Extreme Net Debt from 2010 to 2024

EXTR Stock  USD 11.20  0.35  3.03%   
Extreme Networks Net Debt yearly trend continues to be relatively stable with very little volatility. Net Debt is likely to drop to about 29.5 M. Net Debt is the total debt of Extreme Networks minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. View All Fundamentals
 
Net Debt  
First Reported
1999-03-31
Previous Quarter
21.7 M
Current Value
25.4 M
Quarterly Volatility
113 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 main balance sheet or income statement drivers, such as Depreciation And Amortization of 28.5 M, Interest Expense of 21 M or Total Revenue of 1.6 B, as well as many exotic indicators such as Price To Sales Ratio of 2.86, Dividend Yield of 0.0 or PTB Ratio of 27.3. Extreme financial statements analysis is a perfect complement when working with Extreme Networks Valuation or Volatility modules.
  
This module can also supplement Extreme Networks' financial leverage analysis and stock options assessment as well as various Extreme Networks Technical models . 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' Net Debt Growth Pattern

Below is the plot of the Net Debt of Extreme Networks over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Extreme Networks' Net Debt 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.
Net Debt10 Years Trend
Slightly volatile
   Net Debt   
       Timeline  

Extreme Net Debt Regression Statistics

Arithmetic Mean38,216,176
Geometric Mean42,409,333
Coefficient Of Variation254.02
Mean Deviation69,484,149
Median29,473,189
Standard Deviation97,075,888
Sample Variance9423.7T
Range382.5M
R-Value0.49
Mean Square Error7682.5T
R-Squared0.24
Significance0.06
Slope10,700,450
Total Sum of Squares131932.2T

