EuroDry (EDRY) Total Liabilities (2016 - 2026)
EuroDry (EDRY) reported Total Liabilities of $103.03 million for Q2 2026, down 4.0% from $107.27 million a year earlier and down 2.7% from the prior quarter.
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Analysis
EuroDry (EDRY) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, EuroDry posted Total Liabilities of $109.59 million, down 4.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $114.14 million in FY2024 (+2.3%), $111.63 million in FY2023 (+30.5%), $85.56 million in FY2022 (+3.8%) and $82.41 million in FY2021 (+13.0%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q2 2023.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with an average decline of 0.9% over the last six quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 57.9%); the low point was Q1 2023 (a decline of 12.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $105.9 million (Q1 2026), $109.59 million (Q4 2025) and $103.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | EuroDry | 149.79 Mn | 87.47 Mn | 16.17 Mn | 103.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.03 Mn |
| Mar 31, 2026 | 105.90 Mn |
| Dec 31, 2025 | 109.59 Mn |
| Sep 30, 2025 | 103.13 Mn |
| Jun 30, 2025 | 107.27 Mn |
| Mar 31, 2025 | 109.14 Mn |
| Dec 31, 2024 | 114.14 Mn |
| Jun 30, 2024 | 103.18 Mn |
| Mar 31, 2024 | 109.97 Mn |
| Dec 31, 2023 | 111.63 Mn |
| Jun 30, 2023 | 81.89 Mn |
| Mar 31, 2023 | 69.64 Mn |
| Dec 31, 2022 | 85.56 Mn |
| Sep 30, 2022 | 93.88 Mn |
| Jun 30, 2022 | 74.11 Mn |
| Mar 31, 2022 | 79.54 Mn |
| Dec 31, 2021 | 82.41 Mn |
| Sep 30, 2021 | 93.76 Mn |
| Jun 30, 2021 | 82.97 Mn |
| Mar 31, 2021 | 73.01 Mn |
API Access
EuroDry Total Liabilities 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=total-liabilities&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();