Biogen (BIIB) Finished Goods (2009 - 2018)
Biogen's Finished Goods came in at $133.5 million for Q4 2018, down 15.2% from $157.4 million a year earlier.
Analysis
Biogen (BIIB) Finished Goods (2009 - 2018) Analysis & Trends
Going back to Q4 2010, Biogen's Finished Goods data covers 12 quarters.
- Finished Goods carries a five-year compound annual growth rate of 4.2% (FY2013 to FY2018).
- Going back by year, Finished Goods was $157.4 million in FY2017 (-7.6%), $170.3 million in FY2016 (+19.1%), $143 million in FY2015 (-12.9%) and $164.2 million in FY2014 (+51.2%).
- The Q4 2018 figure represents the lowest quarterly Finished Goods since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn |
| 10 | Biogen | 37.46 Bn | 26.77 Bn | 2.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 133.50 Mn |
| Dec 31, 2017 | 157.40 Mn |
| Dec 31, 2016 | 170.30 Mn |
| Dec 31, 2015 | 143.00 Mn |
| Dec 31, 2014 | 164.20 Mn |
| Dec 31, 2013 | 108.60 Mn |
| Mar 31, 2013 | 120.70 Mn |
| Dec 31, 2012 | 100.70 Mn |
| Jun 30, 2012 | 103.20 Mn |
| Mar 31, 2012 | 83.30 Mn |
| Dec 31, 2011 | 73.60 Mn |
| Dec 31, 2010 | 230.10 Mn |
| Mar 31, 2009 | 44.50 Mn |
API Access
Biogen 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=BIIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "BIIB", "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=BIIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();