Euroseas (ESEA) Receivables (2009 - 2026)
Euroseas' Receivables was $18.39 million in the quarter ended Jun 30, 2026, up 85.7% from $9.9 million a year earlier and up 38.5% from the prior quarter.
Euroseas (ESEA) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Euroseas came in at $11.53 million, up 116.4% from the prior year.
- Receivables shows a five-year compound annual growth rate of -92.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $5.33 million in the year ended Dec 31, 2024 (+23.5%), $4.31 million in the year ended Dec 31, 2023 (-29.1%), $6.09 million in the year ended Dec 31, 2022 (+103.1%) and $3 million in the year ended Dec 31, 2021 (-100.0%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Receivables since the quarter ended Dec 31, 2020.
- Compared with a year earlier, Receivables has increased for seven straight quarters, with growth averaging 60.6% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was the quarter ended Sep 30, 2023 (growth of 664.3%); the worst was the quarter ended Dec 31, 2021 (a decline of 100.0%).
- Per Business Quant data, ESEA's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $13.28 million (quarter ended Mar 31, 2026), $11.53 million (quarter ended Dec 31, 2025) and $9.77 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 2.13 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.46 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 10.71 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.59 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.18 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 4.33 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 618.02 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.47 Bn |
| 10 | Euroseas | 465.57 Mn | -100,210.94 Bn | 44.87 Mn | 18.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.39 Mn |
| Mar 31, 2026 | 13.28 Mn |
| Dec 31, 2025 | 11.53 Mn |
| Sep 30, 2025 | 9,773.85 Bn |
| Jun 30, 2025 | 9.90 Mn |
| Mar 31, 2025 | 6,122.83 Bn |
| Dec 31, 2024 | 5.33 Mn |
| Sep 30, 2024 | 5.18 Mn |
| Jun 30, 2024 | 5.10 Mn |
| Mar 31, 2024 | 5.67 Mn |
| Dec 31, 2023 | 4.31 Mn |
| Sep 30, 2023 | 10.16 Mn |
| Jun 30, 2023 | 8.77 Mn |
| Mar 31, 2023 | 11.03 Mn |
| Dec 31, 2022 | 6.09 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.49 Mn |
| Mar 31, 2022 | 2.28 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 2.75 Mn |
Euroseas Receivables 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&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();