Euroseas (ESEA) Price to Earnings (2009 - 2026)
Euroseas' Price to Earnings came in at 3.70 for the quarter ended Jun 30, 2026, up 25.2% from 2.95 a year earlier but down 3.2% from the prior quarter.
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Analysis
Euroseas (ESEA) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Euroseas' Price to Earnings was 3.31, up 65.2% from the prior year.
- Price to Earnings has increased in each of the last three years.
- Going back by year, Price to Earnings was 2.00 in the year ended Dec 31, 2024 (+17.2%), 1.71 in the year ended Dec 31, 2023 (+70.2%), 1.01 in the year ended Dec 31, 2022 (-71.2%) and 3.49 in the year ended Dec 31, 2021 (-60.6%).
- The five-year range for quarterly Price to Earnings is 1.12 (the quarter ended Dec 31, 2022) to 8.70 (the quarter ended Sep 30, 2021).
- Year-over-year, Price to Earnings has increased for five consecutive quarters, with growth averaging 45.9% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Sep 30, 2021 (growth of 261.0%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 85.8%).
- Business Quant data shows ESEA's Price to Earnings at 3.82 (quarter ended Mar 31, 2026), 3.30 (quarter ended Dec 31, 2025) and 3.86 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Euroseas | 510.99 Mn | -110.60 Mn | 113.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.70 |
| Mar 31, 2026 | 3.82 |
| Dec 31, 2025 | 3.30 |
| Sep 30, 2025 | 3.86 |
| Jun 30, 2025 | 2.95 |
| Mar 31, 2025 | 1.94 |
| Dec 31, 2024 | 2.00 |
| Sep 30, 2024 | 2.65 |
| Jun 30, 2024 | 1.88 |
| Mar 31, 2024 | 2.03 |
| Dec 31, 2023 | 1.71 |
| Sep 30, 2023 | 1.60 |
| Jun 30, 2023 | 1.41 |
| Mar 31, 2023 | 1.19 |
| Dec 31, 2022 | 1.12 |
| Sep 30, 2022 | 1.23 |
| Jun 30, 2022 | 1.62 |
| Mar 31, 2022 | 2.62 |
| Dec 31, 2021 | 3.49 |
| Sep 30, 2021 | 8.70 |
API Access
Euroseas Price to Earnings 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=price-to-earnings&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();