Corcept Therapeutics (CORT) Revenue (2012 - 2026)
Corcept Therapeutics (CORT) posted Revenue of $256.15 million for Q2 2026, up 31.7% from $194.43 million a year earlier and up 55.3% from the prior quarter.
Corcept Therapeutics (CORT) Revenue (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Corcept Therapeutics was $830.81 million, up 16.0% year-over-year; for FY2025, it came in at $761.41 million, up 12.8% from FY2024.
- Annual Revenue has increased for 13 consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Corcept Therapeutics' Revenue was $675.04 million in FY2024 (+39.9%), $482.38 million in FY2023 (+20.0%), $401.86 million in FY2022 (+9.8%) and $365.98 million in FY2021 (+3.4%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2012.
- On a year-over-year basis, Revenue has increased in each of the last 21 quarters, with growth averaging 21.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 4.3% in Q4 2022 to 47.7% in Q3 2024.
- According to Business Quant data, Revenue for the three prior quarters was $164.9 million (Q1 2026), $202.13 million (Q4 2025) and $207.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Corcept Therapeutics | 12.40 Bn | 10.96 Bn | 252.09 Mn | 256.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.15 Mn |
| Mar 31, 2026 | 164.90 Mn |
| Dec 31, 2025 | 202.13 Mn |
| Sep 30, 2025 | 207.64 Mn |
| Jun 30, 2025 | 194.43 Mn |
| Mar 31, 2025 | 157.21 Mn |
| Dec 31, 2024 | 181.89 Mn |
| Sep 30, 2024 | 182.55 Mn |
| Jun 30, 2024 | 163.80 Mn |
| Mar 31, 2024 | 146.81 Mn |
| Dec 31, 2023 | 135.41 Mn |
| Sep 30, 2023 | 123.60 Mn |
| Jun 30, 2023 | 117.72 Mn |
| Mar 31, 2023 | 105.65 Mn |
| Dec 31, 2022 | 103.06 Mn |
| Sep 30, 2022 | 101.73 Mn |
| Jun 30, 2022 | 103.39 Mn |
| Mar 31, 2022 | 93.69 Mn |
| Dec 31, 2021 | 98.82 Mn |
| Sep 30, 2021 | 96.13 Mn |
Corcept Therapeutics 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=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();