Euroseas (ESEA) EPS (Diluted) (2009 - 2026)
Euroseas (ESEA) recorded EPS (Diluted) of $4.75 in the quarter ended Jun 30, 2026, up 10.7% from $4.29 a year earlier and up 0.3% from the prior quarter.
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Analysis
Euroseas (ESEA) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Euroseas' EPS (Diluted) came in at $18.24 as of Jun 30, 2026, up 18.9% year-over-year; for the year ended Dec 31, 2025, it came in at $16.74, up 12.6% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 95.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $14.87 in the year ended Dec 31, 2024 (-0.7%), $14.98 in the year ended Dec 31, 2023 (+1.4%), $14.78 in the year ended Dec 31, 2022 (+143.9%) and $6.06 in the year ended Dec 31, 2021 (+941.0%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EPS (Diluted) since the quarter ended Jun 30, 2024.
- On a year-over-year basis, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 941.0% in the quarter ended Sep 30, 2021, against a decline of 24.3% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.73 (quarter ended Mar 31, 2026), $4.51 (quarter ended Dec 31, 2025) and $4.25 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (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 | - | 0.83 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.26 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.17 |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 4.75 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.75 |
| Mar 31, 2026 | 4.73 |
| Dec 31, 2025 | 4.51 |
| Sep 30, 2025 | 4.25 |
| Jun 30, 2025 | 4.29 |
| Mar 31, 2025 | 3.76 |
| Dec 31, 2024 | 3.35 |
| Sep 30, 2024 | 3.95 |
| 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 | 2.46 |
| Sep 30, 2022 | 2.99 |
| Jun 30, 2022 | 4.23 |
| Mar 31, 2022 | 3.84 |
| Dec 31, 2021 | 3.25 |
| Sep 30, 2021 | 1.47 |
API Access
Euroseas 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=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();