Merck (MRK) Finished Goods (2009 - 2012)
Merck (MRK) recorded Finished Goods of $1.81 billion in Q2 2012, up 25.6% from $1.44 billion a year earlier and up 1.6% from the prior quarter.
Powered by 
Analysis
Merck (MRK) Finished Goods (2009 - 2012) Analysis & Trends
At the end of FY2011, Merck reported Finished Goods of $1.98 billion, up 33.6% from FY2010.
- Across earlier years, Finished Goods came in at $1.48 billion in FY2010 (-39.8%) and $2.47 billion in FY2009.
- Quarterly Finished Goods has ranged from $1.38 billion in Q1 2011 to $2.47 billion in Q4 2009 over the past five years.
- On a year-over-year basis, Finished Goods has increased for three consecutive quarters, with growth averaging 1.5% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $1.78 billion (Q1 2012), $1.98 billion (Q4 2011) and $1.64 billion (Q3 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 1.81 Bn |
| Mar 31, 2012 | 1.78 Bn |
| Dec 31, 2011 | 1.98 Bn |
| Sep 30, 2011 | 1.64 Bn |
| Jun 30, 2011 | 1.44 Bn |
| Mar 31, 2011 | 1.38 Bn |
| Dec 31, 2010 | 1.48 Bn |
| Sep 30, 2010 | 1.95 Bn |
| Jun 30, 2010 | 1.88 Bn |
| Dec 31, 2009 | 2.47 Bn |
API Access
Merck 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=MRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "MRK", "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=MRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();