Corcept Therapeutics (CORT) Receivables (2012 - 2026)
Corcept Therapeutics' Receivables was $76.92 million in Q2 2026, up 19.1% from $64.57 million a year earlier and up 96.9% from the prior quarter.
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Analysis
Corcept Therapeutics (CORT) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Corcept Therapeutics came in at $59.79 million, up 10.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In earlier years, Receivables was $53.98 million in FY2024 (-2.1%), $55.12 million in FY2023 (+22.3%), $45.06 million in FY2022 (+63.1%) and $27.63 million in FY2021 (+5.4%).
- The Q2 2026 figure marks the highest quarterly Receivables since Q1 2025.
- Compared with a year earlier, Receivables was higher in six of the last eight quarters, with growth averaging 8.3%.
- The best year-over-year quarter for Receivables over five years was Q1 2023 (growth of 71.3%); the worst was Q1 2026 (a decline of 51.2%).
- Per Business Quant data, CORT's Receivables in the three quarters before Q2 2026 was $39.07 million (Q1 2026), $59.79 million (Q4 2025) and $69.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Corcept Therapeutics | 12.50 Bn | 11.06 Bn | 252.09 Mn | 76.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.92 Mn |
| Mar 31, 2026 | 39.07 Mn |
| Dec 31, 2025 | 59.79 Mn |
| Sep 30, 2025 | 69.63 Mn |
| Jun 30, 2025 | 64.57 Mn |
| Mar 31, 2025 | 80.02 Mn |
| Dec 31, 2024 | 53.98 Mn |
| Sep 30, 2024 | 59.72 Mn |
| Jun 30, 2024 | 53.84 Mn |
| Mar 31, 2024 | 61.52 Mn |
| Dec 31, 2023 | 55.12 Mn |
| Sep 30, 2023 | 48.63 Mn |
| Jun 30, 2023 | 46.55 Mn |
| Mar 31, 2023 | 46.56 Mn |
| Dec 31, 2022 | 45.06 Mn |
| Sep 30, 2022 | 29.41 Mn |
| Jun 30, 2022 | 28.16 Mn |
| Mar 31, 2022 | 27.18 Mn |
| Dec 31, 2021 | 27.63 Mn |
| Sep 30, 2021 | 26.51 Mn |
API Access
Corcept Therapeutics Receivables 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=receivables&ticker=CORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();