Deutsche Bank Free Cash Flow Trend

DB -- USA Stock  

USD 12.25  0.09  0.73%

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 Free Cash Flow of Deutsche Bank Aktiengesellschaft with missing and latest data points interpolated. Free Cash Flow is a measure of financial performance calculated as Net Cash Flow from Operations minus Capital Expenditure.
Free Cash Flow10 Years Trend
Slightly volatile
 Free Cash Flow 

Deutsche Bank Regression Statistics

Arithmetic Mean 23,693,980,392
Geometric Mean 16,600,514,355
Coefficient Of Variation 157.16
Mean Deviation 33,003,810,458
Median 7,109,000,000
Standard Deviation 37,236,606,461
Range 103,302,764,706
R Value 0.72
R Squared 0.52
Significance 0.007844
Slope 7,470,319,622

Deutsche Bank Free Cash Flow Over Time

2016-12-31  67,092,000,000 
2017-12-31  67,092,000,000 
2018-12-31  78,931,764,706 

Other Fundumenentals of Deutsche Bank Aktien

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Deutsche Bank Fundamental Drivers

Deutsche Bank Aktiengesellschaft Fundamental Market Drivers

Forward Price Earnings10.46
Average Daily Volume Last 10 Day4.91M
Shares Short Prior Month74.09M
Average Daily Volume In Three Month5.16M
Date Short InterestAugust 15, 2018
Fifty Day Average11.77
Two Hundred Day Average12.82
Additionally see analysis of Deutsche Bank Correlation with competitors. Please also try Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.