Co-Diagnostics (CODX) Property, Plant & Equipment (Net) (2016 - 2026)
Co-Diagnostics (CODX) posted Property, Plant & Equipment (Net) of $1.77 million for Q3 2026, down 28.9% from $2.49 million a year earlier and down 10.5% from the prior quarter.
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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 Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last eight quarters, with an average decline of 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 120.4%; the weakest was Q3 2026, with a decline of 28.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $1.98 million (Q2 2026), $2.16 million (Q1 2026) and $2.27 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 1.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.77 Mn |
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 2.16 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 |
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();