Co-Diagnostics (CODX) Return on Capital Employed [ROCE] (2017 - 2026)
Co-Diagnostics (CODX) recorded Return on Capital Employed [ROCE] of -395.92% in Q3 2026, down 311.14 percentage points from -84.78% a year earlier and down 93.32 percentage points from the prior quarter.
Co-Diagnostics (CODX) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Co-Diagnostics reported Return on Capital Employed [ROCE] of -123.52%, down 67.95 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for five straight years, with a five-year change of -251.17 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -55.57% in FY2024 (-14.29 pp), -41.28% in FY2023 (-21.68 pp), -19.60% in FY2022 (-64.30 pp) and 44.71% in FY2021 (-82.94 pp).
- The Q3 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q3 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for nine consecutive quarters, with an average year-over-year change of -116.08 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 0.36 percentage points in Q2 2024, against a drop of 311.14 percentage points in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -302.59% (Q2 2026), -269.80% (Q1 2026) and -160.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.76% |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -395.92% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -395.92% |
| Jun 30, 2026 | -302.59% |
| Mar 31, 2026 | -269.80% |
| Dec 31, 2025 | -160.78% |
| Sep 30, 2025 | -84.78% |
| Jun 30, 2025 | -82.28% |
| Mar 31, 2025 | -71.09% |
| Dec 31, 2024 | -66.08% |
| Sep 30, 2024 | -56.54% |
| Jun 30, 2024 | -49.37% |
| Mar 31, 2024 | -50.18% |
| Dec 31, 2023 | -44.37% |
| Sep 30, 2023 | -53.96% |
| Jun 30, 2023 | -49.74% |
| Mar 31, 2023 | -40.16% |
| Dec 31, 2022 | -20.50% |
| Sep 30, 2022 | 6.37% |
| Jun 30, 2022 | 18.59% |
| Mar 31, 2022 | 29.86% |
| Dec 31, 2021 | 38.36% |
Co-Diagnostics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CODX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();