Deutsche Bank Weighted Average Shares Trend

Deutsche Bank Aktiengesellschaft -- USA Stock  

USD 14.34  0.26  1.78%

This module enables investors to look at Deutsche Bank 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 Cost of Revenue of 301.2 M, Gross Profit of 25.9 B or Net Income to Non Controlling Interests of 24.7 M, but also many exotic indicators such as Asset Turnover of 0.0235, Book Value per Share of 53.1294 or Debt to Equity Ratio of 24.913. This module is a perfect complement to use when analyzing Deutsche Bank Valuation or Volatility. It can also complement various Deutsche Bank Technical models. Additionally see analysis of Deutsche Bank Correlation with competitors.
Showing smoothed Weighted Average Shares of Deutsche Bank Aktiengesellschaft with missing and latest data points interpolated. The weighted average number of shares or units issued and outstanding that are used by the company to calculate Earnings per Basic Share, determined based on the timing of issuance of shares or units in the period.
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2.07 B

            10 Years Trend  
Increasing
Slightly volatile
 Weighted Average Shares 
      Timeline 

Regression Statistics

Arithmetic Mean  1,037,603,612
Geometric Mean  951,726,177
Coefficient Of Variation  43.50
Mean Deviation  353,135,127
Median  979,000,000
Standard Deviation  451,358,501
Range  1,595,799,999
R Value  0.95
R Squared  0.90
Significance  0.00000089
Slope  109,799,551

Deutsche Bank Weighted Average Shares Over Time

2016-12-31  1,387,900,000 
2017-12-31  1,387,900,000 
2018-12-31  2,069,999,999 

Other Fundumenentals

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DB - USA Stock
Deutsche Bank Aktiengesellschaft
Fama & French Banking
Banking
Fama & French Classification
LocationNEW YORK, U.S.A
ExchangeNew York Stock Exchange
$14.34

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Additionally see analysis of Deutsche Bank Correlation with competitors. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.