Corcept Therapeutics (CORT) Cash & Equivalents (2010 - 2026)
Corcept Therapeutics' Cash & Equivalents came in at $111.04 million for Q2 2026, up 8.1% from $102.75 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Corcept Therapeutics (CORT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Corcept Therapeutics' Cash & Equivalents was $120.5 million, down 5.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $127.67 million in FY2024 (-5.8%), $135.55 million in FY2023 (+104.4%), $66.33 million in FY2022 (-14.5%) and $77.62 million in FY2021 (+1.9%).
- The five-year range for quarterly Cash & Equivalents is $35.35 million (Q2 2022) to $299.94 million (Q1 2023).
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 3.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 387.7%), and the weakest in Q2 2022 (a decline of 63.0%).
- Business Quant data shows CORT's Cash & Equivalents at $108.74 million (Q1 2026), $120.5 million (Q4 2025) and $125.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Corcept Therapeutics | 12.33 Bn | 10.89 Bn | 252.09 Mn | 111.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.04 Mn |
| Mar 31, 2026 | 108.74 Mn |
| Dec 31, 2025 | 120.50 Mn |
| Sep 30, 2025 | 125.14 Mn |
| Jun 30, 2025 | 102.75 Mn |
| Mar 31, 2025 | 89.82 Mn |
| Dec 31, 2024 | 127.67 Mn |
| Sep 30, 2024 | 137.29 Mn |
| Jun 30, 2024 | 128.59 Mn |
| Mar 31, 2024 | 149.75 Mn |
| Dec 31, 2023 | 135.55 Mn |
| Sep 30, 2023 | 111.80 Mn |
| Jun 30, 2023 | 172.38 Mn |
| Mar 31, 2023 | 299.94 Mn |
| Dec 31, 2022 | 66.33 Mn |
| Sep 30, 2022 | 50.24 Mn |
| Jun 30, 2022 | 35.35 Mn |
| Mar 31, 2022 | 61.86 Mn |
| Dec 31, 2021 | 77.62 Mn |
| Sep 30, 2021 | 94.69 Mn |
API Access
Corcept Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=CORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();