Euroseas (ESEA) Change in Accured Expenses (2009)
Euroseas (ESEA) posted Change in Accured Expenses of $5.04 million for the year ended Dec 31, 2025, up 92.5% from $2.62 million a year earlier.
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Analysis
Euroseas (ESEA) Change in Accured Expenses (2009) Analysis & Trends
Since the year ended Dec 31, 2009, Euroseas has reported Change in Accured Expenses for 17 years.
- The figure for the year ended Dec 31, 2025 stands as the highest annual Change in Accured Expenses in data going back to the year ended Dec 31, 2009.
- Business Quant data shows ESEA's Change in Accured Expenses at $2.62 million in the year ended Dec 31, 2024, $109,232 in the year ended Dec 31, 2023 (+92.0%), $56,877 in the year ended Dec 31, 2022 (-85.5%) and $393,352 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Euroseas | 510.99 Mn | -110.60 Mn | 113.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2009 | -429,415.00 |
| Sep 30, 2009 | -171,851.00 |
| Jun 30, 2009 | 114,162.00 |
| Mar 31, 2009 | 130,489.00 |
API Access
Euroseas Change in Accured Expenses 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-accured-expenses&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();