Gilead Sciences (GILD) Raw Materials (2009 - 2015)
Gilead Sciences' Raw Materials was $1.33 billion in Q4 2015, up 46.5% from $909 million a year earlier.
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Analysis
Gilead Sciences (GILD) Raw Materials (2009 - 2015) Analysis & Trends
From Q4 2009 onward, Gilead Sciences has reported Raw Materials for 12 quarters.
- Raw Materials shows a five-year compound annual growth rate of 26.7% (FY2010 to FY2015).
- In earlier years, Raw Materials was $909 million in FY2014 (-13.4%), $1.05 billion in FY2013 (+27.0%), $826.55 million in FY2012 (+18.5%) and $697.62 million in FY2011 (+71.0%).
- The Q4 2015 figure marks the highest quarterly Raw Materials in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1.33 Bn |
| Dec 31, 2014 | 909.00 Mn |
| Jun 30, 2014 | 944.89 Mn |
| Dec 31, 2013 | 1.05 Bn |
| Dec 31, 2012 | 826.55 Mn |
| Dec 31, 2011 | 697.62 Mn |
| Sep 30, 2011 | 866.41 Mn |
| Jun 30, 2011 | 665.25 Mn |
| Mar 31, 2011 | 559.16 Mn |
| Dec 31, 2010 | 408.02 Mn |
| Sep 30, 2010 | 441.53 Mn |
| Dec 31, 2009 | 333.58 Mn |
API Access
Gilead Sciences Raw Materials 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=raw-materials&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "GILD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();