Codexis (CDXS) Return on Assets [ROA] (2010 - 2026)
Codexis' Return on Assets [ROA] came in at -14.56% for Q3 2026, up 34.22 percentage points from -48.78% a year earlier and up 10.08 percentage points from the prior quarter.
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Analysis
Codexis (CDXS) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Codexis' Return on Assets [ROA] was -29.63%, up 16.08 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -16.68 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -45.72% in FY2024 (-6.31 pp), -39.41% in FY2023 (-25.88 pp), -13.52% in FY2022 (-4.43 pp) and -9.09% in FY2021 (+3.86 pp).
- The Q3 2026 figure represents the highest quarterly Return on Assets [ROA] since Q4 2022.
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of +12.73 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2026 (a gain of 34.22 percentage points), and the weakest in Q4 2023 (a drop of 38.56 percentage points).
- Business Quant data shows CDXS's Return on Assets [ROA] at -24.64% (Q2 2026), -23.08% (Q1 2026) and -32.36% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
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 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | -14.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -14.56% |
| Jun 30, 2026 | -24.64% |
| Mar 31, 2026 | -23.08% |
| Dec 31, 2025 | -32.36% |
| Sep 30, 2025 | -48.78% |
| Jun 30, 2025 | -48.65% |
| Mar 31, 2025 | -53.59% |
| Dec 31, 2024 | -43.93% |
| Sep 30, 2024 | -44.32% |
| Jun 30, 2024 | -54.24% |
| Mar 31, 2024 | -45.52% |
| Dec 31, 2023 | -52.40% |
| Sep 30, 2023 | -45.21% |
| Jun 30, 2023 | -26.71% |
| Mar 31, 2023 | -20.43% |
| Dec 31, 2022 | -13.83% |
| Sep 30, 2022 | -13.26% |
| Jun 30, 2022 | -8.06% |
| Mar 31, 2022 | -8.54% |
| Dec 31, 2021 | -8.98% |
API Access
Codexis 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=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();