Co-Diagnostics (CODX) EBITDA (2016 - 2026)
Co-Diagnostics' EBITDA came in at -$6 million for Q2 2026, compared with -$7.77 million a year earlier.
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Analysis
Co-Diagnostics (CODX) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Co-Diagnostics reported EBITDA of -$46.79 million; for FY2025, it was -$49.06 million.
- Going back by year, EBITDA was -$38.7 million in FY2024, -$41.48 million in FY2023, -$25.7 million in FY2022 and $46.4 million in FY2021 (+10.9%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Co-Diagnostics | 2.36 Mn | -37.98 Mn | 120,828.00 | -6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.00 Mn |
| Dec 31, 2025 | -26.27 Mn |
| Sep 30, 2025 | -6.75 Mn |
| Jun 30, 2025 | -7.77 Mn |
| Mar 31, 2025 | -8.27 Mn |
| Dec 31, 2024 | -11.55 Mn |
| Sep 30, 2024 | -9.88 Mn |
| Jun 30, 2024 | -7.34 Mn |
| Mar 31, 2024 | -9.93 Mn |
| Dec 31, 2023 | -11.51 Mn |
| Sep 30, 2023 | -8.64 Mn |
| Jun 30, 2023 | -11.69 Mn |
| Mar 31, 2023 | -9.63 Mn |
| Dec 31, 2022 | -25.82 Mn |
| Sep 30, 2022 | -6.22 Mn |
| Jun 30, 2022 | -3.72 Mn |
| Mar 31, 2022 | 10.07 Mn |
| Dec 31, 2021 | 10.41 Mn |
| Sep 30, 2021 | 13.72 Mn |
| Jun 30, 2021 | 11.86 Mn |
API Access
Co-Diagnostics 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=ebitda&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();