Corcept Therapeutics (CORT) Retained Earnings (2010 - 2026)
Corcept Therapeutics (CORT) reported Retained Earnings of $654.61 million for Q2 2026, up 9.2% from $599.43 million a year earlier and up 7.0% from the prior quarter.
Corcept Therapeutics (CORT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Corcept Therapeutics posted Retained Earnings of $643.39 million, up 18.3% from FY2024.
- Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 50.8% (FY2020 to FY2025).
- By year, Retained Earnings came in at $543.74 million in FY2024 (+35.1%), $402.53 million in FY2023 (+35.8%), $296.39 million in FY2022 (+52.0%) and $194.97 million in FY2021 (+136.5%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 21 quarters, with growth averaging 23.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 8.4% (Q1 2026) to 188.5% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $611.63 million (Q1 2026), $643.39 million (Q4 2025) and $619.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 171.67 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -17.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 63.27 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 40.86 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 12.59 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | -22.28 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 2.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 112.09 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 15.69 Bn |
| 10 | Corcept Therapeutics | 12.50 Bn | 11.06 Bn | 252.09 Mn | 654.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 654.61 Mn |
| Mar 31, 2026 | 611.63 Mn |
| Dec 31, 2025 | 643.39 Mn |
| Sep 30, 2025 | 619.10 Mn |
| Jun 30, 2025 | 599.43 Mn |
| Mar 31, 2025 | 564.28 Mn |
| Dec 31, 2024 | 543.74 Mn |
| Sep 30, 2024 | 512.99 Mn |
| Jun 30, 2024 | 465.78 Mn |
| Mar 31, 2024 | 430.29 Mn |
| Dec 31, 2023 | 402.53 Mn |
| Sep 30, 2023 | 371.17 Mn |
| Jun 30, 2023 | 339.79 Mn |
| Mar 31, 2023 | 312.27 Mn |
| Dec 31, 2022 | 296.39 Mn |
| Sep 30, 2022 | 279.79 Mn |
| Jun 30, 2022 | 245.18 Mn |
| Mar 31, 2022 | 217.77 Mn |
| Dec 31, 2021 | 194.97 Mn |
| Sep 30, 2021 | 162.92 Mn |
Corcept Therapeutics Retained Earnings 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=retained-earnings&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();