Euroseas (ESEA) Receivables - Net (2009 - 2026)
Euroseas' Receivables - Net came in at $15.67 million for the quarter ended Jun 30, 2026, up 87.1% from $8.38 million a year earlier and up 27.9% from the prior quarter.
Euroseas (ESEA) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Euroseas' Receivables - Net was $10.16 million, up 123.2% from the prior year.
- Receivables - Net has increased in each of the last three years, though with a five-year compound annual growth rate of -91.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables - Net was $4.55 million in the year ended Dec 31, 2024 (+123.3%), $2.04 million in the year ended Dec 31, 2023 (+255.7%), $572,961 in the year ended Dec 31, 2022 (-55.1%) and $1.27 million in the year ended Dec 31, 2021 (-100.0%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Receivables - Net since the quarter ended Dec 31, 2020.
- Year-over-year, Receivables - Net has increased for 14 consecutive quarters, with growth averaging 128.9% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in the quarter ended Dec 31, 2023 (growth of 255.7%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 100.0%).
- Business Quant data shows ESEA's Receivables - Net at $12.26 million (quarter ended Mar 31, 2026), $10.16 million (quarter ended Dec 31, 2025) and $8.3 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) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.67 Mn |
| Mar 31, 2026 | 12.26 Mn |
| Dec 31, 2025 | 10.16 Mn |
| Sep 30, 2025 | 8.30 Mn |
| Jun 30, 2025 | 8.38 Mn |
| Mar 31, 2025 | 4.85 Mn |
| Dec 31, 2024 | 4.55 Mn |
| Sep 30, 2024 | 3.05 Mn |
| Jun 30, 2024 | 2.78 Mn |
| Mar 31, 2024 | 2.71 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 976,496.00 |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 572,961.00 |
| Sep 30, 2022 | 584,298.00 |
| Jun 30, 2022 | 436,297.00 |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 1.27 Mn |
| Sep 30, 2021 | 1.71 Mn |
Euroseas Receivables - Net 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=receivables-net&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();