Co-Diagnostics (CODX) EV to EBITDA (2020 - 2022)
Co-Diagnostics' (CODX) EV to EBITDA came in at 274.36 for Q3 2022, up 71.1% from 160.35 a year earlier and up 49.6% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) EV to EBITDA (2020 - 2022) Analysis & Trends
For the trailing twelve months through Sep 30, 2022, EV to EBITDA at Co-Diagnostics was 247.47, up 57.7% year-over-year; for FY2021, it was 193.33, up 2.1% from FY2020.
- In prior years, Co-Diagnostics' EV to EBITDA was 189.34 in FY2020.
- The Q3 2022 figure stands as the highest quarterly EV to EBITDA since Q3 2020.
- On a year-over-year basis, EV to EBITDA increased in three of the last six quarters, with an average decline of 10.9%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 183.35 (Q2 2022), 134.66 (Q1 2022) and 193.33 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 274.36 |
| Jun 30, 2022 | 183.35 |
| Mar 31, 2022 | 134.66 |
| Dec 31, 2021 | 193.33 |
| Sep 30, 2021 | 160.35 |
| Jun 30, 2021 | 140.36 |
| Mar 31, 2021 | 152.82 |
| Dec 31, 2020 | 189.34 |
| Sep 30, 2020 | 476.27 |
| Jun 30, 2020 | 1,560.47 |
API Access
Co-Diagnostics EV to EBITDA 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-ebitda&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();