Extreme Other Current Assets from 2010 to 2024

EXTR Stock  USD 16.03  0.37  2.36%   
Extreme Networks Other Current Assets yearly trend continues to be relatively stable with very little volatility. Other Current Assets are likely to grow to about 83.7 M this year. Other Current Assets is assets expected to be converted into cash, sold, or consumed either in one year or in the operating cycle, which are not included under standard current asset categories. View All Fundamentals
 
Other Current Assets  
First Reported
1999-03-31
Previous Quarter
79.7 M
Current Value
76.5 M
Quarterly Volatility
22.8 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' Other Current Assets Growth Pattern

Below is the plot of the Other Current Assets of Extreme Networks over the last few years. It is assets expected to be converted into cash, sold, or consumed either in one year or in the operating cycle, which are not included under standard current asset categories. Extreme Networks' Other Current Assets 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.
Other Current Assets10 Years Trend
Slightly volatile
   Other Current Assets   
       Timeline  

Extreme Other Current Assets Regression Statistics

Arithmetic Mean44,331,057
Geometric Mean30,737,571
Coefficient Of Variation83.91
Mean Deviation31,438,609
Median30,484,000
Standard Deviation37,196,191
Sample Variance1383.6T
Range115M
R-Value0.82
Mean Square Error484.2T
R-Squared0.68
Significance0.0002
Slope6,833,428
Total Sum of Squares19369.8T

Extreme Other Current Assets History

202483.7 M
202379.7 M
202270.3 M
2021121.2 M
2020102.7 M
201935 M
201834.4 M

About Extreme Networks Financial Statements

Extreme Networks shareholders use historical fundamental indicators, such as Other Current Assets, 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
Other Current Assets79.7 M83.7 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 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.