Codexis (CDXS) Return on Equity [ROE] (2011 - 2026)
Codexis (CDXS) posted Return on Equity [ROE] of -80.65% for Q2 2026, up 42.81 percentage points from -123.46% a year earlier but down 12.41 percentage points from the prior quarter.
Powered by 
Analysis
Codexis (CDXS) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Codexis' Return on Equity [ROE] came in at -74.88%, up 10.15 percentage points from FY2024.
- Annual Return on Equity [ROE] shows a five-year change of -57.45 percentage points (FY2020 to FY2025).
- In prior years, Codexis' Return on Equity [ROE] was -85.03% in FY2024 (-19.14 pp), -65.89% in FY2023 (-44.16 pp), -21.73% in FY2022 (-9.01 pp) and -12.72% in FY2021 (+4.70 pp).
- Quarterly Return on Equity [ROE] has run from a low of -135.81% in Q3 2025 to a high of -9.05% in Q3 2021 over five years.
- On a year-over-year basis, Return on Equity [ROE] increased in two of the last eight quarters, with an average year-over-year change of -4.38 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q1 2026, with a gain of 59.53 percentage points; the weakest was Q2 2024, with a drop of 63.17 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was -68.24% (Q1 2026), -98.74% (Q4 2025) and -135.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 13.36% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.39% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 7.56% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 17.60% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.44% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -3.90% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 14.31% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 9.53% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.88% |
| 10 | Codexis | 127.03 Mn | -130.02 Mn | 11.40 Mn | -80.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -80.65% |
| Mar 31, 2026 | -68.24% |
| Dec 31, 2025 | -98.74% |
| Sep 30, 2025 | -135.81% |
| Jun 30, 2025 | -123.46% |
| Mar 31, 2025 | -127.77% |
| Dec 31, 2024 | -93.03% |
| Sep 30, 2024 | -92.09% |
| Jun 30, 2024 | -108.53% |
| Mar 31, 2024 | -78.52% |
| Dec 31, 2023 | -85.60% |
| Sep 30, 2023 | -75.73% |
| Jun 30, 2023 | -45.36% |
| Mar 31, 2023 | -35.34% |
| Dec 31, 2022 | -22.47% |
| Sep 30, 2022 | -19.88% |
| Jun 30, 2022 | -11.91% |
| Mar 31, 2022 | -12.73% |
| Dec 31, 2021 | -12.76% |
| Sep 30, 2021 | -9.05% |
API Access
Codexis Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();