EuroDry (EDRY) Non-Current Debt (2017 - 2026)
EuroDry (EDRY) reported Non-Current Debt of $3.3 million for FY2018, up 260.3% from $915,525 in FY2017.
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Analysis
EuroDry (EDRY) Non-Current Debt (2017 - 2026) Analysis & Trends
- According to Business Quant data, Non-Current Debt came in at $915,525 in FY2017 (-89.6%) and $8.82 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 29.04 Bn |
| 2 | Csx | 89.36 Bn | 85.56 Bn | - | 17.16 Bn |
| 3 | United Parcel Service | 84.21 Bn | 61.10 Bn | - | 23.85 Bn |
| 4 | Canadian Pacific Kansas City | 77.59 Bn | 76.61 Bn | - | 15.66 Bn |
| 5 | Norfolk Southern | 73.10 Bn | 67.74 Bn | - | 15.97 Bn |
| 6 | Fedex | 71.17 Bn | 37.12 Bn | - | 23.29 Bn |
| 7 | Delta Air Lines | 50.46 Bn | 32.65 Bn | - | 9.53 Bn |
| 8 | Old Dominion Freight Line | 39.26 Bn | 38.52 Bn | - | - |
| 9 | United Airlines Holdings | 32.06 Bn | -24.31 Bn | - | 24.29 Bn |
| 10 | EuroDry | 129.25 Mn | 57.58 Mn | 16.17 Mn | 75.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.65 Mn |
| Mar 31, 2026 | 88.35 Mn |
| Dec 31, 2025 | 90.87 Mn |
| Sep 30, 2025 | 84.88 Mn |
| Jun 30, 2025 | 88.88 Mn |
| Mar 31, 2025 | 91.61 Mn |
| Dec 31, 2024 | 95.38 Mn |
| Jun 30, 2024 | 83.74 Mn |
| Mar 31, 2024 | 83.75 Mn |
| Dec 31, 2023 | 86.12 Mn |
| Jun 30, 2023 | 66.62 Mn |
| Mar 31, 2023 | 56.02 Mn |
| Dec 31, 2022 | 58.36 Mn |
| Sep 30, 2022 | 60.70 Mn |
| Jun 30, 2022 | 48.12 Mn |
| Mar 31, 2022 | 61.97 Mn |
| Dec 31, 2021 | 64.70 Mn |
| Sep 30, 2021 | 61.81 Mn |
| Jun 30, 2021 | 47.36 Mn |
| Mar 31, 2021 | 41.59 Mn |
API Access
EuroDry Non-Current Debt 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=non-current-debt&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();