Corcept Therapeutics (CORT) Shares Outstanding (Diluted) (2014 - 2026)
Corcept Therapeutics (CORT) posted Shares Outstanding (Diluted) of 118.39 million for Q2 2026, down 1.7% from 120.49 million a year earlier but up 13.4% from the prior quarter.
Corcept Therapeutics (CORT) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Corcept Therapeutics' Shares Outstanding (Diluted) came in at 119.99 million, up 5.7% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Corcept Therapeutics' Shares Outstanding (Diluted) was 113.48 million in FY2024 (+1.6%), 111.74 million in FY2023 (-3.6%), 115.97 million in FY2022 (-7.9%) and 125.96 million in FY2021 (+1.4%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 104.44 million in Q1 2026 to a high of 125.96 million in Q4 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 9.0%; the weakest was Q1 2026, with a decline of 12.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 104.44 million (Q1 2026), 119.99 million (Q4 2025) and 119.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Corcept Therapeutics | 12.46 Bn | 11.02 Bn | 252.09 Mn | 118.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.39 Mn |
| Mar 31, 2026 | 104.44 Mn |
| Dec 31, 2025 | 119.99 Mn |
| Sep 30, 2025 | 119.44 Mn |
| Jun 30, 2025 | 120.49 Mn |
| Mar 31, 2025 | 119.82 Mn |
| Dec 31, 2024 | 113.48 Mn |
| Sep 30, 2024 | 113.72 Mn |
| Jun 30, 2024 | 111.24 Mn |
| Mar 31, 2024 | 109.92 Mn |
| Dec 31, 2023 | 111.74 Mn |
| Sep 30, 2023 | 111.10 Mn |
| Jun 30, 2023 | 109.59 Mn |
| Mar 31, 2023 | 115.43 Mn |
| Dec 31, 2022 | 115.97 Mn |
| Sep 30, 2022 | 116.62 Mn |
| Jun 30, 2022 | 115.40 Mn |
| Mar 31, 2022 | 115.04 Mn |
| Dec 31, 2021 | 125.96 Mn |
| Sep 30, 2021 | 125.14 Mn |
Corcept Therapeutics Shares Outstanding (Diluted) 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-diluted&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CORT", "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-diluted&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();