Codexis (CDXS) Revenue (2010 - 2026)
Codexis (CDXS) posted Revenue of $14.92 million for Q2 2026, down 2.7% from $15.33 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Codexis (CDXS) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Codexis was $77.68 million, up 35.9% year-over-year; for FY2025, it came in at $70.39 million, up 18.6% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Codexis' Revenue was $59.35 million in FY2024 (-15.4%), $70.14 million in FY2023 (-49.4%), $138.59 million in FY2022 (+32.3%) and $104.75 million in FY2021 (+51.7%).
- Quarterly Revenue has run from a low of $7.54 million in Q1 2025 to a high of $38.92 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with growth averaging 25.4%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2026, with growth of 102.1%; the weakest was Q3 2023, with a decline of 73.1%.
- According to Business Quant data, Revenue for the three prior quarters was $15.25 million (Q1 2026), $38.92 million (Q4 2025) and $8.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 14.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.92 Mn |
| Mar 31, 2026 | 15.25 Mn |
| Dec 31, 2025 | 38.92 Mn |
| Sep 30, 2025 | 8.60 Mn |
| Jun 30, 2025 | 15.33 Mn |
| Mar 31, 2025 | 7.54 Mn |
| Dec 31, 2024 | 21.46 Mn |
| Sep 30, 2024 | 12.83 Mn |
| Jun 30, 2024 | 7.98 Mn |
| Mar 31, 2024 | 17.07 Mn |
| Dec 31, 2023 | 26.56 Mn |
| Sep 30, 2023 | 9.28 Mn |
| Jun 30, 2023 | 21.32 Mn |
| Mar 31, 2023 | 12.98 Mn |
| Dec 31, 2022 | 30.38 Mn |
| Sep 30, 2022 | 34.47 Mn |
| Jun 30, 2022 | 38.41 Mn |
| Mar 31, 2022 | 35.34 Mn |
| Dec 31, 2021 | 24.50 Mn |
| Sep 30, 2021 | 36.77 Mn |
API Access
Codexis Revenue 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=revenue&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();