Codexis (CDXS) EBITDA Margin (2009 - 2026)
Codexis (CDXS) reported EBITDA Margin of -30.63% for Q3 2026, up 169.77 percentage points from -200.40% a year earlier and up 33.88 percentage points from the prior quarter.
Codexis (CDXS) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Codexis' EBITDA Margin came in at -10.88%, up 89.88 percentage points year-over-year; for FY2025, it was -49.99%, up 38.79 percentage points from FY2024.
- EBITDA Margin has a five-year change of -18.17 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -88.78% in FY2024 (+0.39 pp), -89.18% in FY2023 (-67.91 pp), -21.27% in FY2022 (-2.58 pp) and -18.70% in FY2021 (+13.12 pp).
- Five-year quarterly EBITDA Margin spans a low of -330.97% in Q3 2023 and a high of 31.59% in Q4 2025.
- Year over year, EBITDA Margin has now increased in each of the last four quarters, with an average year-over-year change of +41.75 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q3 2024 (a gain of 213.54 percentage points); the low point was Q3 2023 (a drop of 304.19 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -64.51% (Q2 2026), -41.85% (Q1 2026) and 31.59% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 20.05% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 9.79% |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | -30.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -30.63% |
| Jun 30, 2026 | -64.51% |
| Mar 31, 2026 | -41.85% |
| Dec 31, 2025 | 31.59% |
| Sep 30, 2025 | -200.40% |
| Jun 30, 2025 | -73.27% |
| Mar 31, 2025 | -252.02% |
| Dec 31, 2024 | -27.30% |
| Sep 30, 2024 | -117.43% |
| Jun 30, 2024 | -265.76% |
| Mar 31, 2024 | -61.82% |
| Dec 31, 2023 | 5.64% |
| Sep 30, 2023 | -330.97% |
| Jun 30, 2023 | -52.27% |
| Mar 31, 2023 | -171.00% |
| Dec 31, 2022 | -38.88% |
| Sep 30, 2022 | -26.78% |
| Jun 30, 2022 | -3.30% |
| Mar 31, 2022 | -20.29% |
| Dec 31, 2021 | -38.43% |
Codexis EBITDA 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=ebitda-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();