Co-Diagnostics (CODX) EPS (Diluted) (2019 - 2026)
Co-Diagnostics' EPS (Diluted) came in at -$1.46 for Q2 2026, compared with -$0.23 a year earlier.
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Analysis
Co-Diagnostics (CODX) EPS (Diluted) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Co-Diagnostics reported EPS (Diluted) of -$10.59; for FY2025, it came in at -$35.25.
- Going back by year, EPS (Diluted) was -$1.24 in FY2024, -$1.20 in FY2023, -$0.45 in FY2022 and $1.23 in FY2021 (-19.2%).
- The five-year range for quarterly EPS (Diluted) is -$19.35 (Q4 2025) to $0.38 (Q3 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.01 Bn | 228.04 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 180.48 Bn | 150.91 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 160.03 Bn | 143.84 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 158.19 Bn | 138.48 Bn | 2.08 Bn | 1.49 |
| 5 | Medtronic | 122.75 Bn | 88.00 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 118.21 Bn | 104.32 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 66.84 Bn | 61.61 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 54.82 Bn | 51.97 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 51.80 Bn | 35.81 Bn | 1.35 Bn | 0.42 |
| 10 | Co-Diagnostics | 2.39 Mn | -37.95 Mn | 120,828.00 | -1.46 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.46 |
| Dec 31, 2025 | -19.35 |
| Sep 30, 2025 | -0.16 |
| Jun 30, 2025 | -0.23 |
| Mar 31, 2025 | -0.24 |
| Dec 31, 2024 | -0.36 |
| Sep 30, 2024 | -0.32 |
| Jun 30, 2024 | -0.25 |
| Mar 31, 2024 | -0.31 |
| Dec 31, 2023 | -0.50 |
| Sep 30, 2023 | -0.20 |
| Jun 30, 2023 | -0.31 |
| Mar 31, 2023 | -0.20 |
| Dec 31, 2022 | -0.70 |
| Sep 30, 2022 | -0.04 |
| Jun 30, 2022 | -0.08 |
| Mar 31, 2022 | 0.34 |
| Dec 31, 2021 | 0.25 |
| Sep 30, 2021 | 0.38 |
| Jun 30, 2021 | 0.33 |
API Access
Co-Diagnostics EPS (Diluted) 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=eps-diluted&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();