Gilead Sciences (GILD) Work In Process (2009 - 2015)
Gilead Sciences (GILD) recorded Work In Process of $542 million in Q4 2015, up 8.4% from $500 million a year earlier.
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Analysis
Gilead Sciences (GILD) Work In Process (2009 - 2015) Analysis & Trends
Starting with Q4 2009, Gilead Sciences' Work In Process history includes 12 quarters.
- Annual Work In Process has increased for three straight years, with a five-year compound annual growth rate of 3.6% (FY2010 to FY2015).
- Across earlier years, Work In Process came in at $500 million in FY2014 (+21.1%), $412.95 million in FY2013 (+15.2%), $358.53 million in FY2012 (-23.1%) and $466.5 million in FY2011 (+2.6%).
- The Q4 2015 figure is the highest quarterly Work In Process since Q2 2014.
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 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 542.00 Mn |
| Dec 31, 2014 | 500.00 Mn |
| Jun 30, 2014 | 563.88 Mn |
| Dec 31, 2013 | 412.95 Mn |
| Dec 31, 2012 | 358.53 Mn |
| Dec 31, 2011 | 466.50 Mn |
| Sep 30, 2011 | 175.55 Mn |
| Jun 30, 2011 | 271.64 Mn |
| Mar 31, 2011 | 296.87 Mn |
| Dec 31, 2010 | 454.65 Mn |
| Sep 30, 2010 | 392.54 Mn |
| Dec 31, 2009 | 392.04 Mn |
API Access
Gilead Sciences Work In Process 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=work-in-process&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();