Co-Diagnostics (CODX) EBT (2016 - 2026)
Co-Diagnostics' EBT was -$6.26 million in Q2 2026, compared with -$7.72 million a year earlier.
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Analysis
Co-Diagnostics (CODX) EBT (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Co-Diagnostics' EBT was -$47.26 million through Jun 30, 2026; for FY2025, it was -$48.51 million.
- In earlier years, EBT was -$37.58 million in FY2024, -$38.11 million in FY2023, -$18.85 million in FY2022 and $45.64 million in FY2021 (+7.2%).
- The Q2 2026 figure marks the highest quarterly EBT since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 668.40 Mn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 554.00 Mn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 519.80 Mn |
| 10 | Co-Diagnostics | 2.36 Mn | -37.98 Mn | 120,828.00 | -6.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.26 Mn |
| Dec 31, 2025 | -26.22 Mn |
| Sep 30, 2025 | -7.05 Mn |
| Jun 30, 2025 | -7.72 Mn |
| Mar 31, 2025 | -7.52 Mn |
| Dec 31, 2024 | -11.04 Mn |
| Sep 30, 2024 | -9.67 Mn |
| Jun 30, 2024 | -7.58 Mn |
| Mar 31, 2024 | -9.29 Mn |
| Dec 31, 2023 | -10.84 Mn |
| Sep 30, 2023 | -8.10 Mn |
| Jun 30, 2023 | -11.16 Mn |
| Mar 31, 2023 | -8.02 Mn |
| Dec 31, 2022 | -25.04 Mn |
| Sep 30, 2022 | -3.48 Mn |
| Jun 30, 2022 | -3.43 Mn |
| Mar 31, 2022 | 13.10 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Sep 30, 2021 | 13.58 Mn |
| Jun 30, 2021 | 11.93 Mn |
API Access
Co-Diagnostics EBT 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=ebt&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();