Co-Diagnostics (CODX) Revenue (2017 - 2026)
Co-Diagnostics (CODX) posted Revenue of $282,881 for Q3 2026, up 94.6% from $145,380 a year earlier and up 70.3% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Revenue at Co-Diagnostics was $858,888, up 69.1% year-over-year; for FY2025, it was $622,489, down 84.1% from FY2024.
- Annual Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -61.6% (FY2020 to FY2025).
- In prior years, Co-Diagnostics' Revenue was $3.92 million in FY2024 (-42.5%), $6.81 million in FY2023 (-80.1%), $34.22 million in FY2022 (-65.0%) and $97.89 million in FY2021 (+31.3%).
- The Q3 2026 figure stands as the highest quarterly Revenue since Q3 2024.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2026, with growth of 190.3%; the weakest was Q1 2023, with a decline of 97.3%.
- According to Business Quant data, Revenue for the three prior quarters was $166,131 (Q2 2026), $145,954 (Q1 2026) and $263,922 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 12.14 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 13.01 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.55 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.05 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.52 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.14 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.72 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 7.86 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 282,881.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 282,881.00 |
| Jun 30, 2026 | 166,131.00 |
| Mar 31, 2026 | 145,954.00 |
| Dec 31, 2025 | 263,922.00 |
| Sep 30, 2025 | 145,380.00 |
| Jun 30, 2025 | 162,910.00 |
| Mar 31, 2025 | 50,277.00 |
| Dec 31, 2024 | 149,325.00 |
| Sep 30, 2024 | 641,141.00 |
| Jun 30, 2024 | 2.66 Mn |
| Mar 31, 2024 | 467,854.00 |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 2.46 Mn |
| Jun 30, 2023 | 197,806.00 |
| Mar 31, 2023 | 601,957.00 |
| Dec 31, 2022 | 1.40 Mn |
| Sep 30, 2022 | 5.09 Mn |
| Jun 30, 2022 | 5.02 Mn |
| Mar 31, 2022 | 22.70 Mn |
| Dec 31, 2021 | 20.40 Mn |
API Access
Co-Diagnostics Revenue 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=revenue&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();