Euroseas (ESEA) Assets (2009 - 2026)
Euroseas (ESEA) reported Assets of $752.95 million for the quarter ended Jun 30, 2026, up 13.7% from $662.11 million a year earlier and up 4.2% from the prior quarter.
Euroseas (ESEA) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Euroseas posted Assets of $700.46 million, up 18.5% from the prior year.
- Assets has increased for five consecutive years, with a five-year compound annual growth rate of 44.7% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $591.22 million in the year ended Dec 31, 2024 (+39.2%), $424.67 million in the year ended Dec 31, 2023 (+29.2%), $328.59 million in the year ended Dec 31, 2022 (+48.4%) and $221.42 million in the year ended Dec 31, 2021 (+100.2%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Assets in data going back to the quarter ended Mar 31, 2009.
- Year over year, Assets has now increased in each of the last 20 quarters, with growth averaging 25.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Assets ran from 6.2% in the quarter ended Sep 30, 2021 to 168.0% in the quarter ended Sep 30, 2022.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $722.68 million (quarter ended Mar 31, 2026), $700.46 million (quarter ended Dec 31, 2025) and $674.77 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 71.21 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 44.73 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 64.54 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 71.27 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 45.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 98.94 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 86.32 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 5.74 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 21.11 Bn |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 752.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 752.95 Mn |
| Mar 31, 2026 | 722.68 Mn |
| Dec 31, 2025 | 700.46 Mn |
| Sep 30, 2025 | 674.77 Mn |
| Jun 30, 2025 | 662.11 Mn |
| Mar 31, 2025 | 648.75 Mn |
| Dec 31, 2024 | 591.22 Mn |
| Sep 30, 2024 | 580.86 Mn |
| Jun 30, 2024 | 547.54 Mn |
| Mar 31, 2024 | 465.94 Mn |
| Dec 31, 2023 | 424.67 Mn |
| Sep 30, 2023 | 408.91 Mn |
| Jun 30, 2023 | 394.13 Mn |
| Mar 31, 2023 | 361.05 Mn |
| Dec 31, 2022 | 328.59 Mn |
| Sep 30, 2022 | 321.70 Mn |
| Jun 30, 2022 | 288.53 Mn |
| Mar 31, 2022 | 241.76 Mn |
| Dec 31, 2021 | 221.42 Mn |
| Sep 30, 2021 | 120.02 Mn |
Euroseas Assets 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=assets&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();