Extreme Networks Stock Net Income

EXTR Stock  USD 16.77  0.00  0.00%   
Fundamental analysis of Extreme Networks allows traders to better anticipate movements in Extreme Networks' stock price by examining its financial health and performance throughout various phases of its business cycle.
Last ReportedProjected for Next Year
Net Loss-7.5 M-7.8 M
Net Income Applicable To Common Shares70.3 M73.8 M
Net Loss-7.5 M-7.8 M
Net Loss(0.06)(0.06)
Net Loss(1.75)(1.66)
As of 12/29/2025, Net Income Applicable To Common Shares is likely to grow to about 73.8 M, while Net Loss is likely to drop (7.8 M).
  
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Extreme Networks Company Net Income Analysis

Extreme Networks' Net income is the profit of a company for the reporting period, which is derived after taking revenues and gains and subtracting all expenses and losses. Net income is one of the most-watched numbers by money managers as well as individual investors.

Net Income

 = 

(Rev + Gain)

-

(Exp + Loss)

More About Net Income | All Equity Analysis

Current Extreme Networks Net Income

    
  (7.47 M)  
Most of Extreme Networks' fundamental indicators, such as Net Income, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Extreme Networks is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Extreme Net Income Driver Correlations

Understanding the fundamental principles of building solid financial models for Extreme Networks is extremely important. It helps to project a fair market value of Extreme Stock properly, considering its historical fundamentals such as Net Income. Since Extreme Networks' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Extreme Networks' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Extreme Networks' interrelated accounts and indicators.
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
Competition

Extreme Accumulated Other Comprehensive Income

Accumulated Other Comprehensive Income

(7.73 Million)

Extreme Networks reported last year Accumulated Other Comprehensive Income of (8.14 Million)
Based on the recorded statements, Extreme Networks reported net income of (7.47 Million). This is 101.39% lower than that of the Communications Equipment sector and 102.79% lower than that of the Information Technology industry. The net income for all United States stocks is 101.31% higher than that of the company.

Extreme Net Income Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Extreme Networks' direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Extreme Networks could also be used in its relative valuation, which is a method of valuing Extreme Networks by comparing valuation metrics of similar companies.
Extreme Networks is currently under evaluation in net income category among its peers.

Extreme Networks ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Extreme Networks' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Extreme Networks' managers, analysts, and investors.
Environmental
Governance
Social

Extreme Networks Institutional Holders

Institutional Holdings refers to the ownership stake in Extreme Networks that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Extreme Networks' outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Extreme Networks' value.
Shares
Nuveen, Llc2025-06-30
M
William Blair Investment Management, Llc2025-06-30
1.9 M
Morgan Stanley - Brokerage Accounts2025-06-30
1.7 M
Deutsche Bank Ag2025-06-30
1.7 M
Renaissance Technologies Corp2025-06-30
1.5 M
Millennium Management Llc2025-06-30
1.5 M
Northern Trust Corp2025-06-30
1.4 M
Charles Schwab Investment Management Inc2025-06-30
1.4 M
Penn Capital Management Company Llc2025-06-30
1.1 M
Vanguard Group Inc2025-06-30
18.9 M
Blackrock Inc2025-06-30
18.6 M

Extreme Fundamentals

About Extreme Networks Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Extreme Networks's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Extreme Networks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Extreme Networks based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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.