DXP Enterprises Net Income Trend

DXPE -- USA Stock  

USD 46.40  0.36  0.77%

This module enables investors to look at DXP Enterprises 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 1.1 B, Gross Profit of 271.6 M or Interest Expense of 12.9 M, but also many exotic indicators such as Interest Coverage of 18.9007, Long Term Debt to Equity of 1.7832 or Calculated Tax Rate of 42.8273. This module is a perfect complement to use when analyzing DXP Enterprises Valuation or Volatility. It can also complement various DXP Enterprises Technical models. Additionally see analysis of DXP Enterprises Correlation with competitors.
Showing smoothed Net Income of DXP Enterprises 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 DXP Enterprises financial statement analysis. It represents the amount of money remaining after all of DXP Enterprises 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 [NetIncNCI] from [ConsolInc]; and before the deduction of [PrefDivIS].

25.64 M

          10 Years Trend
 Net Income 

Regression Statistics

Arithmetic Mean  997,667
Coefficient Of Variation  3,963
Mean Deviation  34,720,722
Median  19,400,000
Standard Deviation  39,536,642
Range  105,475,000
R Value (0.26)
R Squared  0.07
Significance  0.42
Slope (2,807,895)

DXP Enterprises Net Income Over Time

2016-12-31 (38,536,000) 
2017-12-31 (38,536,000) 
2018-12-31  25,640,000 

Other Fundumenentals

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Upcoming Events

DXP Enterprises Upcoming Company Events
Upcoming Quarterly ReportMarch 3, 2017
Next Earnings ReportMay 11, 2017
Additionally see analysis of DXP Enterprises Correlation with competitors. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.