Codexis (CDXS) Operating Margin (2010 - 2026)
Codexis' Operating Margin was -75.29% in Q2 2026, up 8.63 percentage points from -83.91% a year earlier but down 22.54 percentage points from the prior quarter.
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Analysis
Codexis (CDXS) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Codexis' Operating Margin was -35.61% through Jun 30, 2026, up 64.53 percentage points year-over-year; for FY2025, it came in at -59.30%, up 39.31 percentage points from FY2024.
- Operating Margin shows a five-year change of -24.66 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -98.61% in FY2024 (-1.56 pp), -97.04% in FY2023 (-71.87 pp), -25.17% in FY2022 (-3.50 pp) and -21.67% in FY2021 (+12.97 pp).
- Quarterly Operating Margin has moved between -345.59% (Q3 2023) and 27.13% (Q4 2025) over five years.
- Compared with a year earlier, Operating Margin has increased for three straight quarters, with an average year-over-year change of +47.23 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q1 2026 (a gain of 218.84 percentage points); the worst was Q3 2023 (a drop of 314.73 percentage points).
- Per Business Quant data, CDXS's Operating Margin in the three quarters before Q2 2026 was -52.75% (Q1 2026), 27.13% (Q4 2025) and -220.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 29.48% |
| 10 | Codexis | 117.46 Mn | -139.59 Mn | 11.40 Mn | -75.29% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -75.29% |
| Mar 31, 2026 | -52.75% |
| Dec 31, 2025 | 27.13% |
| Sep 30, 2025 | -220.31% |
| Jun 30, 2025 | -83.91% |
| Mar 31, 2025 | -271.59% |
| Dec 31, 2024 | -34.21% |
| Sep 30, 2024 | -129.02% |
| Jun 30, 2024 | -284.90% |
| Mar 31, 2024 | -69.63% |
| Dec 31, 2023 | 1.06% |
| Sep 30, 2023 | -345.59% |
| Jun 30, 2023 | -59.21% |
| Mar 31, 2023 | -182.29% |
| Dec 31, 2022 | -43.62% |
| Sep 30, 2022 | -30.86% |
| Jun 30, 2022 | -6.79% |
| Mar 31, 2022 | -23.73% |
| Dec 31, 2021 | -42.39% |
| Sep 30, 2021 | 3.62% |
API Access
Codexis Operating 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=operating-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();