended Jun 30, 2026, up 10.3% from $4.30 a year earlier and up 0.3% from the prior quarter.
Euroseas (ESEA) EPS (Basic) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Euroseas was $18.25, up 18.6% year-over-year; for the year ended Dec 31, 2025, it came in at $16.75, up 12.2% from the prior year.
- Annual EPS (Basic) shows a five-year compound annual growth rate of 95.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Euroseas' EPS (Basic) was $14.92 in the year ended Dec 31, 2024 (-0.5%), $14.99 in the year ended Dec 31, 2023 (+1.3%), $14.79 in the year ended Dec 31, 2022 (+143.7%) and $6.07 in the year ended Dec 31, 2021 (+943.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Basic) since the quarter ended Jun 30, 2024.
- On a year-over-year basis, EPS (Basic) has increased in each of the last four quarters, with growth averaging 12.5% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was the quarter ended Sep 30, 2021, with growth of 841.0%; the weakest was the quarter ended Dec 31, 2022, with a decline of 24.4%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $4.73 (quarter ended Mar 31, 2026), $4.51 (quarter ended Dec 31, 2025) and $4.26 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.99 Bn | 165.52 Bn | - | 3.36 |
| 2 | Csx | 89.43 Bn | 85.64 Bn | - | 0.54 |
| 3 | United Parcel Service | 84.27 Bn | 61.16 Bn | - | 0.71 |
| 4 | Canadian Pacific Kansas City | 77.36 Bn | 76.38 Bn | - | 0.84 |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 3.27 |
| 6 | Fedex | 71.32 Bn | 37.27 Bn | - | 6.74 |
| 7 | Delta Air Lines | 50.22 Bn | 32.41 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.27 Bn | 38.53 Bn | - | 1.69 |
| 9 | United Airlines Holdings | 31.84 Bn | -24.53 Bn | - | 2.48 |
| 10 | Euroseas | 467.49 Mn | -100,210.94 Bn | 44.87 Mn | 4.75 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.75 |
| Mar 31, 2026 | 4.73 |
| Dec 31, 2025 | 4.51 |
| Sep 30, 2025 | 4.26 |
| Jun 30, 2025 | 4.30 |
| Mar 31, 2025 | 3.78 |
| Dec 31, 2024 | 3.36 |
| Sep 30, 2024 | 3.96 |
| Jun 30, 2024 | 4.95 |
| Mar 31, 2024 | 2.67 |
| Dec 31, 2023 | 3.61 |
| Sep 30, 2023 | 3.92 |
| Jun 30, 2023 | 4.04 |
| Mar 31, 2023 | 3.02 |
| Dec 31, 2022 | 2.47 |
| Sep 30, 2022 | 2.99 |
| Jun 30, 2022 | 4.24 |
| Mar 31, 2022 | 3.85 |
| Dec 31, 2021 | 3.26 |
| Sep 30, 2021 | 1.33 |
Euroseas 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=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "ESEA", "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=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();