Co-Diagnostics (CODX) Non-cash Items (2020)
Co-Diagnostics' Non-cash Items came in at $45,966 for Q2 2020.
Analysis
Co-Diagnostics (CODX) Non-cash Items (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 |
API Access
Co-Diagnostics Non-cash Items 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-cash-items&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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-cash-items&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();