Alcoa Price to Earnings Ratio Trend

AA -- USA Stock  

USD 36.70  1.90  4.92%

This module enables investors to look at Alcoa 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 10.6 B, Gross Profit of 2.6 B or Interest Expense of 317.6 M, but also many exotic indicators such as Interest Coverage of 0.9366, Long Term Debt to Equity of 0.0258 or PPandE Turnover of 1.272. This module is a perfect complement to use when analyzing Alcoa Valuation or Volatility. It can also complement various Alcoa Technical models. Check also analysis of Alcoa Correlation with competitors.
Showing smoothed Price to Earnings Ratio of Alcoa Corporation with missing and latest data points interpolated. An alternative to [PE] representing the ratio between Adjusted Share Price and Earnings per Basic Share USD.

51.46 times

          10 Years Trend
Very volatile
 Price to Earnings Ratio 

Alcoa Regression Statistics

Arithmetic Mean 5.02
Geometric Mean 32.59
Coefficient Of Variation 1,065
Mean Deviation 42.72
Median 15.18
Standard Deviation 53.49
Sample Variance 2,861
Range 187.79
R Value 0.10
Mean Square Error 3,114
R Squared 0.010663
Significance 0.75
Slope 1.53
Total Sum of Squares 31,476

Alcoa Price to Earnings Ratio Over Time

2016-12-31 (31.84) 
2017-12-31 (31.84) 
2018-12-31  51.46 

Other Fundumenentals of Alcoa

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Alcoa Fundamental Drivers

Alcoa Corporation Fundamental Market Drivers

Short Percent Of Float2.83%
Forward Price Earnings9.86
Shares Short Prior Month8.47M
Average Daily Volume Last 10 Day5.26M
Average Daily Volume In Three Month4.63M
Date Short InterestSeptember 28, 2018
Fifty Day Average40.78
Two Hundred Day Average46.08

Alcoa Upcoming Events

Alcoa Upcoming Company Events

Upcoming Quarterly ReportApril 10, 2017
Next Earnings ReportJuly 10, 2017
Check also analysis of Alcoa Correlation with competitors. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.