Co-Diagnostics (CODX) Non Operating Interest Expenses (2016 - 2018)
Co-Diagnostics (CODX) reported Non Operating Interest Expenses of $106,437 for FY2019.
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Analysis
Co-Diagnostics (CODX) Non Operating Interest Expenses (2016 - 2018) Analysis & Trends
- Non Operating Interest Expenses has a three-year compound annual growth rate of -23.8% (FY2016 to FY2019).
- According to Business Quant data, Non Operating Interest Expenses came in at $310,233 in FY2017 (+28.9%) and $240,720 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Co-Diagnostics | 2.41 Mn | -37.93 Mn | 120,828.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 141,377.00 |
| Sep 30, 2017 | 14,801.00 |
| Jun 30, 2017 | 154,055.00 |
| Dec 31, 2016 | 80,668.00 |
| Sep 30, 2016 | 57,598.00 |
| Jun 30, 2016 | 52,351.00 |
API Access
Co-Diagnostics 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=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CODX", "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=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();