Co-Diagnostics (CODX) Capital Expenditures (2016 - 2026)
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Analysis
Co-Diagnostics (CODX) Capital Expenditures (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 141.00 Mn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 15,001.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15,001.00 |
| Jun 30, 2026 | 168,281.00 |
| Mar 31, 2026 | 142,017.00 |
| 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 |
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();