Weis Enterprise Value Multiple from 2010 to 2025

WMK Stock  USD 67.72  0.22  0.33%   
Weis Markets Enterprise Value Multiple yearly trend continues to be quite stable with very little volatility. The value of Enterprise Value Multiple is projected to decrease to 9.69. From the period between 2010 and 2025, Weis Markets, Enterprise Value Multiple regression line of its data series had standard deviation of  1.45 and standard deviation of  1.45. View All Fundamentals
 
Enterprise Value Multiple  
First Reported
2010-12-31
Previous Quarter
9.87
Current Value
9.69
Quarterly Volatility
1.45035373
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Weis Markets financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Weis Markets' main balance sheet or income statement drivers, such as Depreciation And Amortization of 113.9 M, Interest Expense of 36.1 K or Total Revenue of 2.6 B, as well as many indicators such as Price To Sales Ratio of 0.7, Dividend Yield of 0.0314 or PTB Ratio of 1.93. Weis financial statements analysis is a perfect complement when working with Weis Markets Valuation or Volatility modules.
  
Check out the analysis of Weis Markets Correlation against competitors.
For more information on how to buy Weis Stock please use our How to buy in Weis Stock guide.

Latest Weis Markets' Enterprise Value Multiple Growth Pattern

Below is the plot of the Enterprise Value Multiple of Weis Markets over the last few years. It is Weis Markets' Enterprise Value Multiple historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Weis Markets' overall financial position and show how it may be relating to other accounts over time.
Enterprise Value Multiple10 Years Trend
Pretty Stable
   Enterprise Value Multiple   
       Timeline  

Weis Enterprise Value Multiple Regression Statistics

Arithmetic Mean8.15
Geometric Mean8.04
Coefficient Of Variation17.80
Mean Deviation1.19
Median7.45
Standard Deviation1.45
Sample Variance2.10
Range5.0324
R-Value0.17
Mean Square Error2.20
R-Squared0.03
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