Citigroup Cash and Equivalents 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 Cash and Equivalents of Citigroup with missing and latest data points interpolated. A component of Total Assets representing the amount of currency on hand as well as demand deposits with banks or financial institutions.
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698.9 B

          10 Years Trend
Increasing
Slightly volatile
 Cash and Equivalents 
      Timeline 

Citigroup Regression Statistics

Arithmetic Mean 203,625,250,000
Geometric Mean 163,485,946,609
Coefficient Of Variation 80.09
Mean Deviation 82,545,791,667
Median 184,485,000,000
Standard Deviation 163,077,991,009
Range 673,420,000,000
R Value 0.50
R Squared 0.25
Significance 0.09
Slope 22,831,975,524

Citigroup Cash and Equivalents Over Time

2016-12-31  160,494,000,000 
2017-12-31  160,494,000,000 
2018-12-31  698,900,000,000 

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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