Euroseas (ESEA) Change in Inventory (2009)
Euroseas' Change in Inventory came in at $165,970 for the year ended Dec 31, 2025, compared with -$652,798 a year earlier.
Powered by 
Analysis
Euroseas (ESEA) Change in Inventory (2009) Analysis & Trends
Going back to the year ended Dec 31, 2009, Euroseas' Change in Inventory data covers 17 years.
- Change in Inventory carries a five-year compound annual growth rate of -6.0% (years ended Dec 2020 to Dec 2025).
- The five-year range for annual Change in Inventory is -$652,798 (the year ended Dec 31, 2024) to $178,138 (the year ended Dec 31, 2023).
- Per Business Quant, earlier years put Change in Inventory at -$652,798 in the year ended Dec 31, 2024, $178,138 in the year ended Dec 31, 2023, -$31,723 in the year ended Dec 31, 2022 and -$612,032 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 81.00 Mn |
| 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 | - | 15.00 Mn |
| 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 | 232,472.37 |
| 10 | Euroseas | 503.23 Mn | -118.36 Mn | 113.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2009 | -16,813.00 |
| Sep 30, 2009 | -68,705.00 |
| Jun 30, 2009 | 59,380.00 |
| Mar 31, 2009 | -116,597.00 |
API Access
Euroseas Change in Inventory 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-inventory&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();