CyberArk Price To Sales Ratio from 2010 to 2025

CYBR Stock  USD 341.21  7.21  2.07%   
CyberArk Software Price To Sales Ratio yearly trend continues to be relatively stable with very little volatility. Price To Sales Ratio is likely to drop to 12.88. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing CyberArk Software's market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
14.70834336
Current Value
12.88
Quarterly Volatility
5.84680569
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check CyberArk Software financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among CyberArk Software's main balance sheet or income statement drivers, such as Depreciation And Amortization of 44.1 M, Interest Expense of 3.4 M or Selling General Administrative of 148.2 M, as well as many indicators such as Price To Sales Ratio of 12.88, Dividend Yield of 0.0 or PTB Ratio of 9.93. CyberArk financial statements analysis is a perfect complement when working with CyberArk Software Valuation or Volatility modules.
  
Check out the analysis of CyberArk Software Correlation against competitors.
To learn how to invest in CyberArk Stock, please use our How to Invest in CyberArk Software guide.

Latest CyberArk Software's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of CyberArk Software over the last few years. Price to Sales Ratio is figured by comparing CyberArk Software stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on CyberArk Software sales, a figure that is much harder to manipulate than other CyberArk Software multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. CyberArk Software's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in CyberArk Software's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 17.22 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

CyberArk Price To Sales Ratio Regression Statistics

Arithmetic Mean12.58
Geometric Mean11.39
Coefficient Of Variation46.49
Mean Deviation4.36
Median12.88
Standard Deviation5.85
Sample Variance34.19
Range19.2125
R-Value(0.38)
Mean Square Error31.34
R-Squared0.14
Significance0.15
Slope(0.47)
Total Sum of Squares512.78

CyberArk Price To Sales Ratio History

2025 12.88
2024 14.71
2023 12.14
2022 8.89
2021 13.66
2020 13.44
2019 10.1

About CyberArk Software Financial Statements

CyberArk Software shareholders use historical fundamental indicators, such as Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although CyberArk Software investors may analyze each financial statement separately, they are all interrelated. The changes in CyberArk Software's assets and liabilities, for example, are also reflected in the revenues and expenses on on CyberArk Software'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
Price To Sales Ratio 14.71  12.88 

Pair Trading with CyberArk Software

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 CyberArk Software 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 CyberArk Software will appreciate offsetting losses from the drop in the long position's value.

Moving together with CyberArk Stock

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Moving against CyberArk Stock

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The ability to find closely correlated positions to CyberArk Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CyberArk Software 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 CyberArk Software - 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 CyberArk Software to buy it.
The correlation of CyberArk Software 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 CyberArk Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CyberArk 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 CyberArk Software 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 CyberArk Stock Analysis

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