500 Net Income Trend

WBAI -- USA Stock  

USD 16.08  0.22  1.39%

This module enables investors to look at 500 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 28.7 M, Gross Profit of 78.2 M or Interest Expense of 2.5 M, but also many exotic indicators such as Asset Turnover of 0.0682, Book Value per Share of 5.6941 or Current Ratio of 7.1. This module is a perfect complement to use when analyzing 500 Valuation or Volatility. It can also complement various 500 Technical models. See also analysis of 500 Correlation with competitors.
Showing smoothed Net Income of 500 Limited with missing and latest data points interpolated. Net income is one of the most important fundamental items in finance. It plays a large role in 500 Limited financial statement analysis. It represents the amount of money remaining after all of 500 Limited operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. The portion of profit or loss for the period, net of income taxes, which is attributable to the parent after the deduction of Net Income to Non Controlling Interests from Consolidated Income, and before the deduction of Preferred Dividends.

(50.22 M)

          10 Years Trend
Slightly volatile
 Net Income 

Regression Statistics

Arithmetic Mean (51,786,385)
Geometric Mean  40,338,197
Coefficient Of Variation (315.05)
Mean Deviation  125,589,515
Median  13,557,000
Standard Deviation  163,150,917
Range  480,946,000
R Value (0.53)
R Squared  0.28
Significance  0.06
Slope (22,267,192)

500 Net Income Over Time

2016-12-31 (323,897,000) 
2017-12-31 (323,897,000) 
2018-12-31 (50,220,000) 

Other Fundumenentals

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See also analysis of 500 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.