Check Operating Cycle from 2010 to 2026
| CHKP Stock | USD 174.07 6.14 3.41% |
Operating Cycle | First Reported 2010-12-31 | Previous Quarter 93.34 | Current Value 75.86 | Quarterly Volatility 7.57404137 |
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 100.9 M, Interest Expense of 1.5 M or Selling General Administrative of 121.2 M, as well as many indicators such as Price To Sales Ratio of 14.64, Dividend Yield of 0.0 or PTB Ratio of 8.9. Check financial statements analysis is a perfect complement when working with Check Point Valuation or Volatility modules.
Check | Operating Cycle | Build AI portfolio with Check Stock |
Evaluating Check Point's Operating Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Check Point Software's fundamental strength.
Latest Check Point's Operating Cycle Growth Pattern
Below is the plot of the Operating Cycle of Check Point Software over the last few years. It is Check Point's Operating Cycle 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.
| Operating Cycle | 10 Years Trend |
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Operating Cycle |
| Timeline |
Check Operating Cycle Regression Statistics
| Arithmetic Mean | 96.68 | |
| Geometric Mean | 96.39 | |
| Coefficient Of Variation | 7.83 | |
| Mean Deviation | 5.79 | |
| Median | 99.40 | |
| Standard Deviation | 7.57 | |
| Sample Variance | 57.37 | |
| Range | 32.8391 | |
| R-Value | (0.44) | |
| Mean Square Error | 49.40 | |
| R-Squared | 0.19 | |
| Significance | 0.08 | |
| Slope | (0.66) | |
| Total Sum of Squares | 917.86 |
Check Operating Cycle History
About Check Point Financial Statements
Check Point shareholders use historical fundamental indicators, such as Operating Cycle, 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 Reported | Projected for Next Year | ||
| Operating Cycle | 93.34 | 75.86 |
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
Moving against Check Stock
| 0.72 | SAR | Saratoga Investment Corp | PairCorr |
| 0.64 | WMT | Walmart Common Stock Aggressive Push | PairCorr |
| 0.36 | ACN | Accenture plc | PairCorr |
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.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.