Codexis (CDXS) FCF Margin (2009 - 2026)
Codexis (CDXS) posted FCF Margin of -40.73% for Q3 2026, up 50.95 percentage points from -91.68% a year earlier and up 29.95 percentage points from the prior quarter.
Codexis (CDXS) FCF Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, FCF Margin at Codexis was -13.74%, up 102.75 percentage points year-over-year; for FY2025, it was -33.88%, up 56.63 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of -4.61 percentage points (FY2020 to FY2025).
- In prior years, Codexis' FCF Margin was -90.51% in FY2024 (-9.17 pp), -81.34% in FY2023 (-83.49 pp), 2.15% in FY2022 (+28.97 pp) and -26.82% in FY2021 (+2.45 pp).
- Quarterly FCF Margin has run from a low of -199.56% in Q1 2025 to a high of 53.45% in Q3 2022 over five years.
- On a year-over-year basis, FCF Margin has increased in each of the last six quarters, with an average year-over-year change of +26.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q4 2025, with a gain of 135.30 percentage points; the weakest was Q3 2023, with a drop of 236.48 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was -70.67% (Q2 2026), -87.40% (Q1 2026) and 50.29% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 17.41% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 9.41% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 24.89% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 36.44% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.22% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 18.77% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 16.89% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 29.54% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 11.25% |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | -40.73% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -40.73% |
| Jun 30, 2026 | -70.67% |
| Mar 31, 2026 | -87.40% |
| Dec 31, 2025 | 50.29% |
| Sep 30, 2025 | -91.68% |
| Jun 30, 2025 | -133.62% |
| Mar 31, 2025 | -199.56% |
| Dec 31, 2024 | -85.00% |
| Sep 30, 2024 | -109.02% |
| Jun 30, 2024 | -157.45% |
| Mar 31, 2024 | -52.24% |
| Dec 31, 2023 | -40.12% |
| Sep 30, 2023 | -183.03% |
| Jun 30, 2023 | -82.86% |
| Mar 31, 2023 | -90.52% |
| Dec 31, 2022 | 16.30% |
| Sep 30, 2022 | 53.45% |
| Jun 30, 2022 | -10.73% |
| Mar 31, 2022 | -46.05% |
| Dec 31, 2021 | -19.67% |
Codexis FCF Margin 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=fcf-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();