Blackstone Group Enterprise Value Trend

This module enables investors to look at Blackstone Group various fundamental indicators over time in order to gain insight into the company future performance. Macroaxis historical fundamental analysis tools allow evaluation of not only typical financial statement drivers such as Consolidated Income of 1.9 B, Earning Before Interest and Taxes EBIT of 1.2 B or Gross Profit of 5.4 B, but also many exotic indicators such as Asset Turnover of 0.2118, Book Value per Share of 11.5035 or Debt to Equity Ratio of 70.3. This module is a perfect complement to use when analyzing Blackstone Group Valuation or Volatility. It can also complement various Blackstone Group Technical models. Check also Trending Equities.
Showing smoothed Enterprise Value of The Blackstone Group L P with missing and latest data points interpolated. Enterprise Value (or EV) is usually referred to as Blackstone Group theoretical takeover price. In the event of an acquisition, an acquirer would have to take on The Blackstone Group debt, but would also pocket its cash. Enterprise Value is more accurate representation of Blackstone Group value then its market capitalization because it takes into account all of The Blackstone Group L P existing debt. Enterprise value is a measure of the value of a business as a whole
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31 B

          10 Years Trend
Increasing
Slightly volatile
 Enterprise Value 
      Timeline 

Regression Statistics

Arithmetic Mean  15,867,876,151
Geometric Mean  11,748,367,775
Coefficient Of Variation  58.83
Mean Deviation  7,813,442,834
Median  20,468,485,512
Standard Deviation  9,334,987,924
Range  29,642,796,856
R Value  0.90
R Squared  0.81
Significance  0.00007214
Slope  2,325,706,092

Blackstone Group Enterprise Value Over Time

2016-12-31  20,468,485,512 
2017-12-31  20,468,485,512 
2018-12-31  31,000,000,000 

Other Fundumenentals

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Blackstone Group Upcoming Company Events

Upcoming Quarterly ReportApril 20, 2017
Next Earnings ReportJuly 20, 2017
Check also Trending Equities. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.