Hooker Property Plant And Equipment Gross from 2010 to 2024

HOFT Stock  USD 18.43  0.29  1.60%   
Hooker Furniture Property Plant And Equipment Gross yearly trend continues to be comparatively stable with very little volatility. Property Plant And Equipment Gross is likely to outpace its year average in 2024. From the period from 2010 to 2024, Hooker Furniture Property Plant And Equipment Gross quarterly data regression had r-value of  0.85 and coefficient of variation of  72.88. View All Fundamentals
 
Property Plant And Equipment Gross  
First Reported
1999-01-31
Previous Quarter
126.9 M
Current Value
125.7 M
Quarterly Volatility
26.9 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Hooker Furniture financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hooker Furniture's main balance sheet or income statement drivers, such as Depreciation And Amortization of 6.2 M, Interest Expense of 1.3 M or Total Revenue of 393.5 M, as well as many indicators such as Price To Sales Ratio of 0.68, Dividend Yield of 0.0214 or PTB Ratio of 1.42. Hooker financial statements analysis is a perfect complement when working with Hooker Furniture Valuation or Volatility modules.
  
Check out the analysis of Hooker Furniture Correlation against competitors.
For more information on how to buy Hooker Stock please use our How to Invest in Hooker Furniture guide.

Latest Hooker Furniture's Property Plant And Equipment Gross Growth Pattern

Below is the plot of the Property Plant And Equipment Gross of Hooker Furniture over the last few years. It is Hooker Furniture's Property Plant And Equipment Gross historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hooker Furniture's overall financial position and show how it may be relating to other accounts over time.
Property Plant And Equipment Gross10 Years Trend
Slightly volatile
   Property Plant And Equipment Gross   
       Timeline  

Hooker Property Plant And Equipment Gross Regression Statistics

Arithmetic Mean53,885,143
Geometric Mean42,983,672
Coefficient Of Variation72.88
Mean Deviation32,672,039
Median29,482,000
Standard Deviation39,272,605
Sample Variance1542.3T
Range112.3M
R-Value0.85
Mean Square Error465.2T
R-Squared0.72
Significance0.000064
Slope7,450,947
Total Sum of Squares21592.7T

Hooker Property Plant And Equipment Gross History

2024134 M
2023127.6 M
202296 M
202179.9 M
202061.4 M
201969.4 M
201829.5 M

About Hooker Furniture Financial Statements

Hooker Furniture shareholders use historical fundamental indicators, such as Property Plant And Equipment Gross, to determine how well the company is positioned to perform in the future. Although Hooker Furniture investors may analyze each financial statement separately, they are all interrelated. The changes in Hooker Furniture's assets and liabilities, for example, are also reflected in the revenues and expenses on on Hooker Furniture's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Property Plant And Equipment Gross127.6 M134 M

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Additional Tools for Hooker Stock Analysis

When running Hooker Furniture's price analysis, check to measure Hooker Furniture's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hooker Furniture is operating at the current time. Most of Hooker Furniture's value examination focuses on studying past and present price action to predict the probability of Hooker Furniture's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hooker Furniture's price. Additionally, you may evaluate how the addition of Hooker Furniture to your portfolios can decrease your overall portfolio volatility.