Co-Diagnostics (CODX) EBIT (2016 - 2026)
Co-Diagnostics (CODX) reported EBIT of -$6.2 million for Q2 2026, compared with -$8.06 million a year earlier.
Analysis
Co-Diagnostics (CODX) EBIT (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Co-Diagnostics' EBIT came in at -$47.81 million; for FY2025, it came in at -$50.17 million.
- By year, EBIT came in at -$40.08 million in FY2024, -$42.71 million in FY2023, -$26.98 million in FY2022 and $46.06 million in FY2021 (+10.5%).
- The Q2 2026 figure ranks as the highest quarterly EBIT since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 592.60 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 | -6.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.20 Mn |
| Dec 31, 2025 | -26.54 Mn |
| Sep 30, 2025 | -7.01 Mn |
| Jun 30, 2025 | -8.06 Mn |
| Mar 31, 2025 | -8.55 Mn |
| Dec 31, 2024 | -11.91 Mn |
| Sep 30, 2024 | -10.23 Mn |
| Jun 30, 2024 | -7.68 Mn |
| Mar 31, 2024 | -10.26 Mn |
| Dec 31, 2023 | -11.83 Mn |
| Sep 30, 2023 | -8.94 Mn |
| Jun 30, 2023 | -11.99 Mn |
| Mar 31, 2023 | -9.95 Mn |
| Dec 31, 2022 | -26.12 Mn |
| Sep 30, 2022 | -6.54 Mn |
| Jun 30, 2022 | -4.15 Mn |
| Mar 31, 2022 | 9.82 Mn |
| Dec 31, 2021 | 10.31 Mn |
| Sep 30, 2021 | 13.63 Mn |
| Jun 30, 2021 | 11.79 Mn |
API Access
Co-Diagnostics EBIT 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=ebit&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();