Co-Diagnostics (CODX) Operating Expenses (2016 - 2026)
Co-Diagnostics' Operating Expenses came in at $6.32 million for Q2 2026, down 22.8% from $8.19 million a year earlier.
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Analysis
Co-Diagnostics (CODX) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Co-Diagnostics reported Operating Expenses of $48.31 million, up 23.4% year-over-year; for FY2025, it was $50.57 million, up 17.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $43 million in FY2024 (-5.2%), $45.33 million in FY2023 (-18.6%), $55.72 million in FY2022 (+38.4%) and $40.25 million in FY2021 (+147.4%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2020.
- Year-over-year, Operating Expenses increased in 1 of the last seven quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 255.1%), and the weakest in Q4 2023 (a decline of 54.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.01 Bn | 228.04 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 180.48 Bn | 150.91 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 160.03 Bn | 143.84 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 158.19 Bn | 138.48 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 122.75 Bn | 88.00 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 118.21 Bn | 104.32 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.84 Bn | 61.61 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.82 Bn | 51.97 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.80 Bn | 35.81 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Co-Diagnostics | 2.39 Mn | -37.95 Mn | 120,828.00 | 6.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.32 Mn |
| Dec 31, 2025 | 26.66 Mn |
| Sep 30, 2025 | 7.13 Mn |
| Jun 30, 2025 | 8.19 Mn |
| Mar 31, 2025 | 8.58 Mn |
| Dec 31, 2024 | 11.80 Mn |
| Sep 30, 2024 | 10.58 Mn |
| Jun 30, 2024 | 10.12 Mn |
| Mar 31, 2024 | 10.49 Mn |
| Dec 31, 2023 | 12.41 Mn |
| Sep 30, 2023 | 11.14 Mn |
| Jun 30, 2023 | 11.73 Mn |
| Mar 31, 2023 | 10.05 Mn |
| Dec 31, 2022 | 27.01 Mn |
| Sep 30, 2022 | 10.86 Mn |
| Jun 30, 2022 | 8.25 Mn |
| Mar 31, 2022 | 9.59 Mn |
| Dec 31, 2021 | 7.61 Mn |
| Sep 30, 2021 | 13.16 Mn |
| Jun 30, 2021 | 13.06 Mn |
API Access
Co-Diagnostics Operating Expenses 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=operating-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();