American Airlines Accumulated Other Comprehensive Income Trend

AAL -- USA Stock  

USD 37.12  0.79  2.17%

This module enables investors to look at American Airlines 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 5.4 B, Cost of Revenue of 17.4 B or Earning Before Interest and Taxes EBIT of 5.7 B, but also many exotic indicators such as Interest Coverage of 6.8794, Long Term Debt to Equity of 4.8392 or PPandE Turnover of 1.5718. This module is a perfect complement to use when analyzing American Airlines Valuation or Volatility. It can also complement various American Airlines Technical models. Check also analysis of American Airlines Correlation with competitors.
Showing smoothed Accumulated Other Comprehensive Income of American Airlines Group with missing and latest data points interpolated. A component of Shareholders Equity representing the accumulated change in equity from transactions and other events and circumstances from non-owner sources
Accumulated Other Comprehensive Income10 Years Trend
Decreasing
Slightly volatile
 Accumulated Other Comprehensive Income 
      Timeline 

Regression Statistics

Arithmetic Mean (3,533,399,123)
Geometric Mean  2,808,268,553
Coefficient Of Variation (43.14)
Mean Deviation  1,231,065,789
Median (3,177,000,000)
Standard Deviation  1,524,470,625
Range  5,019,789,474
R Value (0.82)
R Squared  0.68
Significance  0.00098927
Slope (348,275,120)

American Airlines Accumulated Other Comprehensive Income Over Time

2016-12-31 (5,083,000,000) 
2017-12-31 (5,083,000,000) 
2018-12-31 (5,165,789,474) 

Other Fundumenentals

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American Airlines Upcoming Company Events

Upcoming Quarterly ReportApril 28, 2017
Next Earnings ReportJuly 28, 2017
Check also analysis of American Airlines Correlation with competitors. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.