Co-Diagnostics (CODX) EV to FCF (2020 - 2022)
Co-Diagnostics' (CODX) EV to FCF was 438.17 for Q4 2022, up 97.4% from 221.98 a year earlier and up 115.2% from the prior quarter.
Analysis
Co-Diagnostics (CODX) EV to FCF (2020 - 2022) Analysis & Trends
Dating back to Q3 2020, Co-Diagnostics' EV to FCF record includes 10 quarters.
- By year, EV to FCF came in at 221.98 in FY2021 (-23.2%) and 289.16 in FY2020.
- The Q4 2022 figure ranks as the highest quarterly EV to FCF since Q3 2020.
- Year over year, EV to FCF has now increased in each of the last three quarters, with growth averaging 11.9% over the last six quarters.
- Per Business Quant data, the three quarters before Q4 2022 came in at 203.57 (Q3 2022), 226.69 (Q2 2022) and 173.80 (Q1 2022).
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 |
|---|---|
| Dec 31, 2022 | 438.17 |
| Sep 30, 2022 | 203.57 |
| Jun 30, 2022 | 226.69 |
| Mar 31, 2022 | 173.80 |
| Dec 31, 2021 | 221.98 |
| Sep 30, 2021 | 151.43 |
| Jun 30, 2021 | 135.44 |
| Mar 31, 2021 | 198.84 |
| Dec 31, 2020 | 289.16 |
| Sep 30, 2020 | 1,831.71 |
API Access
Co-Diagnostics EV to FCF 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=ev-to-fcf&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();