Euroseas (ESEA) Short term Debt (2009 - 2026)
Euroseas' Short term Debt was $17.7 million in the quarter ended Jun 30, 2026, down 15.1% from $20.85 million a year earlier and down 3.3% from the prior quarter.
Euroseas (ESEA) Short term Debt (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Short term Debt at Euroseas came in at $19.15 million, down 48.1% from the prior year.
- Short term Debt shows a five-year compound annual growth rate of -93.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Short term Debt was $36.93 million in the year ended Dec 31, 2024 (+19.8%), $30.84 million in the year ended Dec 31, 2023 (-44.4%), $55.42 million in the year ended Dec 31, 2022 (-100.0%) and $29.03 trillion in the year ended Dec 31, 2021 (+40.6%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Short term Debt since the quarter ended Sep 30, 2021.
- Compared with a year earlier, Short term Debt has declined for four straight quarters, with an average decline of 15.2% over the last eight quarters.
- The best year-over-year quarter for Short term Debt over five years was the quarter ended Sep 30, 2022 (growth of 168.8%); the worst was the quarter ended Dec 31, 2022 (a decline of 100.0%).
- Per Business Quant data, ESEA's Short term Debt in the three quarters before the quarter ended Jun 30, 2026 was $18.3 million (quarter ended Mar 31, 2026), $19.15 million (quarter ended Dec 31, 2025) and $20 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - |
| 10 | Euroseas | 465.57 Mn | -100,210.94 Bn | 44.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.70 Mn |
| Mar 31, 2026 | 18.30 Mn |
| Dec 31, 2025 | 19.15 Mn |
| Sep 30, 2025 | 20,001.93 Bn |
| Jun 30, 2025 | 20.85 Mn |
| Mar 31, 2025 | 30,301.93 Bn |
| Dec 31, 2024 | 36.93 Mn |
| Sep 30, 2024 | 37.59 Mn |
| Jun 30, 2024 | 20.85 Mn |
| Mar 31, 2024 | 38.61 Mn |
| Dec 31, 2023 | 30.84 Mn |
| Sep 30, 2023 | 29.04 Mn |
| Jun 30, 2023 | 27.83 Mn |
| Mar 31, 2023 | 50.53 Mn |
| Dec 31, 2022 | 55.42 Mn |
| Sep 30, 2022 | 39.77 Mn |
| Jun 30, 2022 | 39.64 Mn |
| Mar 31, 2022 | 34.05 Mn |
| Dec 31, 2021 | 29.03 Mn |
| Sep 30, 2021 | 14.79 Mn |
Euroseas Short term Debt 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=short-term-debt&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();