Exelixis (EXEL) Current Debt (2010 - 2017)
Exelixis (EXEL) reported Current Debt of -$80 million for Q1 2017.
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Analysis
Exelixis (EXEL) Current Debt (2010 - 2017) Analysis & Trends
For FY2015, Exelixis posted Current Debt of -$4.38 million.
- By year, Current Debt came in at -$11.71 million in FY2014, -$13.17 million in FY2013, -$4.87 million in FY2012 and -$8.62 million in FY2011.
- The Q1 2017 figure ranks as the highest quarterly Current Debt in data going back to Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | - |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 208.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 37.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | - |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 64.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Exelixis | 14.53 Bn | 10.86 Bn | 608.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | -80.00 Mn |
| Jun 30, 2015 | -4.16 Mn |
| Mar 31, 2015 | -217,000.00 |
| Dec 31, 2014 | -376,000.00 |
| Sep 30, 2014 | -375,000.00 |
| Jun 30, 2014 | -479,000.00 |
| Mar 31, 2014 | -10.48 Mn |
| Dec 31, 2013 | -796,000.00 |
| Sep 30, 2013 | -792,000.00 |
| Jun 30, 2013 | -791,000.00 |
| Mar 31, 2013 | -10.79 Mn |
| Dec 31, 2012 | -788,000.00 |
| Sep 30, 2012 | -788,000.00 |
| Jun 30, 2012 | -1.65 Mn |
| Mar 31, 2012 | -1.65 Mn |
| Dec 31, 2011 | -1.63 Mn |
| Sep 30, 2011 | -2.44 Mn |
| Jun 30, 2011 | -798,000.00 |
| Mar 31, 2011 | -3.75 Mn |
| Dec 31, 2010 | -30.69 Mn |
API Access
Exelixis Current 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=current-debt&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "ticker": "EXEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-debt&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();