Zscaler Net Debt To E B I T D A from 2010 to 2024
| ZS Stock | USD 169.14 0.12 0.07% |
Net Debt To EBITDA | First Reported 2010-12-31 | Previous Quarter 0.58 | Current Value 0.44 | Quarterly Volatility 3.83789028 |
Check Zscaler financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Zscaler's main balance sheet or income statement drivers, such as Tax Provision of 23.9 M, Interest Income of 73 M or Depreciation And Amortization of 80.7 M, as well as many indicators such as Price To Sales Ratio of 15.71, Dividend Yield of 0.0 or PTB Ratio of 45.1. Zscaler financial statements analysis is a perfect complement when working with Zscaler Valuation or Volatility modules.
Zscaler | Net Debt To E B I T D A |
Latest Zscaler's Net Debt To E B I T D A Growth Pattern
Below is the plot of the Net Debt To E B I T D A of Zscaler over the last few years. It is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company’s net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). Zscaler's Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Zscaler's overall financial position and show how it may be relating to other accounts over time.
| Net Debt To E B I T D A | 10 Years Trend |
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Net Debt To E B I T D A |
| Timeline |
Zscaler Net Debt To E B I T D A Regression Statistics
| Arithmetic Mean | 1.69 | |
| Coefficient Of Variation | 227.46 | |
| Mean Deviation | 2.89 | |
| Median | 3.27 | |
| Standard Deviation | 3.84 | |
| Sample Variance | 14.73 | |
| Range | 13.9067 | |
| R-Value | (0.56) | |
| Mean Square Error | 10.83 | |
| R-Squared | 0.32 | |
| Significance | 0.03 | |
| Slope | (0.48) | |
| Total Sum of Squares | 206.21 |
Zscaler Net Debt To E B I T D A History
About Zscaler Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Zscaler income statement, its balance sheet, and the statement of cash flows. Zscaler investors use historical funamental indicators, such as Zscaler's Net Debt To E B I T D A, to determine how well the company is positioned to perform in the future. Although Zscaler investors may use each financial statement separately, they are all related. The changes in Zscaler's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Zscaler's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Zscaler Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Zscaler. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Net Debt To EBITDA | 0.58 | 0.44 |
Pair Trading with Zscaler
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 Zscaler 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 Zscaler will appreciate offsetting losses from the drop in the long position's value.Moving together with Zscaler Stock
Moving against Zscaler Stock
The ability to find closely correlated positions to Zscaler could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Zscaler 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 Zscaler - 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 Zscaler to buy it.
The correlation of Zscaler 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 Zscaler moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Zscaler 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 Zscaler 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 Zscaler Stock Analysis
When running Zscaler's price analysis, check to measure Zscaler'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 Zscaler is operating at the current time. Most of Zscaler's value examination focuses on studying past and present price action to predict the probability of Zscaler's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zscaler's price. Additionally, you may evaluate how the addition of Zscaler to your portfolios can decrease your overall portfolio volatility.