Codexis (CDXS) Return on Assets [ROA] (2011 - 2026)
Codexis' Return on Assets [ROA] came in at -24.64% for Q2 2026, up 24.01 percentage points from -48.65% a year earlier but down 1.55 percentage points from the prior quarter.
Codexis (CDXS) Return on Assets [ROA] (2011 - 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 five-year range for quarterly Return on Assets [ROA] is -54.24% (Q2 2024) to -6.82% (Q3 2021).
- Year-over-year, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of +8.56 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q1 2026 (a gain of 30.50 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 -23.08% (Q1 2026), -32.36% (Q4 2025) and -48.78% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.85% |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | -24.64% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -6.82% |
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_KEY
import 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();