Exelixis (EXEL) Accumulated Expenses (2010 - 2016)
Exelixis (EXEL) recorded Accumulated Expenses of $16.14 million in Q1 2016, down 47.9% from $30.98 million a year earlier and down 10.7% from the prior quarter.
Powered by 
Analysis
Exelixis (EXEL) Accumulated Expenses (2010 - 2016) Analysis & Trends
At the end of FY2015, Exelixis reported Accumulated Expenses of $18.07 million, down 56.5% from FY2014.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -10.2% (FY2010 to FY2015).
- Across earlier years, Accumulated Expenses came in at $41.55 million in FY2014 (+18.8%), $34.96 million in FY2013 (+70.0%), $20.56 million in FY2012 (-5.4%) and $21.73 million in FY2011 (-29.8%).
- The Q1 2016 figure is the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has declined for five consecutive quarters, with an average decline of 11.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 84.0% in Q1 2014, against a decline of 56.5% in Q4 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.07 million (Q4 2015), $29.79 million (Q3 2015) and $32.57 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Exelixis | 14.54 Bn | 10.87 Bn | 608.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 16.14 Mn |
| Dec 31, 2015 | 18.07 Mn |
| Sep 30, 2015 | 29.79 Mn |
| Jun 30, 2015 | 32.57 Mn |
| Mar 31, 2015 | 30.98 Mn |
| Dec 31, 2014 | 41.55 Mn |
| Sep 30, 2014 | 45.10 Mn |
| Jun 30, 2014 | 41.37 Mn |
| Mar 31, 2014 | 39.12 Mn |
| Dec 31, 2013 | 34.96 Mn |
| Sep 30, 2013 | 35.04 Mn |
| Jun 30, 2013 | 29.41 Mn |
| Mar 31, 2013 | 21.26 Mn |
| Dec 31, 2012 | 20.56 Mn |
| Sep 30, 2012 | 23.70 Mn |
| Jun 30, 2012 | 23.98 Mn |
| Mar 31, 2012 | 21.63 Mn |
| Dec 31, 2011 | 21.73 Mn |
| Sep 30, 2011 | 24.96 Mn |
| Jun 30, 2011 | 28.76 Mn |
API Access
Exelixis Accumulated 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=accumulated-expenses&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();