Coda Octopus (CODA) Non Operating Interest Expenses (2010 - 2018)
Coda Octopus (CODA) reported Non Operating Interest Expenses of $9,704 for FY2022 (year ended Oct 31, 2022).
Powered by 
Analysis
Coda Octopus (CODA) Non Operating Interest Expenses (2010 - 2018) Analysis & Trends
Dating back to FY2009, Coda Octopus' Non Operating Interest Expenses record includes 5 fiscal years.
- The FY2022 figure ranks as the highest annual Non Operating Interest Expenses in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 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 Non 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=non-operating-interest-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();