Citigroup Earnings Before Interest Taxes and Depreciation Amortization EBITDA Trend

C -- USA Stock  

USD 67.38  0.60  0.90%

This module enables investors to look at Citigroup 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 17 B or Cost of Revenue of 7.8 B, but also many exotic indicators such as Calculated Tax Rate of 31.5646 or Cash and Equivalents Turnover of 0.6114. This module is a perfect complement to use when analyzing Citigroup Valuation or Volatility. It can also complement various Citigroup Technical models. Check also analysis of Citigroup Correlation with competitors.
Showing smoothed Earnings Before Interest Taxes and Depreciation Amortization EBITDA of Citigroup with missing and latest data points interpolated. EBITDA is a non-GAAP accounting metric that is widely used when assessing the performance of companies, calculated by adding Depreciation Amortization and Accretion back to Earning Before Interest and Taxes EBIT.
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28.03 B

          10 Years Trend
Increasing
Slightly volatile
 Earnings Before Interest Taxes and Depreciation Amortization EBITDA 
      Timeline 

Regression Statistics

Arithmetic Mean  11,915,668,016
Geometric Mean  16,320,251,200
Coefficient Of Variation  167.12
Mean Deviation  13,123,898,474
Median  17,514,000,000
Standard Deviation  19,913,120,768
Range  73,732,000,000
R Value  0.64
R Squared  0.42
Significance  0.017375
Slope  3,296,242,337

Citigroup Earnings Before Interest Taxes and Depreciation Amortization EBITDA Over Time

2016-12-31  25,076,000,000 
2017-12-31  25,076,000,000 
2018-12-31  28,033,684,210 

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Upcoming Events

Citigroup Upcoming Company Events
Upcoming Quarterly ReportJanuary 16, 2018
Next Earnings ReportApril 12, 2018
Check also analysis of Citigroup Correlation with competitors. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.