Co-Diagnostics (CODX) Shares Outstanding (2016 - 2026)
Co-Diagnostics (CODX) posted Weighted Average Shares Outstanding of 6.27 million for Q3 2026, down 83.4% from 37.89 million a year earlier but up 45.5% from the prior quarter.
Co-Diagnostics (CODX) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Co-Diagnostics' Weighted Average Shares Outstanding came in at 1.33 million, down 95.6% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -45.1% (FY2020 to FY2025).
- In prior years, Co-Diagnostics' Weighted Average Shares Outstanding was 30.34 million in FY2024 (+3.4%), 29.35 million in FY2023 (-6.8%), 31.48 million in FY2022 (+9.0%) and 28.87 million in FY2021 (+8.1%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 1.33 million in Q4 2025 to a high of 37.89 million in Q3 2025 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last four quarters, with an average decline of 39.3% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q3 2025, with growth of 24.3%; the weakest was Q4 2025, with a decline of 95.6%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 4.31 million (Q2 2026), 2.25 million (Q1 2026) and 1.33 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 6.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.27 Mn |
| Jun 30, 2026 | 4.31 Mn |
| Mar 31, 2026 | 2.25 Mn |
| Dec 31, 2025 | 1.33 Mn |
| Sep 30, 2025 | 37.89 Mn |
| Jun 30, 2025 | 33.11 Mn |
| Mar 31, 2025 | 32.05 Mn |
| Dec 31, 2024 | 30.34 Mn |
| Sep 30, 2024 | 30.49 Mn |
| Jun 30, 2024 | 30.12 Mn |
| Mar 31, 2024 | 29.84 Mn |
| Dec 31, 2023 | 29.35 Mn |
| Sep 30, 2023 | 29.36 Mn |
| Jun 30, 2023 | 29.09 Mn |
| Mar 31, 2023 | 29.48 Mn |
| Dec 31, 2022 | 31.48 Mn |
| Sep 30, 2022 | 31.32 Mn |
| Jun 30, 2022 | 32.47 Mn |
| Mar 31, 2022 | 33.94 Mn |
| Dec 31, 2021 | 28.87 Mn |
Co-Diagnostics Shares Outstanding 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=shares-outstanding&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();