EuroDry (EDRY) Total Current Liabilities (2017 - 2026)
EuroDry (EDRY) posted Total Current Liabilities of $27.38 million for Q2 2026, up 49.0% from $18.38 million a year earlier and up 55.9% from the prior quarter.
EuroDry (EDRY) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, EuroDry's Total Current Liabilities came in at $18.72 million, down 0.2% from FY2024.
- Annual Total Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior years, EuroDry's Total Current Liabilities was $18.76 million in FY2024 (-26.4%), $25.48 million in FY2023 (-6.3%), $27.2 million in FY2022 (+53.6%) and $17.71 million in FY2021 (-8.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Current Liabilities increased in two of the last six quarters, with an average decline of 2.7%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 93.8%; the weakest was Q2 2023, with a decline of 41.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $17.56 million (Q1 2026), $18.72 million (Q4 2025) and $18.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 5.61 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 9.13 Bn |
| 10 | EuroDry | 149.79 Mn | 87.47 Mn | 16.17 Mn | 27.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.38 Mn |
| Mar 31, 2026 | 17.56 Mn |
| Dec 31, 2025 | 18.72 Mn |
| Sep 30, 2025 | 18.24 Mn |
| Jun 30, 2025 | 18.38 Mn |
| Mar 31, 2025 | 17.53 Mn |
| Dec 31, 2024 | 18.76 Mn |
| Jun 30, 2024 | 19.44 Mn |
| Mar 31, 2024 | 26.22 Mn |
| Dec 31, 2023 | 25.48 Mn |
| Jun 30, 2023 | 15.27 Mn |
| Mar 31, 2023 | 13.53 Mn |
| Dec 31, 2022 | 27.20 Mn |
| Sep 30, 2022 | 33.18 Mn |
| Jun 30, 2022 | 25.99 Mn |
| Mar 31, 2022 | 17.58 Mn |
| Dec 31, 2021 | 17.71 Mn |
| Sep 30, 2021 | 18.87 Mn |
| Jun 30, 2021 | 22.49 Mn |
| Mar 31, 2021 | 18.24 Mn |
EuroDry Total Current 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-current-liabilities&ticker=EDRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();