CyberArk Other Operating Expenses from 2010 to 2024
| CYBR Stock | USD 318.78 9.23 2.81% |
Other Operating Expenses | First Reported 2012-03-31 | Previous Quarter 248.7 M | Current Value 251.2 M | Quarterly Volatility 74.7 M |
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 20.2 M, Interest Expense of 568.1 K or Selling General Administrative of 99.5 M, as well as many indicators such as Price To Sales Ratio of 12.63, Dividend Yield of 0.0 or PTB Ratio of 10.2. CyberArk financial statements analysis is a perfect complement when working with CyberArk Software Valuation or Volatility modules.
CyberArk | Other Operating Expenses |
Latest CyberArk Software's Other Operating Expenses Growth Pattern
Below is the plot of the Other Operating Expenses of CyberArk Software over the last few years. Other Operating Expenses is the expense which generally does not depend on sales or production quantities of CyberArk Software. It is also known as CyberArk Software overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. It is expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production. CyberArk Software's Other Operating Expenses 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.
| Other Operating Expenses | 10 Years Trend |
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Other Operating Expenses |
| Timeline |
CyberArk Other Operating Expenses Regression Statistics
| Arithmetic Mean | 334,780,200 | |
| Geometric Mean | 191,342,875 | |
| Coefficient Of Variation | 92.84 | |
| Mean Deviation | 256,920,907 | |
| Median | 241,375,000 | |
| Standard Deviation | 310,800,925 | |
| Sample Variance | 96597.2T | |
| Range | 881.1M | |
| R-Value | 0.95 | |
| Mean Square Error | 9553.8T | |
| R-Squared | 0.91 | |
| Slope | 66,229,089 | |
| Total Sum of Squares | 1352361T |
CyberArk Other Operating Expenses History
About CyberArk Software Financial Statements
CyberArk Software shareholders use historical fundamental indicators, such as Other Operating Expenses, 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 Reported | Projected for Next Year | ||
| Other Operating Expenses | 868.4 M | 911.8 M |
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
Moving against CyberArk Stock
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.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.