EuroDry (EDRY) Operating Interest Expenses (2020 - 2021)
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Analysis
EuroDry (EDRY) Operating Interest Expenses (2020 - 2021) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.36 Bn | 165.89 Bn | - | - |
| 2 | Csx | 89.63 Bn | 85.84 Bn | - | - |
| 3 | United Parcel Service | 85.22 Bn | 62.11 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 78.04 Bn | 77.06 Bn | - | - |
| 5 | Norfolk Southern | 73.56 Bn | 68.20 Bn | - | - |
| 6 | Fedex | 70.94 Bn | 36.89 Bn | - | - |
| 7 | Delta Air Lines | 51.71 Bn | 33.90 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.27 Bn | 38.53 Bn | - | - |
| 9 | United Airlines Holdings | 33.83 Bn | -22.54 Bn | - | - |
| 10 | EuroDry | 128.56 Mn | 56.89 Mn | 16.17 Mn | - |
API Access
EuroDry Operating Interest 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=operating-interest-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();