Codexis (CDXS) Return on Capital Employed [ROCE] (2010 - 2026)
Codexis (CDXS) recorded Return on Capital Employed [ROCE] of -16.47% in Q3 2026, up 36.48 percentage points from -52.95% a year earlier and up 10.86 percentage points from the prior quarter.
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Analysis
Codexis (CDXS) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Codexis reported Return on Capital Employed [ROCE] of -33.91%, up 15.21 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -19.00 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -49.12% in FY2024 (-5.94 pp), -43.18% in FY2023 (-25.68 pp), -17.50% in FY2022 (-6.19 pp) and -11.31% in FY2021 (+3.60 pp).
- The Q3 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +14.37 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 36.48 percentage points in Q3 2026, against a drop of 44.06 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -27.33% (Q2 2026), -23.68% (Q1 2026) and -37.75% (Q4 2025).
Peer Set
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 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | -16.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.47% |
| Jun 30, 2026 | -27.33% |
| Mar 31, 2026 | -23.68% |
| Dec 31, 2025 | -37.75% |
| Sep 30, 2025 | -52.95% |
| Jun 30, 2025 | -48.38% |
| Mar 31, 2025 | -56.85% |
| Dec 31, 2024 | -46.83% |
| Sep 30, 2024 | -48.49% |
| Jun 30, 2024 | -60.23% |
| Mar 31, 2024 | -49.39% |
| Dec 31, 2023 | -62.06% |
| Sep 30, 2023 | -57.39% |
| Jun 30, 2023 | -34.06% |
| Mar 31, 2023 | -25.60% |
| Dec 31, 2022 | -18.00% |
| Sep 30, 2022 | -15.75% |
| Jun 30, 2022 | -9.78% |
| Mar 31, 2022 | -10.38% |
| Dec 31, 2021 | -11.15% |
API Access
Codexis 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=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CDXS", "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=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();