Corcept Therapeutics (CORT) Non-Current Assets (2010 - 2026)
Corcept Therapeutics' Non-Current Assets was $449.03 million in Q2 2026, up 25.2% from $358.61 million a year earlier and up 15.5% from the prior quarter.
Corcept Therapeutics (CORT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Corcept Therapeutics came in at $351.19 million, down 4.8% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $368.95 million in FY2024 (+126.5%), $162.88 million in FY2023 (+93.5%), $84.18 million in FY2022 (-46.5%) and $157.29 million in FY2021 (+68.7%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 65.9%.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2025 (growth of 167.4%); the worst was Q3 2022 (a decline of 55.9%).
- Per Business Quant data, CORT's Non-Current Assets in the three quarters before Q2 2026 was $388.85 million (Q1 2026), $351.19 million (Q4 2025) and $282.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Corcept Therapeutics | 12.34 Bn | 10.90 Bn | 252.09 Mn | 449.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 449.03 Mn |
| Mar 31, 2026 | 388.85 Mn |
| Dec 31, 2025 | 351.19 Mn |
| Sep 30, 2025 | 282.48 Mn |
| Jun 30, 2025 | 358.61 Mn |
| Mar 31, 2025 | 407.95 Mn |
| Dec 31, 2024 | 368.95 Mn |
| Sep 30, 2024 | 317.28 Mn |
| Jun 30, 2024 | 153.71 Mn |
| Mar 31, 2024 | 152.57 Mn |
| Dec 31, 2023 | 162.88 Mn |
| Sep 30, 2023 | 162.50 Mn |
| Jun 30, 2023 | 92.04 Mn |
| Mar 31, 2023 | 83.96 Mn |
| Dec 31, 2022 | 84.18 Mn |
| Sep 30, 2022 | 80.85 Mn |
| Jun 30, 2022 | 77.32 Mn |
| Mar 31, 2022 | 79.90 Mn |
| Dec 31, 2021 | 157.29 Mn |
| Sep 30, 2021 | 183.50 Mn |
Corcept Therapeutics Non-Current Assets 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=non-current-assets&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();