Codexis (CDXS) Research & Development (2010 - 2026)
Codexis' Research & Development came in at $11.71 million for Q2 2026, down 15.0% from $13.78 million a year earlier but up 2.2% from the prior quarter.
Codexis (CDXS) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Codexis reported Research & Development of $48.74 million, down 3.1% year-over-year; for FY2025, it was $52.31 million, up 13.1% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Research & Development was $46.26 million in FY2024 (-21.4%), $58.89 million in FY2023 (-26.5%), $80.1 million in FY2022 (+43.2%) and $55.92 million in FY2021 (+26.6%).
- The five-year range for quarterly Research & Development is $11.23 million (Q4 2023) to $21.82 million (Q3 2022).
- Year-over-year, Research & Development has declined for three consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q1 2022 (growth of 68.5%), and the weakest in Q4 2023 (a decline of 42.9%).
- Business Quant data shows CDXS's Research & Development at $11.45 million (Q1 2026), $11.72 million (Q4 2025) and $13.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 11.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.71 Mn |
| Mar 31, 2026 | 11.45 Mn |
| Dec 31, 2025 | 11.72 Mn |
| Sep 30, 2025 | 13.87 Mn |
| Jun 30, 2025 | 13.78 Mn |
| Mar 31, 2025 | 12.94 Mn |
| Dec 31, 2024 | 12.10 Mn |
| Sep 30, 2024 | 11.51 Mn |
| Jun 30, 2024 | 11.41 Mn |
| Mar 31, 2024 | 11.25 Mn |
| Dec 31, 2023 | 11.23 Mn |
| Sep 30, 2023 | 13.66 Mn |
| Jun 30, 2023 | 17.33 Mn |
| Mar 31, 2023 | 16.66 Mn |
| Dec 31, 2022 | 19.69 Mn |
| Sep 30, 2022 | 21.82 Mn |
| Jun 30, 2022 | 19.09 Mn |
| Mar 31, 2022 | 19.50 Mn |
| Dec 31, 2021 | 16.36 Mn |
| Sep 30, 2021 | 15.17 Mn |
Codexis Research & Development 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=research-and-development&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();