Codexis (CDXS) Selling, General & Administrative (2010 - 2026)
Codexis (CDXS) reported Selling, General & Administrative of $10.93 million for Q2 2026, down 11.3% from $12.32 million a year earlier but up 11.7% from the prior quarter.
Codexis (CDXS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Codexis' Selling, General & Administrative came in at $43.11 million, down 15.9% year-over-year; for FY2025, it was $47.07 million, down 14.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $55.15 million in FY2024 (+3.6%), $53.25 million in FY2023 (+2.1%), $52.17 million in FY2022 (+5.8%) and $49.32 million in FY2021 (+40.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $9.78 million in Q1 2026 and a high of $15.71 million in Q1 2022.
- Year over year, Selling, General & Administrative has now declined in each of the last six quarters, with an average decline of 9.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 52.4%); the low point was Q2 2025 (a decline of 21.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.78 million (Q1 2026), $11.19 million (Q4 2025) and $11.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 10.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.93 Mn |
| Mar 31, 2026 | 9.78 Mn |
| Dec 31, 2025 | 11.19 Mn |
| Sep 30, 2025 | 11.22 Mn |
| Jun 30, 2025 | 12.32 Mn |
| Mar 31, 2025 | 12.36 Mn |
| Dec 31, 2024 | 13.05 Mn |
| Sep 30, 2024 | 13.57 Mn |
| Jun 30, 2024 | 15.67 Mn |
| Mar 31, 2024 | 12.86 Mn |
| Dec 31, 2023 | 12.18 Mn |
| Sep 30, 2023 | 12.30 Mn |
| Jun 30, 2023 | 13.37 Mn |
| Mar 31, 2023 | 15.40 Mn |
| Dec 31, 2022 | 12.31 Mn |
| Sep 30, 2022 | 13.50 Mn |
| Jun 30, 2022 | 10.66 Mn |
| Mar 31, 2022 | 15.71 Mn |
| Dec 31, 2021 | 11.72 Mn |
| Sep 30, 2021 | 13.41 Mn |
Codexis Selling, General & Administrative 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=selling-general-and-administrative&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();