Co-Diagnostics (CODX) Cash & Equivalents (2016 - 2026)
Co-Diagnostics (CODX) recorded Cash & Equivalents of $714,803 in Q3 2026, down 93.8% from $11.44 million a year earlier and down 80.4% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics reported Cash & Equivalents of $11.88 million, up 304.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -22.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $2.94 million in FY2024 (-80.3%), $14.92 million in FY2023 (-35.1%), $22.97 million in FY2022 (-74.1%) and $88.61 million in FY2021 (+106.2%).
- The Q3 2026 figure is the lowest quarterly Cash & Equivalents since Q2 2017.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 36.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 332.5% in Q1 2026, against a decline of 93.8% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.65 million (Q2 2026), $8.23 million (Q1 2026) and $11.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 714,803.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 714,803.00 |
| Jun 30, 2026 | 3.65 Mn |
| Mar 31, 2026 | 8.23 Mn |
| Dec 31, 2025 | 11.88 Mn |
| Sep 30, 2025 | 11.44 Mn |
| Jun 30, 2025 | 11.12 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 2.94 Mn |
| Sep 30, 2024 | 10.80 Mn |
| Jun 30, 2024 | 13.86 Mn |
| Mar 31, 2024 | 23.10 Mn |
| Dec 31, 2023 | 14.92 Mn |
| Sep 30, 2023 | 10.24 Mn |
| Jun 30, 2023 | 13.83 Mn |
| Mar 31, 2023 | 6.36 Mn |
| Dec 31, 2022 | 22.97 Mn |
| Sep 30, 2022 | 81.51 Mn |
| Jun 30, 2022 | 86.05 Mn |
| Mar 31, 2022 | 97.42 Mn |
| Dec 31, 2021 | 88.61 Mn |
API Access
Co-Diagnostics Cash & Equivalents 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=cash-and-equivalents&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();