Corcept Therapeutics (CORT) Return on Sales [ROS] (2012 - 2026)
Corcept Therapeutics (CORT) posted Return on Sales [ROS] of 33.70% for Q3 2026, up 28.77 percentage points from 4.92% a year earlier and up 17.57 percentage points from the prior quarter.
Corcept Therapeutics (CORT) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Corcept Therapeutics was 11.51%, up 2.66 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 Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2021.
- 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 -8.60 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2026, with a gain of 28.77 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 16.12% (Q2 2026), -30.08% (Q1 2026) and 2.22% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Corcept Therapeutics | 7.99 Bn | 6.60 Bn | 335.86 Mn | 33.70% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.70% |
| 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% |
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();