Co-Diagnostics (CODX) Assets (2016 - 2026)
Co-Diagnostics (CODX) recorded Assets of $12.79 million in Q3 2026, down 71.4% from $44.74 million a year earlier and down 22.9% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics reported Assets of $24.74 million, down 61.1% from FY2024.
- Annual Assets has declined for four straight years, with a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- Across earlier years, Assets came in at $63.56 million in FY2024 (-33.3%), $95.32 million in FY2023 (-22.6%), $123.09 million in FY2022 (-23.1%) and $160.03 million in FY2021 (+124.6%).
- The Q3 2026 figure is the lowest quarterly Assets since Q4 2019.
- On a year-over-year basis, Assets has declined for 16 consecutive quarters, with an average decline of 51.0% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 124.6% in Q4 2021, against a decline of 71.4% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.59 million (Q2 2026), $21.5 million (Q1 2026) and $24.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 114.23 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 108.25 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 93.28 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 19.35 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 47.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 45.46 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 14.14 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 40.18 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 12.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.79 Mn |
| Jun 30, 2026 | 16.59 Mn |
| Mar 31, 2026 | 21.50 Mn |
| Dec 31, 2025 | 24.74 Mn |
| Sep 30, 2025 | 44.74 Mn |
| Jun 30, 2025 | 46.47 Mn |
| Mar 31, 2025 | 55.15 Mn |
| Dec 31, 2024 | 63.56 Mn |
| Sep 30, 2024 | 72.38 Mn |
| Jun 30, 2024 | 80.70 Mn |
| Mar 31, 2024 | 86.67 Mn |
| Dec 31, 2023 | 95.32 Mn |
| Sep 30, 2023 | 108.68 Mn |
| Jun 30, 2023 | 112.80 Mn |
| Mar 31, 2023 | 117.00 Mn |
| Dec 31, 2022 | 123.09 Mn |
| Sep 30, 2022 | 147.84 Mn |
| Jun 30, 2022 | 160.84 Mn |
| Mar 31, 2022 | 171.15 Mn |
| Dec 31, 2021 | 160.03 Mn |
API Access
Co-Diagnostics Assets 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=assets&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();