Corcept Therapeutics (CORT) Total Debt (2012 - 2017)
Corcept Therapeutics' Total Debt came in at $4.57 million for Q2 2017, down 79.5% from $22.3 million a year earlier and down 54.8% from the prior quarter.
Corcept Therapeutics (CORT) Total Debt (2012 - 2017) Analysis & Trends
At the end of FY2016, Corcept Therapeutics' Total Debt was $14.66 million, down 46.7% from FY2015.
- Total Debt has declined in each of the last three years, with a four-year compound annual growth rate of -17.5% (FY2012 to FY2016).
- Going back by year, Total Debt was $27.49 million in FY2015 (-18.9%), $33.89 million in FY2014 (-3.4%), $35.07 million in FY2013 (+10.7%) and $31.68 million in FY2012.
- The Q2 2017 figure represents the lowest quarterly Total Debt in data going back to Q3 2012.
- Year-over-year, Total Debt has declined for 11 consecutive quarters, with an average decline of 38.6% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in Q3 2013 (growth of 13.3%), and the weakest in Q2 2017 (a decline of 79.5%).
- Business Quant data shows CORT's Total Debt at $10.11 million (Q1 2017), $14.66 million (Q4 2016) and $18.73 million (Q3 2016) in the three quarters before Q2 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -11.96 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Corcept Therapeutics | 7.99 Bn | 6.60 Bn | 335.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 4.57 Mn |
| Mar 31, 2017 | 10.11 Mn |
| Dec 31, 2016 | 14.66 Mn |
| Sep 30, 2016 | 18.73 Mn |
| Jun 30, 2016 | 22.30 Mn |
| Mar 31, 2016 | 25.04 Mn |
| Dec 31, 2015 | 27.49 Mn |
| Sep 30, 2015 | 29.64 Mn |
| Jun 30, 2015 | 31.43 Mn |
| Mar 31, 2015 | 32.78 Mn |
| Dec 31, 2014 | 33.89 Mn |
| Sep 30, 2014 | 34.65 Mn |
| Jun 30, 2014 | 35.03 Mn |
| Mar 31, 2014 | 35.11 Mn |
| Dec 31, 2013 | 35.07 Mn |
| Sep 30, 2013 | 34.64 Mn |
| Jun 30, 2013 | 33.89 Mn |
| Mar 31, 2013 | 32.80 Mn |
| Dec 31, 2012 | 31.68 Mn |
| Sep 30, 2012 | 30.58 Mn |
Corcept Therapeutics Total Debt 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-debt&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();