Co-Diagnostics (CODX) Property, Plant & Equipment (Net) (2016 - 2026)
Co-Diagnostics (CODX) posted Property, Plant & Equipment (Net) of $1.98 million for Q2 2026, down 26.1% from $2.67 million a year earlier.
Powered by 
Analysis
Co-Diagnostics (CODX) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics' Property, Plant & Equipment (Net) came in at $2.27 million, down 17.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior years, Co-Diagnostics' Property, Plant & Equipment (Net) was $2.76 million in FY2024 (-9.0%), $3.04 million in FY2023 (+19.5%), $2.54 million in FY2022 (+31.4%) and $1.93 million in FY2021 (+103.6%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in 1 of the last seven quarters, with an average decline of 13.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2021, with growth of 183.3%; the weakest was Q2 2026, with a decline of 26.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 | 1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 2.49 Mn |
| Jun 30, 2025 | 2.67 Mn |
| Mar 31, 2025 | 2.59 Mn |
| Dec 31, 2024 | 2.76 Mn |
| Sep 30, 2024 | 2.98 Mn |
| Jun 30, 2024 | 3.05 Mn |
| Mar 31, 2024 | 3.18 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 2.51 Mn |
| Dec 31, 2022 | 2.54 Mn |
| Sep 30, 2022 | 2.44 Mn |
| Jun 30, 2022 | 2.42 Mn |
| Mar 31, 2022 | 2.25 Mn |
| Dec 31, 2021 | 1.93 Mn |
| Sep 30, 2021 | 1.52 Mn |
| Jun 30, 2021 | 1.19 Mn |
API Access
Co-Diagnostics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();