Codexis (CDXS) Shares Outstanding (2009 - 2026)
Codexis (CDXS) reported Weighted Average Shares Outstanding of 107.26 million for Q3 2026, up 18.8% from 90.25 million a year earlier and up 17.8% from the prior quarter.
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Analysis
Codexis (CDXS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Codexis posted Weighted Average Shares Outstanding of 87.14 million, up 18.7% from FY2024.
- Weighted Average Shares Outstanding has increased for 11 consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 73.41 million in FY2024 (+7.7%), 68.13 million in FY2023 (+4.3%), 65.34 million in FY2022 (+1.2%) and 64.57 million in FY2021 (+8.8%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2009.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 47 quarters, with growth averaging 15.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 1.2% (Q4 2022) and 25.3% (Q3 2025) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 91.05 million (Q2 2026), 90.77 million (Q1 2026) and 87.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | 107.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 107.26 Mn |
| Jun 30, 2026 | 91.05 Mn |
| Mar 31, 2026 | 90.77 Mn |
| Dec 31, 2025 | 87.14 Mn |
| Sep 30, 2025 | 90.25 Mn |
| Jun 30, 2025 | 85.39 Mn |
| Mar 31, 2025 | 82.41 Mn |
| Dec 31, 2024 | 73.41 Mn |
| Sep 30, 2024 | 72.03 Mn |
| Jun 30, 2024 | 70.38 Mn |
| Mar 31, 2024 | 69.85 Mn |
| Dec 31, 2023 | 68.13 Mn |
| Sep 30, 2023 | 69.47 Mn |
| Jun 30, 2023 | 67.57 Mn |
| Mar 31, 2023 | 65.93 Mn |
| Dec 31, 2022 | 65.34 Mn |
| Sep 30, 2022 | 65.43 Mn |
| Jun 30, 2022 | 65.29 Mn |
| Mar 31, 2022 | 65.10 Mn |
| Dec 31, 2021 | 64.57 Mn |
API Access
Codexis Shares Outstanding 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=shares-outstanding&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();