Check Cost Of Revenue from 2010 to 2024

CHKP Stock  USD 181.75  0.24  0.13%   
Check Point Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to grow to about 307.5 M this year. During the period from 2010 to 2024, Check Point Cost Of Revenue destribution of quarterly values had range of 306.1 M from its regression line and mean deviation of  50,377,404. View All Fundamentals
 
Cost Of Revenue  
First Reported
1997-03-31
Previous Quarter
85.9 M
Current Value
79.9 M
Quarterly Volatility
25 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 Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Check Point Software over the last few years. Cost of Revenue is found on Check Point Software income statement and represents the costs associated with goods and services Check Point provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Check Point's Cost Of Revenue 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.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Check Cost Of Revenue Regression Statistics

Arithmetic Mean205,711,067
Geometric Mean153,772,848
Coefficient Of Variation36.49
Mean Deviation50,377,404
Median202,003,000
Standard Deviation75,053,704
Sample Variance5633.1T
Range306.1M
R-Value0.88
Mean Square Error1320.5T
R-Squared0.78
Significance0.000012
Slope14,843,982
Total Sum of Squares78862.8T

Check Cost Of Revenue History

2024307.5 M
2023292.9 M
2022304.4 M
2021258.1 M
2020226.5 M
2019215.4 M
2018201.4 M

About Check Point Financial Statements

Check Point shareholders use historical fundamental indicators, such as Cost Of Revenue, 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
Cost Of Revenue292.9 M307.5 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 together with Check Stock

  0.62BB BlackBerry Buyout TrendPairCorr

Moving against Check Stock

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  0.57FLYW Flywire CorpPairCorr
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  0.49FIVN Five9 IncPairCorr
  0.4EVTC EvertecPairCorr
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.