Deutsche Bank Cost of Revenue Trend

DB -- USA Stock  

USD 11.24  0.04  0.36%

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 Cost of Revenue of Deutsche Bank Aktiengesellschaft with missing and latest data points interpolated. Cost of Revenue is found on Deutsche Bank Aktien income statement and represents the costs associated with goods and services Deutsche Bank provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. The aggregate cost of goods produced and sold and services rendered during the reporting period.
Cost of Revenue10 Years Trend
Increasing
Stable
 Cost of Revenue 
      Timeline 

Regression Statistics

Arithmetic Mean  283,931,373
Coefficient Of Variation  71.95
Mean Deviation  131,264,706
Median  289,000,000
Standard Deviation  204,276,767
Range  794,000,000
R Value  0.18
R Squared  0.032184
Significance  0.58
Slope  10,164,130

Deutsche Bank Cost of Revenue Over Time

2016-12-31  256,000,000 
2017-12-31  256,000,000 
2018-12-31  301,176,471 

Other Fundumenentals

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Additionally see analysis of Deutsche Bank Correlation with competitors. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.