Codexis (CDXS) Net Margin (2010 - 2026)
Codexis' Net Margin was -80.49% in Q2 2026, up 6.10 percentage points from -86.59% a year earlier but down 23.41 percentage points from the prior quarter.
Powered by 
Analysis
Codexis (CDXS) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Codexis' Net Margin was -39.55% through Jun 30, 2026, up 74.11 percentage points year-over-year; for FY2025, it was -62.47%, up 47.52 percentage points from FY2024.
- Net Margin shows a five-year change of -27.71 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -109.99% in FY2024 (-1.30 pp), -108.69% in FY2023 (-84.45 pp), -24.24% in FY2022 (-3.93 pp) and -20.31% in FY2021 (+14.46 pp).
- Quarterly Net Margin has moved between -376.29% (Q3 2023) and 24.67% (Q4 2025) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +51.87 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q1 2026 (a gain of 217.18 percentage points); the worst was Q3 2023 (a drop of 347.30 percentage points).
- Per Business Quant data, CDXS's Net Margin in the three quarters before Q2 2026 was -57.08% (Q1 2026), 24.67% (Q4 2025) and -228.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | -80.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -80.49% |
| Mar 31, 2026 | -57.08% |
| Dec 31, 2025 | 24.67% |
| Sep 30, 2025 | -228.05% |
| Jun 30, 2025 | -86.59% |
| Mar 31, 2025 | -274.27% |
| Dec 31, 2024 | -48.35% |
| Sep 30, 2024 | -160.84% |
| Jun 30, 2024 | -285.19% |
| Mar 31, 2024 | -67.39% |
| Dec 31, 2023 | -27.08% |
| Sep 30, 2023 | -376.29% |
| Jun 30, 2023 | -54.04% |
| Mar 31, 2023 | -174.22% |
| Dec 31, 2022 | -41.49% |
| Sep 30, 2022 | -28.99% |
| Jun 30, 2022 | -6.87% |
| Mar 31, 2022 | -23.64% |
| Dec 31, 2021 | -41.59% |
| Sep 30, 2021 | 6.10% |
API Access
Codexis Net 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=net-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();