Corcept Therapeutics (CORT) Interest Expenses (2011 - 2017)
Corcept Therapeutics (CORT) posted Interest Expenses of $98,000 for Q2 2017, down 81.5% from $531,000 a year earlier and down 56.4% from the prior quarter.
Corcept Therapeutics (CORT) Interest Expenses (2011 - 2017) Analysis & Trends
For the trailing twelve months through Jun 30, 2017, Interest Expenses at Corcept Therapeutics was $1.22 million, down 51.9% year-over-year; for FY2016, it was $2.04 million, down 31.2% from FY2015.
- Annual Interest Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 141.2% (FY2011 to FY2016).
- In prior years, Corcept Therapeutics' Interest Expenses was $2.97 million in FY2015 (-21.2%), $3.76 million in FY2014 (-16.6%), $4.52 million in FY2013 (+154.2%) and $1.78 million in FY2012.
- The Q2 2017 figure stands as the lowest quarterly Interest Expenses since Q2 2012.
- On a year-over-year basis, Interest Expenses has declined in each of the last 15 quarters, with an average decline of 38.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2013, with growth of 87.5%; the weakest was Q2 2017, with a decline of 81.5%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $225,000 (Q1 2017), $410,000 (Q4 2016) and $487,000 (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Corcept Therapeutics | 12.46 Bn | 11.02 Bn | 252.09 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 98,000.00 |
| Mar 31, 2017 | 225,000.00 |
| Dec 31, 2016 | 410,000.00 |
| Sep 30, 2016 | 487,000.00 |
| Jun 30, 2016 | 531,000.00 |
| Mar 31, 2016 | 611,000.00 |
| Dec 31, 2015 | 692,000.00 |
| Sep 30, 2015 | 703,000.00 |
| Jun 30, 2015 | 770,000.00 |
| Mar 31, 2015 | 800,000.00 |
| Dec 31, 2014 | 818,000.00 |
| Sep 30, 2014 | 903,000.00 |
| Jun 30, 2014 | 971,000.00 |
| Mar 31, 2014 | 1.07 Mn |
| Dec 31, 2013 | 1.09 Mn |
| Sep 30, 2013 | 1.17 Mn |
| Jun 30, 2013 | 1.11 Mn |
| Mar 31, 2013 | 1.14 Mn |
| Dec 31, 2012 | 1.14 Mn |
| Sep 30, 2012 | 622,000.00 |
Corcept Therapeutics Interest Expenses 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=interest-expenses&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();