Co-Diagnostics (CODX) Price to Earnings (2020 - 2022)
Co-Diagnostics' (CODX) Price to Earnings was 196.32 for Q3 2022, down 2.3% from 200.98 a year earlier and down 3.3% from the prior quarter.
Analysis
Co-Diagnostics (CODX) Price to Earnings (2020 - 2022) Analysis & Trends
For FY2021, Price to Earnings at Co-Diagnostics was 247.15, up 31.8% from FY2020.
- By year, Price to Earnings came in at 187.57 in FY2020.
- Five-year quarterly Price to Earnings spans a low of 154.69 in Q2 2021 and a high of 1553.86 in Q2 2020.
- Year over year, Price to Earnings gained in two of the last six quarters, with an average decline of 13.8%.
- Per Business Quant data, the three quarters before Q3 2022 came in at 203.03 (Q2 2022), 155.67 (Q1 2022) and 247.15 (Q4 2021).
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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 196.32 |
| Jun 30, 2022 | 203.03 |
| Mar 31, 2022 | 155.67 |
| Dec 31, 2021 | 247.15 |
| Sep 30, 2021 | 200.98 |
| Jun 30, 2021 | 154.69 |
| Mar 31, 2021 | 159.48 |
| Dec 31, 2020 | 187.57 |
| Sep 30, 2020 | 410.98 |
| Jun 30, 2020 | 1,553.86 |
API Access
Co-Diagnostics Price to Earnings 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=price-to-earnings&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();