Corcept Therapeutics (CORT) Non Operating Interest Expenses (2011 - 2017)
Corcept Therapeutics (CORT) reported Non Operating 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) Non Operating Interest Expenses (2011 - 2017) Analysis & Trends
Over the twelve months ended Jun 30, 2017, Corcept Therapeutics' Non Operating Interest Expenses came in at $1.22 million, down 51.9% year-over-year; for FY2016, it was $2.04 million, down 31.2% from FY2015.
- Non Operating Interest Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 141.2% (FY2011 to FY2016).
- By year, Non Operating Interest Expenses came in at $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 ranks as the lowest quarterly Non Operating Interest Expenses since Q2 2012.
- Year over year, Non Operating Interest Expenses has now declined in each of the last 15 quarters, with an average decline of 38.6% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2013 (growth of 87.5%); the low point was Q2 2017 (a decline of 81.5%).
- Per Business Quant data, the three quarters before Q2 2017 came in at $225,000 (Q1 2017), $410,000 (Q4 2016) and $487,000 (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=CORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=CORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();