Co-Diagnostics (CODX) Cost of Revenue (2017 - 2026)
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Analysis
Co-Diagnostics (CODX) Cost of Revenue (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 303,344.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 303,344.00 |
| Jun 30, 2026 | 45,303.00 |
| Mar 31, 2026 | 193,768.00 |
| Dec 31, 2025 | 142,396.00 |
| Sep 30, 2025 | 26,285.00 |
| Jun 30, 2025 | 32,106.00 |
| Mar 31, 2025 | 21,590.00 |
| Dec 31, 2024 | 255,068.00 |
| Sep 30, 2024 | 297,403.00 |
| Jun 30, 2024 | 212,148.00 |
| Mar 31, 2024 | 234,505.00 |
| Dec 31, 2023 | 2.97 Mn |
| Sep 30, 2023 | 255,772.00 |
| Jun 30, 2023 | 459,095.00 |
| Mar 31, 2023 | 502,241.00 |
| Dec 31, 2022 | 515,774.00 |
| Sep 30, 2022 | 767,936.00 |
| Jun 30, 2022 | 915,432.00 |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 2.49 Mn |
API Access
Co-Diagnostics Cost of 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=cost-of-revenue&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();