United States Earnings per Basic Share Trend

United States Natural Gas -- USA Etf  

USD 22.58  0.02  0.0887%

This module enables investors to look at United States 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 Operating Expenses of 7.3 M, Selling General and Administrative Expense of 6.7 M or Weighted Average Shares of 49.2 M, but also many exotic indicators such as Book Value per Share of 8.7621, Debt to Equity Ratio of 0.13 or EBITDA Margin of 1.0389. This module is a perfect complement to use when analyzing United States Valuation or Volatility. It can also complement various United States Technical models. Also please take a look at analysis of United States Correlation with competitors.
Showing smoothed Earnings per Basic Share of United States Natural Gas with missing and latest data points interpolated. Earnings per share as calculated and reported by the company. Approximates to the amount of Net Income for the period per each Weighted Average Shares.
Earnings per Basic Share  10 Years Trend  
Increasing
Slightly volatile
 Earnings per Basic Share 
      Timeline 

Regression Statistics

Arithmetic Mean (38.73)
Geometric Mean  11.16
Coefficient Of Variation (125.73)
Mean Deviation  42.33
Median (7.01)
Standard Deviation  48.69
Sample Variance  2,371
Range  112.28
R Value  0.88
Mean Square Error  600.81
R Squared  0.77
Significance  0.00008554
Slope  10.96
Total Sum of Squares  28,453

United States Earnings per Basic Share Over Time

2016-12-31  0.60 
2017-12-31  0.60 
2018-12-31 (2.81) 

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UNG - USA Etf
United States Natural Gas
Fama & French Trading
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Fama & French Classification
ExchangeArchipelago Exchange
$22.58

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Also please take a look at analysis of United States Correlation with competitors. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.