Corcept Therapeutics (CORT) Total Current Liabilities (2010 - 2026)
Corcept Therapeutics' Total Current Liabilities came in at $153.8 million for Q2 2026, up 6.3% from $144.66 million a year earlier and up 3.1% from the prior quarter.
Corcept Therapeutics (CORT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Corcept Therapeutics' Total Current Liabilities was $166.09 million, up 18.0% from FY2024.
- Total Current Liabilities has increased in each of the last 15 years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $140.77 million in FY2024 (+34.7%), $104.51 million in FY2023 (+44.2%), $72.49 million in FY2022 (+52.5%) and $47.54 million in FY2021 (+0.1%).
- The five-year range for quarterly Total Current Liabilities is $44.76 million (Q3 2021) to $172.27 million (Q3 2025).
- Year-over-year, Total Current Liabilities has increased for 25 consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 0.1% (Q4 2021) and 129.7% (Q3 2023) over the last five years.
- Business Quant data shows CORT's Total Current Liabilities at $149.19 million (Q1 2026), $166.09 million (Q4 2025) and $172.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Corcept Therapeutics | 12.50 Bn | 11.06 Bn | 252.09 Mn | 153.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.80 Mn |
| Mar 31, 2026 | 149.19 Mn |
| Dec 31, 2025 | 166.09 Mn |
| Sep 30, 2025 | 172.27 Mn |
| Jun 30, 2025 | 144.66 Mn |
| Mar 31, 2025 | 143.07 Mn |
| Dec 31, 2024 | 140.77 Mn |
| Sep 30, 2024 | 126.22 Mn |
| Jun 30, 2024 | 100.75 Mn |
| Mar 31, 2024 | 97.20 Mn |
| Dec 31, 2023 | 104.51 Mn |
| Sep 30, 2023 | 121.87 Mn |
| Jun 30, 2023 | 93.06 Mn |
| Mar 31, 2023 | 78.87 Mn |
| Dec 31, 2022 | 72.49 Mn |
| Sep 30, 2022 | 53.07 Mn |
| Jun 30, 2022 | 49.06 Mn |
| Mar 31, 2022 | 57.24 Mn |
| Dec 31, 2021 | 47.54 Mn |
| Sep 30, 2021 | 44.76 Mn |
Corcept Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();