Exelixis (EXEL) Construction in Progress (2010 - 2017)
Exelixis' Construction in Progress was $14.5 million in Q2 2017.
Analysis
Exelixis (EXEL) Construction in Progress (2010 - 2017) Analysis & Trends
At the end of FY2015, Construction in Progress at Exelixis came in at $456,000, up 280.0% from FY2014.
- Construction in Progress shows a five-year compound annual growth rate of 4.1% (FY2010 to FY2015).
- In earlier years, Construction in Progress was $120,000 in FY2014 (+76.5%), $68,000 in FY2013 (-95.2%), $1.41 million in FY2012 (+809.0%) and $155,000 in FY2011 (-58.4%).
- The Q2 2017 figure marks the lowest quarterly Construction in Progress since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Construction in Progress (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 | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | - |
| 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 | - |
| 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 |
|---|---|
| Jun 30, 2017 | 14.50 Mn |
| Dec 31, 2015 | 456,000.00 |
| Dec 31, 2014 | 120,000.00 |
| Dec 31, 2013 | 68,000.00 |
| Dec 31, 2012 | 1.41 Mn |
| Dec 31, 2011 | 155,000.00 |
| Dec 31, 2010 | 373,000.00 |
API Access
Exelixis Construction in Progress 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=construction-in-progress&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "construction-in-progress", "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=construction-in-progress&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();