Corcept Therapeutics (CORT) Return on Sales [ROS] (2012 - 2026)
Corcept Therapeutics (CORT) posted Return on Sales [ROS] of 16.12% for Q2 2026, up 2.40 percentage points from 13.72% a year earlier and up 46.20 percentage points from the prior quarter.
Corcept Therapeutics (CORT) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Corcept Therapeutics was 0.77%, down 13.47 percentage points year-over-year; for FY2025, it was 5.88%, down 14.40 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for six consecutive years, with a five-year change of -30.34 percentage points (FY2020 to FY2025).
- In prior years, Corcept Therapeutics' Return on Sales [ROS] was 20.29% in FY2024 (-1.95 pp), 22.24% in FY2023 (-5.79 pp), 28.03% in FY2022 (-5.98 pp) and 34.01% in FY2021 (-2.22 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -12.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 9.06 percentage points; the weakest was Q1 2026, with a drop of 32.25 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -30.08% (Q1 2026), 2.22% (Q4 2025) and 4.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Corcept Therapeutics | 12.56 Bn | 11.12 Bn | 252.09 Mn | 16.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.12% |
| Mar 31, 2026 | -30.08% |
| Dec 31, 2025 | 2.22% |
| Sep 30, 2025 | 4.92% |
| Jun 30, 2025 | 13.72% |
| Mar 31, 2025 | 2.17% |
| Dec 31, 2024 | 13.89% |
| Sep 30, 2024 | 25.53% |
| Jun 30, 2024 | 21.73% |
| Mar 31, 2024 | 20.09% |
| Dec 31, 2023 | 23.39% |
| Sep 30, 2023 | 25.22% |
| Jun 30, 2023 | 25.13% |
| Mar 31, 2023 | 14.06% |
| Dec 31, 2022 | 21.83% |
| Sep 30, 2022 | 31.39% |
| Jun 30, 2022 | 30.40% |
| Mar 31, 2022 | 28.57% |
| Dec 31, 2021 | 37.10% |
| Sep 30, 2021 | 37.69% |
Corcept Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();