Euroseas (ESEA) Total Liabilities (2009 - 2026)
Euroseas' Total Liabilities came in at $229.07 million for the quarter ended Jun 30, 2026, down 11.6% from $259.13 million a year earlier and down 1.3% from the prior quarter.
Euroseas (ESEA) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Euroseas' Total Liabilities was $176.58 million, down 22.6% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 16.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $228.27 million in the year ended Dec 31, 2024 (+44.4%), $158.1 million in the year ended Dec 31, 2023 (-1.5%), $160.44 million in the year ended Dec 31, 2022 (+11.0%) and $144.56 million in the year ended Dec 31, 2021 (+73.7%).
- The five-year range for quarterly Total Liabilities is $66.03 million (the quarter ended Sep 30, 2021) to $271.49 million (the quarter ended Mar 31, 2025).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Sep 30, 2022 (growth of 155.1%), and the weakest in the quarter ended Sep 30, 2021 (a decline of 25.8%).
- Business Quant data shows ESEA's Total Liabilities at $231.99 million (quarter ended Mar 31, 2026), $176.58 million (quarter ended Dec 31, 2025) and $246.69 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 229.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.07 Mn |
| Mar 31, 2026 | 231.99 Mn |
| Dec 31, 2025 | 176.58 Mn |
| Sep 30, 2025 | 246.69 Mn |
| Jun 30, 2025 | 259.13 Mn |
| Mar 31, 2025 | 271.49 Mn |
| Dec 31, 2024 | 228.27 Mn |
| Sep 30, 2024 | 237.45 Mn |
| Jun 30, 2024 | 227.92 Mn |
| Mar 31, 2024 | 183.22 Mn |
| Dec 31, 2023 | 158.10 Mn |
| Sep 30, 2023 | 163.81 Mn |
| Jun 30, 2023 | 176.94 Mn |
| Mar 31, 2023 | 169.25 Mn |
| Dec 31, 2022 | 160.44 Mn |
| Sep 30, 2022 | 168.45 Mn |
| Jun 30, 2022 | 154.55 Mn |
| Mar 31, 2022 | 134.75 Mn |
| Dec 31, 2021 | 144.56 Mn |
| Sep 30, 2021 | 66.03 Mn |
Euroseas Total Liabilities 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=total-liabilities&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();