Merck (MRK) Accumulated Expenses (2009 - 2011)
Merck's Accumulated Expenses came in at $8.56 billion for Q1 2011, up 1.4% from $8.44 billion a year earlier and up 0.5% from the prior quarter.
Analysis
Merck (MRK) Accumulated Expenses (2009 - 2011) Analysis & Trends
At the end of FY2010, Merck's Accumulated Expenses was $8.51 billion, down 10.0% from FY2009.
- Going back by year, Accumulated Expenses was $9.46 billion in FY2009.
- The Q1 2011 figure represents the highest quarterly Accumulated Expenses since Q4 2009.
- Business Quant data shows MRK's Accumulated Expenses at $8.51 billion (Q4 2010), $8.16 billion (Q3 2010) and $6.83 billion (Q2 2010) in the three quarters before Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 8.56 Bn |
| Dec 31, 2010 | 8.51 Bn |
| Sep 30, 2010 | 8.16 Bn |
| Jun 30, 2010 | 6.83 Bn |
| Mar 31, 2010 | 8.44 Bn |
| Dec 31, 2009 | 9.46 Bn |
API Access
Merck Accumulated Expenses 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=accumulated-expenses&ticker=MRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();