Corcept Therapeutics (CORT) Receivables - Net (2012 - 2026)
Corcept Therapeutics (CORT) posted Receivables - Net of $76.92 million for 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 - Net (2012 - 2026) Analysis & Trends
At the end of FY2025, Corcept Therapeutics' Receivables - Net came in at $59.79 million, up 10.8% from FY2024.
- Annual Receivables - Net has increased for 13 consecutive years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Corcept Therapeutics' Receivables - Net was $53.98 million in FY2024 (+31.3%), $41.12 million in FY2023 (+32.4%), $31.06 million in FY2022 (+12.4%) and $27.63 million in FY2021 (+5.4%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q2 2012.
- On a year-over-year basis, Receivables - Net increased in seven of the last eight quarters, with growth averaging 16.7%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q1 2024, with growth of 89.0%; the weakest was Q1 2026, with a decline of 36.8%.
- According to Business Quant data, Receivables - Net for the three prior quarters 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) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Corcept Therapeutics | 12.50 Bn | 11.06 Bn | 252.09 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 | 61.82 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 | 41.12 Mn |
| Sep 30, 2023 | 34.63 Mn |
| Jun 30, 2023 | 32.55 Mn |
| Mar 31, 2023 | 32.56 Mn |
| Dec 31, 2022 | 31.06 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 - Net 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-net&ticker=CORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();