Co-Diagnostics (CODX) Return on Assets [ROA] (2017 - 2026)
Co-Diagnostics (CODX) reported Return on Assets [ROA] of -323.80% for Q3 2026, down 252.55 percentage points from -71.26% a year earlier and down 76.02 percentage points from the prior quarter.
Co-Diagnostics (CODX) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2025, Co-Diagnostics posted Return on Assets [ROA] of -107.16%, down 60.12 percentage points from FY2024.
- Return on Assets [ROA] has declined for five consecutive years, with a five-year change of -222.82 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -47.04% in FY2024 (-14.55 pp), -32.49% in FY2023 (-22.64 pp), -9.85% in FY2022 (-41.55 pp) and 31.70% in FY2021 (-83.96 pp).
- The Q3 2026 figure ranks as the lowest quarterly Return on Assets [ROA] in data going back to Q3 2017.
- Year over year, Return on Assets [ROA] has now declined in each of the last 20 quarters, with an average year-over-year change of -92.73 percentage points over the last eight quarters.
- Over the past five years, the year-over-year drop in Return on Assets [ROA] ranged from 12.37 percentage points (Q2 2024) to 252.55 percentage points (Q3 2026).
- Per Business Quant data, the three quarters before Q3 2026 came in at -247.78% (Q2 2026), -211.21% (Q1 2026) and -136.19% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 6.24% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 4.32% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 4.67% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 14.78% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 9.46% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | -2.00% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 7.71% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 7.24% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 2.20% |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -323.80% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -323.80% |
| Jun 30, 2026 | -247.78% |
| Mar 31, 2026 | -211.21% |
| Dec 31, 2025 | -136.19% |
| Sep 30, 2025 | -71.26% |
| Jun 30, 2025 | -71.30% |
| Mar 31, 2025 | -60.24% |
| Dec 31, 2024 | -54.97% |
| Sep 30, 2024 | -54.20% |
| Jun 30, 2024 | -45.14% |
| Mar 31, 2024 | -43.01% |
| Dec 31, 2023 | -34.78% |
| Sep 30, 2023 | -38.15% |
| Jun 30, 2023 | -32.77% |
| Mar 31, 2023 | -26.27% |
| Dec 31, 2022 | -10.51% |
| Sep 30, 2022 | 9.83% |
| Jun 30, 2022 | 16.87% |
| Mar 31, 2022 | 24.44% |
| Dec 31, 2021 | 27.63% |
Co-Diagnostics Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();