Corcept Therapeutics (CORT) Exchange Rate Effect (2024 - 2026)
Corcept Therapeutics (CORT) reported Exchange Rate Effect of $78,000 for Q3 2026, compared with -$320,000 a year earlier and up 110.8% from the prior quarter.
Powered by 
Analysis
Corcept Therapeutics (CORT) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Corcept Therapeutics' Exchange Rate Effect came in at -$204,000; for FY2025, it was $1.44 million.
- By year, Exchange Rate Effect came in at -$228,000 in FY2024 and $358,000 in FY2023.
- The Q3 2026 figure ranks as the highest quarterly Exchange Rate Effect since Q2 2025.
- Per Business Quant data, the three quarters before Q3 2026 came in at $37,000 (Q2 2026), -$287,000 (Q1 2026) and -$32,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 56.00 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 10.00 Mn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | -6.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | -46.00 Mn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -7.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -4.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.00 Mn |
| 10 | Corcept Therapeutics | 7.99 Bn | 6.60 Bn | 335.86 Mn | 78,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78,000.00 |
| Jun 30, 2026 | 37,000.00 |
| Mar 31, 2026 | -287,000.00 |
| Dec 31, 2025 | -32,000.00 |
| Sep 30, 2025 | -320,000.00 |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 358,000.00 |
| Dec 31, 2024 | -758,000.00 |
| Sep 30, 2024 | 536,000.00 |
API Access
Corcept Therapeutics Exchange Rate Effect 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=exchange-rate-effect&ticker=CORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();