Co-Diagnostics (CODX) Accumulated Expenses (2016 - 2026)
Co-Diagnostics (CODX) posted Accumulated Expenses of $850,200 for Q3 2026, down 29.4% from $1.2 million a year earlier and down 5.4% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics' Accumulated Expenses came in at $865,301, down 66.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- In prior years, Co-Diagnostics' Accumulated Expenses was $2.56 million in FY2024 (+17.9%), $2.17 million in FY2023 (+132.5%), $934,447 in FY2022 (-75.8%) and $3.86 million in FY2021 (+35.5%).
- The Q3 2026 figure stands as the lowest quarterly Accumulated Expenses since Q3 2020.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 18.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 132.5%; the weakest was Q4 2022, with a decline of 75.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $899,183 (Q2 2026), $1.36 million (Q1 2026) and $865,301 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 850,200.00 |
| Jun 30, 2026 | 899,183.00 |
| Mar 31, 2026 | 1.36 Mn |
| Dec 31, 2025 | 865,301.00 |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.01 Mn |
| Mar 31, 2025 | 1.61 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 1.83 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 2.17 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 1.63 Mn |
| Mar 31, 2023 | 1.49 Mn |
| Dec 31, 2022 | 934,447.00 |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 3.86 Mn |
API Access
Co-Diagnostics 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=accumulated-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();