Co-Diagnostics (CODX) Other Accumulated Expenses (2016 - 2025)
Co-Diagnostics' Other Accumulated Expenses was $18,320 in Q4 2025, down 75.5% from $74,634 a year earlier.
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Analysis
Co-Diagnostics (CODX) Other Accumulated Expenses (2016 - 2025) Analysis & Trends
From Q4 2016 onward, Co-Diagnostics has reported Other Accumulated Expenses for 8 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -55.7% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $74,634 in FY2024 (+188.4%), $25,883 in FY2023 (-92.5%), $346,368 in FY2022 (-61.3%) and $894,458 in FY2021 (-16.4%).
- The Q4 2025 figure marks the lowest quarterly Other Accumulated Expenses in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18,320.00 |
| Dec 31, 2024 | 74,634.00 |
| Dec 31, 2023 | 25,883.00 |
| Dec 31, 2022 | 346,368.00 |
| Dec 31, 2021 | 894,458.00 |
| Dec 31, 2020 | 1.07 Mn |
| Jun 30, 2017 | 75,000.00 |
| Dec 31, 2016 | 75,000.00 |
API Access
Co-Diagnostics Other Accumulated 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=other-accumulated-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();