Gilead Sciences (GILD) Finished Goods (2009 - 2015)
Gilead Sciences (GILD) reported Finished Goods of $852 million for Q4 2015, up 82.8% from $466 million a year earlier.
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Analysis
Gilead Sciences (GILD) Finished Goods (2009 - 2015) Analysis & Trends
Dating back to Q4 2009, Gilead Sciences' Finished Goods record includes 12 quarters.
- Finished Goods has a five-year compound annual growth rate of 20.1% (FY2010 to FY2015).
- By year, Finished Goods came in at $466 million in FY2014 (-21.5%), $593.44 million in FY2013 (+6.0%), $559.91 million in FY2012 (+147.9%) and $225.86 million in FY2011 (-33.8%).
- The Q4 2015 figure ranks as the highest quarterly Finished Goods in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 852.00 Mn |
| Dec 31, 2014 | 466.00 Mn |
| Jun 30, 2014 | 559.98 Mn |
| Dec 31, 2013 | 593.44 Mn |
| Dec 31, 2012 | 559.91 Mn |
| Dec 31, 2011 | 225.86 Mn |
| Sep 30, 2011 | 295.79 Mn |
| Jun 30, 2011 | 384.72 Mn |
| Mar 31, 2011 | 448.43 Mn |
| Dec 31, 2010 | 341.14 Mn |
| Sep 30, 2010 | 439.32 Mn |
| Jun 30, 2010 | 375.58 Mn |
| Mar 31, 2010 | 432.49 Mn |
| Dec 31, 2009 | 326.15 Mn |
| Mar 31, 2009 | 314.29 Mn |
API Access
Gilead Sciences Finished Goods 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=finished-goods&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();