Diamond Hill Weighted Average Shares Diluted Trend

Diamond Hill Investment Group -- USA Stock  

USD 200.10  0.59  0.30%

This module enables investors to look at Diamond Hill 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 Consolidated Income of 54.8 M, Earning Before Interest and Taxes EBIT of 85.6 M or Gross Profit of 145.2 M, but also many exotic indicators such as Interest Coverage of 9.0252, Calculated Tax Rate of 42.4234 or PPandE Turnover of 43.8319. This module is a perfect complement to use when analyzing Diamond Hill Valuation or Volatility. It can also complement various Diamond Hill Technical models. Additionally see analysis of Diamond Hill Correlation with competitors.
Showing smoothed Weighted Average Shares Diluted of Diamond Hill Investment Group with missing and latest data points interpolated. The weighted average number of shares or units issued and outstanding that are used by the company to calculate Earnings per Diluted Share, determined based on the timing of issuance of shares or units in the period.
Weighted Average Shares Diluted  10 Years Trend  
Increasing
Slightly volatile
 Weighted Average Shares Diluted 
      Timeline 

Regression Statistics

Arithmetic Mean  2,913,050
Geometric Mean  2,849,903
Coefficient Of Variation  19.78
Mean Deviation  457,001
Median  3,111,328
Standard Deviation  576,311
Range  1,998,445
R Value  0.94
R Squared  0.88
Significance  0.00000184
Slope  139,073

Diamond Hill Weighted Average Shares Diluted Over Time

2016-12-31  3,413,391 
2017-12-31  3,413,391 
2018-12-31  3,564,830 

Other Fundumenentals

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DHIL - USA Stock
Diamond Hill Investment Group
Fama & French Trading
Trading
Fama & French Classification
RegionNorth America
ExchangeNASDAQ
$200.1

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Additionally see analysis of Diamond Hill Correlation with competitors. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.