Exelixis (EXEL) Total Debt (2010 - 2017)
Exelixis (EXEL) recorded Total Debt of $113.35 million in Q1 2017, up 5.4% from $107.5 million a year earlier but down 40.1% from the prior quarter.
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Analysis
Exelixis (EXEL) Total Debt (2010 - 2017) Analysis & Trends
At the end of FY2016, Exelixis reported Total Debt of $189.12 million, up 136.4% from FY2015.
- Annual Total Debt has a five-year compound annual growth rate of 16.0% (FY2011 to FY2016).
- Across earlier years, Total Debt came in at $80 million in FY2015 (-55.0%), $177.83 million in FY2014 (+93.1%), $92.09 million in FY2013 (-3.3%) and $95.26 million in FY2012 (+5.7%).
- Quarterly Total Debt has ranged from $80 million in Q2 2015 to $189.12 million in Q4 2016 over the past five years.
- On a year-over-year basis, Total Debt has increased for five consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 136.4% in Q4 2016, against a decline of 55.0% in Q4 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $189.12 million (Q4 2016), $109.37 million (Q3 2016) and $107.5 million (Q2 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 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 | 113.35 Mn |
| Dec 30, 2016 | 189.12 Mn |
| Sep 30, 2016 | 109.37 Mn |
| Jun 30, 2016 | 107.50 Mn |
| Mar 31, 2016 | 107.50 Mn |
| Dec 31, 2015 | 80.00 Mn |
| Sep 30, 2015 | 80.45 Mn |
| Jun 30, 2015 | 80.00 Mn |
| Mar 31, 2015 | 84.08 Mn |
| Dec 31, 2014 | 177.83 Mn |
| Sep 30, 2014 | 177.25 Mn |
| Jun 30, 2014 | 175.34 Mn |
| Mar 31, 2014 | 81.61 Mn |
| Dec 31, 2013 | 92.09 Mn |
| Sep 30, 2013 | 92.88 Mn |
| Jun 30, 2013 | 93.68 Mn |
| Mar 31, 2013 | 94.47 Mn |
| Dec 31, 2012 | 95.26 Mn |
| Sep 30, 2012 | 96.05 Mn |
| Jun 30, 2012 | 96.84 Mn |
API Access
Exelixis 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=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();