Co-Diagnostics (CODX) Long-Term Investments (2023 - 2026)
Co-Diagnostics' Long-Term Investments was $435,051 in Q2 2026, down 39.2% from $715,861 a year earlier.
Analysis
Co-Diagnostics (CODX) Long-Term Investments (2023 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Co-Diagnostics came in at $350,569, up 19.1% from FY2024.
- In earlier years, Long-Term Investments was $294,304 in FY2024 (-61.9%) and $773,382 in FY2023.
- Quarterly Long-Term Investments has moved between $294,304 (Q4 2024) and $784,357 (Q3 2024) over five years.
- Compared with a year earlier, Long-Term Investments was higher in two of the last five quarters, with an average decline of 16.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 1.11 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 2.76 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 2.25 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 244.10 Mn |
| 10 | Co-Diagnostics | 2.41 Mn | -37.93 Mn | 120,828.00 | 435,051.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435,051.00 |
| Dec 31, 2025 | 350,569.00 |
| Sep 30, 2025 | 659,903.00 |
| Jun 30, 2025 | 715,861.00 |
| Mar 31, 2025 | 729,621.00 |
| Dec 31, 2024 | 294,304.00 |
| Sep 30, 2024 | 784,357.00 |
| Jun 30, 2024 | 627,924.00 |
| Dec 31, 2023 | 773,382.00 |
API Access
Co-Diagnostics Long-Term Investments 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=long-term-investments&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();