Extreme Current Deferred Revenue from 2010 to 2024

EXTR Stock  USD 16.60  0.18  1.10%   
Extreme Networks Current Deferred Revenue yearly trend continues to be relatively stable with very little volatility. Current Deferred Revenue is likely to grow to about 321.4 M this year. Current Deferred Revenue is revenue that has been collected but not yet earned, typically from prepaid service contracts or subscriptions. This amount is considered a liability until the service is provided or the subscription period ends. View All Fundamentals
 
Current Deferred Revenue  
First Reported
1999-09-30
Previous Quarter
306.1 M
Current Value
304.8 M
Quarterly Volatility
81.5 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Extreme Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Extreme Networks' main balance sheet or income statement drivers, such as Depreciation And Amortization of 30.1 M, Interest Expense of 17.8 M or Total Revenue of 601.8 M, as well as many indicators such as Price To Sales Ratio of 2.82, Dividend Yield of 0.0 or PTB Ratio of 70.5. Extreme financial statements analysis is a perfect complement when working with Extreme Networks Valuation or Volatility modules.
  
Check out the analysis of Extreme Networks Correlation against competitors.
To learn how to invest in Extreme Stock, please use our How to Invest in Extreme Networks guide.

Latest Extreme Networks' Current Deferred Revenue Growth Pattern

Below is the plot of the Current Deferred Revenue of Extreme Networks over the last few years. It is revenue that has been collected but not yet earned, typically from prepaid service contracts or subscriptions. This amount is considered a liability until the service is provided or the subscription period ends. Extreme Networks' Current Deferred Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Extreme Networks' overall financial position and show how it may be relating to other accounts over time.
Current Deferred Revenue10 Years Trend
Slightly volatile
   Current Deferred Revenue   
       Timeline  

Extreme Current Deferred Revenue Regression Statistics

Arithmetic Mean159,478,847
Geometric Mean128,011,613
Coefficient Of Variation59.66
Mean Deviation79,204,749
Median130,865,000
Standard Deviation95,139,777
Sample Variance9051.6T
Range299.4M
R-Value0.98
Mean Square Error432.6T
R-Squared0.96
Slope20,796,500
Total Sum of Squares126722.1T

Extreme Current Deferred Revenue History

2024321.4 M
2023306.1 M
2022282.5 M
2021238.3 M
2020212.4 M
2019190.2 M
2018144.2 M

About Extreme Networks Financial Statements

Extreme Networks shareholders use historical fundamental indicators, such as Current Deferred Revenue, to determine how well the company is positioned to perform in the future. Although Extreme Networks investors may analyze each financial statement separately, they are all interrelated. The changes in Extreme Networks' assets and liabilities, for example, are also reflected in the revenues and expenses on on Extreme Networks' 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
Current Deferred Revenue306.1 M321.4 M

Pair Trading with Extreme Networks

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 Extreme Networks 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 Extreme Networks will appreciate offsetting losses from the drop in the long position's value.

Moving together with Extreme Stock

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Moving against Extreme Stock

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

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