Euroseas (ESEA) Prepaid Assets (2009 - 2026)
Euroseas (ESEA) posted Prepaid Assets of $1.03 million for the quarter ended Jun 30, 2026, down 11.4% from $1.17 million a year earlier and down 20.2% from the prior quarter.
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Analysis
Euroseas (ESEA) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Euroseas' Prepaid Assets came in at $984,394, down 26.4% from the prior year.
- Annual Prepaid Assets shows a five-year compound annual growth rate of -91.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Euroseas' Prepaid Assets was $1.34 million in the year ended Dec 31, 2024 (+166.1%), $502,833 in the year ended Dec 31, 2023 (+43.6%), $350,206 in the year ended Dec 31, 2022 (-8.5%) and $382,729 in the year ended Dec 31, 2021 (-100.0%).
- Quarterly Prepaid Assets has run from a low of $350,206 in the quarter ended Dec 31, 2022 to a high of $1.51 million in the quarter ended Mar 31, 2024 over five years.
- On a year-over-year basis, Prepaid Assets increased in five of the last eight quarters, with growth averaging 28.3%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Mar 31, 2024, with growth of 189.7%; the weakest was the quarter ended Dec 31, 2021, with a decline of 100.0%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $1.3 million (quarter ended Mar 31, 2026), $984,394 (quarter ended Dec 31, 2025) and $1.45 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Euroseas | 503.23 Mn | -118.36 Mn | 113.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 984,394.00 |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.34 Mn |
| Sep 30, 2024 | 956,869.00 |
| Jun 30, 2024 | 779,277.00 |
| Mar 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 502,833.00 |
| Sep 30, 2023 | 855,854.00 |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 520,957.00 |
| Dec 31, 2022 | 350,206.00 |
| Sep 30, 2022 | 636,054.00 |
| Jun 30, 2022 | 685,848.00 |
| Mar 31, 2022 | 577,078.00 |
| Dec 31, 2021 | 382,729.00 |
| Sep 30, 2021 | 444,822.00 |
API Access
Euroseas Prepaid 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=prepaid-assets&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();