Codexis (CDXS) Shares Outstanding (Entity) (2009 - 2026)
Codexis (CDXS) recorded Shares Outstanding (Entity) of 109.52 million in Q3 2026, up 21.3% from 90.28 million a year earlier and up 19.8% from the prior quarter.
Codexis (CDXS) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Codexis reported Shares Outstanding (Entity) of 90.48 million, up 10.5% from FY2024.
- Annual Shares Outstanding (Entity) has increased for 16 straight years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 81.85 million in FY2024 (+17.1%), 69.91 million in FY2023 (+6.2%), 65.81 million in FY2022 (+1.1%) and 65.11 million in FY2021 (+1.3%).
- The Q3 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for 62 consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 1.1% in Q4 2022 to 27.3% in Q2 2025.
- Per Business Quant, the preceding three quarters came in at 91.39 million (Q2 2026), 90.89 million (Q1 2026) and 90.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.52 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 | 703.40 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 346.60 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 | 380.69 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 | 575.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 1.32 Bn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | 109.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.52 Mn |
| Jun 30, 2026 | 91.39 Mn |
| Mar 31, 2026 | 90.89 Mn |
| Dec 31, 2025 | 90.48 Mn |
| Sep 30, 2025 | 90.28 Mn |
| Jun 30, 2025 | 90.25 Mn |
| Mar 31, 2025 | 82.84 Mn |
| Dec 31, 2024 | 81.85 Mn |
| Sep 30, 2024 | 81.38 Mn |
| Jun 30, 2024 | 70.91 Mn |
| Mar 31, 2024 | 70.55 Mn |
| Dec 31, 2023 | 69.91 Mn |
| Sep 30, 2023 | 69.83 Mn |
| Jun 30, 2023 | 69.80 Mn |
| Mar 31, 2023 | 66.70 Mn |
| Dec 31, 2022 | 65.81 Mn |
| Sep 30, 2022 | 65.61 Mn |
| Jun 30, 2022 | 65.49 Mn |
| Mar 31, 2022 | 65.30 Mn |
| Dec 31, 2021 | 65.11 Mn |
Codexis Shares Outstanding (Entity) 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-entity&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();