Citigroup Earnings before Tax Trend

C -- USA Stock  

USD 69.71  0.50  0.72%

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 Tax of Citigroup with missing and latest data points interpolated. Earnings Before Tax is calculated by adding Income Tax Expense back to Net Income.
Earnings before Tax10 Years Trend
Slightly volatile
 Earnings before Tax 

Citigroup Regression Statistics

Arithmetic Mean 9,599,210,526
Geometric Mean 16,698,225,229
Coefficient Of Variation 211.37
Mean Deviation 12,933,105,263
Median 14,642,000,000
Standard Deviation 20,290,306,958
Range 72,692,000,000
R Value 0.65
R Squared 0.43
Significance 0.02084
Slope 3,684,978,285

Citigroup Earnings before Tax Over Time

2016-12-31  21,356,000,000 
2017-12-31  21,356,000,000 
2018-12-31  24,230,526,316 

Other Fundumenentals of Citigroup

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Citigroup Fundamental Drivers

Citigroup Fundamental Market Drivers

Forward Price Earnings9.26
Short Percent Of Float0.72%
Average Daily Volume Last 10 Day19.94M
Shares Short Prior Month16.48M
Average Daily Volume In Three Month14.55M
Date Short InterestSeptember 28, 2018
Fifty Day Average71.64
Two Hundred Day Average69.85

Citigroup 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.