Coda Octopus (CODA) Interest Expenses (2010 - 2018)
Coda Octopus (CODA) posted Interest Expenses of $9,704 for FY2022 (year ended Oct 31, 2022).
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Analysis
Coda Octopus (CODA) Interest Expenses (2010 - 2018) Analysis & Trends
Since FY2009, Coda Octopus has reported Interest Expenses for 5 fiscal years.
- The FY2022 figure stands as the highest annual Interest Expenses in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 231.00 Mn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | - |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 266.00 Mn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 109.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 158.00 Mn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | - |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Coda Octopus | 104.17 Mn | -17.29 Mn | 5.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2018 | -102,748.00 |
| Oct 31, 2017 | -100,581.00 |
| Jul 31, 2017 | -112,089.00 |
| Apr 30, 2017 | -188,847.00 |
| Jan 31, 2017 | -195,494.00 |
| Oct 31, 2016 | -239,923.00 |
| Jul 31, 2016 | -217,471.00 |
| Apr 30, 2016 | -169,816.00 |
| Apr 30, 2011 | -488,949.00 |
| Jan 31, 2011 | -419,118.00 |
| Apr 30, 2010 | -454,802.00 |
| Jan 31, 2010 | -441,582.00 |
API Access
Coda Octopus 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=interest-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CODA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();