Co-Diagnostics (CODX) Capital Expenditures (2016 - 2025)
Co-Diagnostics' Capital Expenditures came in at $131,969 for Q4 2025, up 80.8% from $72,987 a year earlier and up 75.7% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Capital Expenditures (2016 - 2025) Analysis & Trends
For FY2025, Co-Diagnostics' Capital Expenditures was $700,047, down 6.5% from FY2024.
- Capital Expenditures has declined in each of the last three years, with a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $748,352 in FY2024 (-45.2%), $1.37 million in FY2023 (-4.4%), $1.43 million in FY2022 (+113.2%) and $669,463 in FY2021 (-13.6%).
- The five-year range for quarterly Capital Expenditures is $72,987 (Q4 2024) to $507,560 (Q2 2022).
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with growth averaging 23.3%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2025 (growth of 306.6%), and the weakest in Q4 2024 (a decline of 84.3%).
- Business Quant data shows CODX's Capital Expenditures at $75,105 (Q3 2025), $401,060 (Q2 2025) and $91,913 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 131,969.00 |
| Sep 30, 2025 | 75,105.00 |
| Jun 30, 2025 | 401,060.00 |
| Mar 31, 2025 | 91,913.00 |
| Dec 31, 2024 | 72,987.00 |
| Sep 30, 2024 | 174,443.00 |
| Jun 30, 2024 | 98,629.00 |
| Mar 31, 2024 | 402,293.00 |
| Dec 31, 2023 | 464,602.00 |
| Sep 30, 2023 | 236,567.00 |
| Jun 30, 2023 | 484,193.00 |
| Mar 31, 2023 | 179,944.00 |
| Dec 31, 2022 | 293,304.00 |
| Sep 30, 2022 | 230,048.00 |
| Jun 30, 2022 | 507,560.00 |
| Mar 31, 2022 | 396,600.00 |
| Dec 31, 2021 | 121,755.00 |
| Sep 30, 2021 | 165,727.00 |
| Jun 30, 2021 | 242,423.00 |
| Mar 31, 2021 | 139,558.00 |
API Access
Co-Diagnostics Capital Expenditures 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=capital-expenditures&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();