Corcept Therapeutics (CORT) Exchange Rate Effect (2024 - 2026)
Corcept Therapeutics (CORT) reported Exchange Rate Effect of $37,000 for Q2 2026, down 97.4% from $1.44 million a year earlier.
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Analysis
Corcept Therapeutics (CORT) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Corcept Therapeutics' Exchange Rate Effect came in at -$602,000; for FY2025, it was $1.44 million.
- By year, Exchange Rate Effect came in at -$228,000 in FY2024 and $358,000 in FY2023.
- Five-year quarterly Exchange Rate Effect spans a low of -$758,000 in Q4 2024 and a high of $1.44 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$287,000 (Q1 2026), -$32,000 (Q4 2025) and -$320,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Corcept Therapeutics | 12.50 Bn | 11.06 Bn | 252.09 Mn | 37,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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();