Check Property Plant And Equipment Gross from 2010 to 2024

CHKP Stock  USD 187.90  2.97  1.56%   
Check Point Property Plant And Equipment Gross yearly trend continues to be relatively stable with very little volatility. Property Plant And Equipment Gross is likely to grow to about 224.7 M this year. During the period from 2010 to 2024, Check Point Property Plant And Equipment Gross destribution of quarterly values had range of 223.5 M from its regression line and mean deviation of  58,501,902. View All Fundamentals
 
Property Plant And Equipment Gross  
First Reported
1996-09-30
Previous Quarter
214 M
Current Value
214 M
Quarterly Volatility
43.8 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Check Point financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Check Point's main balance sheet or income statement drivers, such as Depreciation And Amortization of 26.2 M, Interest Expense of 2.2 M or Selling General Administrative of 121.1 M, as well as many indicators such as Price To Sales Ratio of 7.03, Dividend Yield of 4.0E-4 or PTB Ratio of 6.02. Check financial statements analysis is a perfect complement when working with Check Point Valuation or Volatility modules.
  
Check out the analysis of Check Point Correlation against competitors.

Latest Check Point's Property Plant And Equipment Gross Growth Pattern

Below is the plot of the Property Plant And Equipment Gross of Check Point Software over the last few years. It is Check Point's Property Plant And Equipment Gross historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Check Point'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  

Check Property Plant And Equipment Gross Regression Statistics

Arithmetic Mean94,158,933
Geometric Mean61,123,762
Coefficient Of Variation77.26
Mean Deviation58,501,902
Median77,767,000
Standard Deviation72,749,180
Sample Variance5292.4T
Range223.5M
R-Value0.93
Mean Square Error787.5T
R-Squared0.86
Slope15,101,646
Total Sum of Squares74094.2T

Check Property Plant And Equipment Gross History

2024224.7 M
2023214 M
2022195.5 M
2021181.2 M
202088.1 M
201987.7 M
201878.5 M

About Check Point Financial Statements

Check Point 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 Check Point investors may analyze each financial statement separately, they are all interrelated. The changes in Check Point's assets and liabilities, for example, are also reflected in the revenues and expenses on on Check Point'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 Gross214 M224.7 M

Pair Trading with Check Point

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Check Point position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Check Point will appreciate offsetting losses from the drop in the long position's value.

Moving against Check Stock

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The ability to find closely correlated positions to Check Point could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Check Point when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Check Point - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Check Point Software to buy it.
The correlation of Check Point is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Check Point moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Check Point Software moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Check Point can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Check Stock Analysis

When running Check Point's price analysis, check to measure Check Point'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 Check Point is operating at the current time. Most of Check Point's value examination focuses on studying past and present price action to predict the probability of Check Point's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Check Point's price. Additionally, you may evaluate how the addition of Check Point to your portfolios can decrease your overall portfolio volatility.