Codexis (CDXS) EBITDA Margin (2012 - 2026)
Codexis (CDXS) reported EBITDA Margin of -67.17% for Q2 2026, up 8.00 percentage points from -75.17% a year earlier but down 22.86 percentage points from the prior quarter.
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Analysis
Codexis (CDXS) EBITDA Margin (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Codexis' EBITDA Margin came in at -28.90%, up 62.55 percentage points year-over-year; for FY2025, it was -51.84%, up 38.43 percentage points from FY2024.
- EBITDA Margin has a five-year change of -20.03 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -90.27% in FY2024 (-1.10 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 30.62% in Q4 2025.
- Year over year, EBITDA Margin has now increased in each of the last three quarters, with an average year-over-year change of +46.41 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 211.46 percentage points); the low point was Q3 2023 (a drop of 304.19 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -44.31% (Q1 2026), 30.62% (Q4 2025) and -204.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | -67.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -67.17% |
| Mar 31, 2026 | -44.31% |
| Dec 31, 2025 | 30.62% |
| Sep 30, 2025 | -204.55% |
| Jun 30, 2025 | -75.17% |
| Mar 31, 2025 | -255.75% |
| Dec 31, 2024 | -28.57% |
| Sep 30, 2024 | -119.50% |
| Jun 30, 2024 | -269.06% |
| Mar 31, 2024 | -62.30% |
| 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% |
| Sep 30, 2021 | 5.71% |
API Access
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_KEYimport 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();