Alcoa EBITDA Margin Trend

AA -- USA Stock  

USD 37.32  1.03  2.69%

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 EBITDA Margin of Alcoa Corporation with missing and latest data points interpolated. Measures the ratio between a company's Earnings Before Interest Taxes and Depreciation Amortization EBITDA and Revenues.
EBITDA Margin10 Years Trend
Increasing
Slightly volatile
 EBITDA Margin 
      Timeline 

Alcoa Regression Statistics

Arithmetic Mean(0.041054)
Coefficient Of Variation(227.42)
Mean Deviation 0.09
Median(0.12)
Standard Deviation 0.09
Sample Variance 0.008717
Range 0.21
R Value 0.83
Mean Square Error 0.00297
R Squared 0.69
Significance 0.00081568
Slope 0.021514
Total Sum of Squares 0.1

Alcoa EBITDA Margin Over Time

2016-12-31  0.05 
2017-12-31  0.05 
2018-12-31  0.06 

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 Cryptocurrency Arbitrage module to find pairs of digital assets on multiple exchanges that are traded at a risk free arbitrage.
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