Codexis (CDXS) Market Capitalization (2010 - 2026)
Codexis (CDXS) posted Market Capitalization of $206.54 million for Q2 2026, down 6.2% from $220.22 million a year earlier but up 39.4% from the prior quarter.
Powered by 
Analysis
Codexis (CDXS) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025, Codexis' Market Capitalization came in at $147.48 million, down 62.2% from FY2024.
- Annual Market Capitalization shows a five-year compound annual growth rate of -36.3% (FY2020 to FY2025).
- In prior years, Codexis' Market Capitalization was $390.42 million in FY2024 (+83.1%), $213.21 million in FY2023 (-30.5%), $306.68 million in FY2022 (-84.9%) and $2.04 billion in FY2021 (+45.1%).
- Quarterly Market Capitalization has run from a low of $131.97 million in Q3 2023 to a high of $2.04 billion in Q4 2021 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last four quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q3 2021, with growth of 116.9%; the weakest was Q4 2022, with a decline of 84.9%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $148.16 million (Q1 2026), $147.48 million (Q4 2025) and $220.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Codexis | 117.46 Mn | -139.59 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.54 Mn |
| Mar 31, 2026 | 148.16 Mn |
| Dec 31, 2025 | 147.48 Mn |
| Sep 30, 2025 | 220.29 Mn |
| Jun 30, 2025 | 220.22 Mn |
| Mar 31, 2025 | 222.84 Mn |
| Dec 31, 2024 | 390.42 Mn |
| Sep 30, 2024 | 250.64 Mn |
| Jun 30, 2024 | 219.83 Mn |
| Mar 31, 2024 | 246.23 Mn |
| Dec 31, 2023 | 213.21 Mn |
| Sep 30, 2023 | 131.97 Mn |
| Jun 30, 2023 | 195.45 Mn |
| Mar 31, 2023 | 276.12 Mn |
| Dec 31, 2022 | 306.68 Mn |
| Sep 30, 2022 | 397.61 Mn |
| Jun 30, 2022 | 685.07 Mn |
| Mar 31, 2022 | 1.35 Bn |
| Dec 31, 2021 | 2.04 Bn |
| Sep 30, 2021 | 1.51 Bn |
API Access
Codexis Market Capitalization 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=market-capitalization&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();