Co-Diagnostics (CODX) Cost of Revenue (2017 - 2026)
Co-Diagnostics (CODX) reported Cost of Revenue of $45,303 for Q2 2026, up 41.1% from $32,106 a year earlier.
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Analysis
Co-Diagnostics (CODX) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Co-Diagnostics' Cost of Revenue came in at $246,090, down 59.4% year-over-year; for FY2025, it came in at $222,377, down 77.7% from FY2024.
- Cost of Revenue has declined for five consecutive years, with a five-year compound annual growth rate of -57.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $999,124 in FY2024 (-76.1%), $4.18 million in FY2023 (-23.6%), $5.48 million in FY2022 (-52.6%) and $11.57 million in FY2021 (-30.2%).
- Five-year quarterly Cost of Revenue spans a low of $21,590 in Q1 2025 and a high of $3.31 million in Q3 2021.
- Year over year, Cost of Revenue gained in two of the last seven quarters, with an average decline of 49.3%.
- The high point for year-over-year Cost of Revenue in five years was Q4 2023 (growth of 475.4%); the low point was Q4 2024 (a decline of 91.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 | 45,303.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45,303.00 |
| 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 |
| Sep 30, 2021 | 3.31 Mn |
| Jun 30, 2021 | 2.50 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();