Extreme Net Debt History

202429.5 M
202334.3 M
202229.8 M
2021156.6 M
2020143.9 M
2019286.7 M
20189.1 M

Other Fundumenentals of Extreme Networks

Extreme Networks Net Debt component correlations

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-0.08-0.64-0.070.070.03-0.21-0.070.110.53-0.08-0.37-0.18-0.49-0.74-0.170.45-0.23-0.3-0.12-0.15-0.460.35-0.380.21-0.02
0.55-0.64-0.490.310.420.620.480.42-0.410.430.490.480.920.91-0.05-0.780.590.440.43-0.170.86-0.380.78-0.550.22
-0.66-0.07-0.49-0.5-0.67-0.64-0.71-0.510.47-0.56-0.01-0.45-0.63-0.320.10.68-0.55-0.27-0.370.55-0.540.69-0.590.4-0.26
0.940.070.31-0.50.910.910.80.45-0.50.94-0.160.590.450.44-0.7-0.720.890.740.86-0.780.54-0.520.77-0.760.84
0.90.030.42-0.670.910.880.850.33-0.580.840.10.510.610.48-0.42-0.730.790.580.65-0.760.58-0.660.74-0.590.63
0.99-0.210.62-0.640.910.880.850.58-0.590.96-0.050.680.70.71-0.61-0.920.980.790.89-0.730.78-0.60.93-0.850.79
0.86-0.070.48-0.710.80.850.850.6-0.510.81-0.020.650.60.55-0.44-0.790.790.760.68-0.590.7-0.580.79-0.650.71
0.60.110.42-0.510.450.330.580.60.060.57-0.340.60.350.35-0.53-0.580.650.570.68-0.290.60.030.6-0.760.61
-0.530.53-0.410.47-0.5-0.58-0.59-0.510.06-0.56-0.05-0.49-0.48-0.50.20.67-0.55-0.49-0.390.36-0.390.91-0.530.39-0.35
0.97-0.080.43-0.560.940.840.960.810.57-0.56-0.210.630.490.54-0.72-0.820.970.80.94-0.790.61-0.550.82-0.870.88
-0.1-0.370.49-0.01-0.160.1-0.05-0.02-0.34-0.05-0.21-0.280.450.340.550.0-0.17-0.26-0.310.120.15-0.090.020.27-0.4
0.67-0.180.48-0.450.590.510.680.650.6-0.490.63-0.280.50.56-0.69-0.740.710.790.65-0.090.7-0.320.74-0.70.58
0.65-0.490.92-0.630.450.610.70.60.35-0.480.490.450.50.87-0.03-0.820.610.430.4-0.310.9-0.530.84-0.470.22
0.63-0.740.91-0.320.440.480.710.550.35-0.50.540.340.560.87-0.2-0.840.690.630.55-0.220.91-0.410.86-0.620.4
-0.64-0.17-0.050.1-0.7-0.42-0.61-0.44-0.530.2-0.720.55-0.69-0.03-0.20.42-0.69-0.78-0.820.36-0.30.03-0.50.73-0.84
-0.880.45-0.780.68-0.72-0.73-0.92-0.79-0.580.67-0.820.0-0.74-0.82-0.840.42-0.9-0.75-0.760.52-0.890.66-0.960.81-0.62
0.97-0.230.59-0.550.890.790.980.790.65-0.550.97-0.170.710.610.69-0.69-0.90.840.96-0.690.75-0.510.92-0.930.86
0.78-0.30.44-0.270.740.580.790.760.57-0.490.8-0.260.790.430.63-0.78-0.750.840.84-0.380.68-0.320.8-0.810.89
0.9-0.120.43-0.370.860.650.890.680.68-0.390.94-0.310.650.40.55-0.82-0.760.960.84-0.660.61-0.310.8-0.950.92
-0.77-0.15-0.170.55-0.78-0.76-0.73-0.59-0.290.36-0.790.12-0.09-0.31-0.220.360.52-0.69-0.38-0.66-0.290.54-0.520.53-0.64
0.74-0.460.86-0.540.540.580.780.70.6-0.390.610.150.70.90.91-0.3-0.890.750.680.61-0.29-0.380.94-0.680.47
-0.570.35-0.380.69-0.52-0.66-0.6-0.580.030.91-0.55-0.09-0.32-0.53-0.410.030.66-0.51-0.32-0.310.54-0.38-0.520.29-0.26
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-0.840.21-0.550.4-0.76-0.59-0.85-0.65-0.760.39-0.870.27-0.7-0.47-0.620.730.81-0.93-0.81-0.950.53-0.680.29-0.82-0.84
0.81-0.020.22-0.260.840.630.790.710.61-0.350.88-0.40.580.220.4-0.84-0.620.860.890.92-0.640.47-0.260.68-0.84
Click cells to compare fundamentals

About Extreme Networks Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Extreme Networks income statement, its balance sheet, and the statement of cash flows. Extreme Networks investors use historical funamental indicators, such as Extreme Networks's Net Debt, to determine how well the company is positioned to perform in the future. Although Extreme Networks investors may use each financial statement separately, they are all related. The changes in Extreme Networks's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Extreme Networks'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 Extreme Networks Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Extreme Networks. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Net Debt34.3 M29.5 M
Net Debt To EBITDA 0.23  0.22 

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
When determining whether Extreme Networks is a strong investment it is important to analyze Extreme Networks' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Extreme Networks' future performance. For an informed investment choice regarding Extreme Stock, refer to the following important reports:
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.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

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Is Extreme Networks' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Extreme Networks. If investors know Extreme will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Extreme Networks listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.77)
Earnings Share
0.6
Revenue Per Share
10.456
Quarterly Revenue Growth
(0.07)
Return On Assets
0.0723
The market value of Extreme Networks is measured differently than its book value, which is the value of Extreme that is recorded on the company's balance sheet. Investors also form their own opinion of Extreme Networks' value that differs from its market value or its book value, called intrinsic value, which is Extreme Networks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Extreme Networks' market value can be influenced by many factors that don't directly affect Extreme Networks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Extreme Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Extreme Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Extreme Networks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.