EuroDry (EDRY) Other Accumulated Expenses (2017 - 2025)
EuroDry (EDRY) posted Other Accumulated Expenses of $1.08 million for Q4 2025, down 48.3% from $2.08 million a year earlier.
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Analysis
EuroDry (EDRY) Other Accumulated Expenses (2017 - 2025) Analysis & Trends
Since Q4 2017, EuroDry has reported Other Accumulated Expenses for 10 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- In prior years, EuroDry's Other Accumulated Expenses was $2.08 million in FY2024 (+130.4%), $902,441 in FY2023 (+80.2%), $500,664 in FY2022 (+97.3%) and $253,757 in FY2021 (-27.7%).
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 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 | - |
| 6 | Fedex | 68.71 Bn | 34.65 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 | EuroDry | 161.52 Mn | 99.20 Mn | 16.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 902,441.00 |
| Dec 31, 2022 | 500,664.00 |
| Dec 31, 2021 | 253,757.00 |
| Jun 30, 2021 | 2.70 Mn |
| Dec 31, 2020 | 351,085.00 |
| Dec 31, 2019 | 586,186.00 |
| Dec 31, 2018 | 694,437.00 |
| Dec 31, 2017 | 449,818.00 |
API Access
EuroDry Other Accumulated 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=other-accumulated-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "EDRY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();