Euroseas (ESEA) Change in Receivables (2009)
Euroseas (ESEA) posted Change in Receivables of -$5.87 million for the year ended Dec 31, 2025, compared with -$2.51 million a year earlier.
Powered by 
Analysis
Euroseas (ESEA) Change in Receivables (2009) Analysis & Trends
Since the year ended Dec 31, 2009, Euroseas has reported Change in Receivables for 17 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Change in Receivables in data going back to the year ended Dec 31, 2009.
- Business Quant data shows ESEA's Change in Receivables at -$2.51 million in the year ended Dec 31, 2024, -$1.46 million in the year ended Dec 31, 2023, $701,768 in the year ended Dec 31, 2022 (-4.9%) and $738,294 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 144.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 70.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 755.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 55.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.16 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 | -59.98 Mn |
| 10 | Euroseas | 503.23 Mn | -118.36 Mn | 113.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2009 | 701,898.00 |
| Sep 30, 2009 | -208,215.00 |
| Jun 30, 2009 | 31,400.00 |
| Mar 31, 2009 | -108,265.00 |
API Access
Euroseas Change in 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=change-in-receivables&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();