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 | 162.83 Bn | 157.35 Bn | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn |
| 10 | Euroseas | 498.29 Mn | -123.30 Mn | 113.38 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 | 20.00 Mn |
| Jun 30, 2025 | 20.85 Mn |
| Mar 31, 2025 | 30.30 Mn |
| 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 | 29,034.05 Bn |
| 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();