Extreme Networks Net Income
| EXTR Stock | USD 15.62 0.18 1.17% |
As of the 10th of February, Extreme Networks shows the Standard Deviation of 1.95, mean deviation of 1.46, and Variance of 3.78. Extreme Networks technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Extreme Networks market risk adjusted performance and treynor ratio to decide if Extreme Networks is priced favorably, providing market reflects its regular price of 15.62 per share. Given that Extreme Networks has information ratio of (0.15), we urge you to verify Extreme Networks's prevailing market performance to make sure the company can sustain itself at a future point.
Extreme Networks Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 1.6934 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Loss | -8.6 M | -9 M | |
| Net Income Applicable To Common Shares | 70.3 M | 73.8 M | |
| Net Loss | -8.6 M | -9 M | |
| Net Loss | (0.05) | (0.05) | |
| Net Loss | (2.01) | (1.91) |
Extreme | Net Income | Build AI portfolio with Extreme Stock |
Evaluating Extreme Networks's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Extreme Networks's fundamental strength.
Latest Extreme Networks' Net Income Growth Pattern
Below is the plot of the Net Income of Extreme Networks over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Extreme Networks financial statement analysis. It represents the amount of money remaining after all of Extreme Networks operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Extreme Networks' Net Loss 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.
| View | Last Reported (7.47 M) | 10 Years Trend |
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Net Income |
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Extreme Net Income Regression Statistics
| Arithmetic Mean | (20,232,497) | |
| Geometric Mean | 22,798,165 | |
| Coefficient Of Variation | (239.90) | |
| Mean Deviation | 35,842,767 | |
| Median | (9,016,402) | |
| Standard Deviation | 48,536,909 | |
| Sample Variance | 2355.8T | |
| Range | 204.9M | |
| R-Value | 0.1 | |
| Mean Square Error | 2488T | |
| R-Squared | 0.01 | |
| Significance | 0.70 | |
| Slope | 955,714 | |
| Total Sum of Squares | 37693.3T |
Extreme Net Income History
Other Fundumenentals of Extreme Networks
| Net Income Applicable To Common Shares | ||
| Net Income From Continuing Ops | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Extreme Networks Net Income component correlations
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.
Click cells to compare fundamentals
Can Communications Equipment industry sustain growth momentum? Does Extreme have expansion opportunities? Factors like these will boost the valuation of Extreme Networks. Projected growth potential of Extreme fundamentally drives upward valuation adjustments. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Extreme Networks demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.055 | Earnings Share 0.06 | Revenue Per Share | Quarterly Revenue Growth 0.138 | Return On Assets |
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. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. 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.
It's important to distinguish between Extreme Networks' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Extreme Networks should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Extreme Networks' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Extreme Networks 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Extreme Networks' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Extreme Networks.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Extreme Networks on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Extreme Networks or generate 0.0% return on investment in Extreme Networks over 90 days. Extreme Networks is related to or competes with Ondas Holdings, Knowles Cor, Diodes Incorporated, ODDITY Tech, Concentrix, Alarm Holdings, and Quantum Computing. Extreme Networks, Inc. provides software-driven networking solutions worldwide More
Extreme Networks Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Extreme Networks' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Extreme Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 10.05 | |||
| Value At Risk | (3.46) | |||
| Potential Upside | 3.05 |
Extreme Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Extreme Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Extreme Networks' standard deviation. In reality, there are many statistical measures that can use Extreme Networks historical prices to predict the future Extreme Networks' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Extreme Networks' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Extreme Networks February 10, 2026 Technical Indicators
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| Overlap Studies | ||
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| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 1.46 | |||
| Coefficient Of Variation | (989.92) | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.78 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 10.05 | |||
| Value At Risk | (3.46) | |||
| Potential Upside | 3.05 | |||
| Skewness | (0.45) | |||
| Kurtosis | 0.7146 |
Extreme Networks Backtested Returns
Extreme Networks secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the company had a -0.14 % return per unit of risk over the last 3 months. Extreme Networks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Extreme Networks' Standard Deviation of 1.95, mean deviation of 1.46, and Variance of 3.78 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.92, which means possible diversification benefits within a given portfolio. Extreme Networks returns are very sensitive to returns on the market. As the market goes up or down, Extreme Networks is expected to follow. At this point, Extreme Networks has a negative expected return of -0.26%. Please make sure to confirm Extreme Networks' treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Extreme Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.11 |
Insignificant predictability
Extreme Networks has insignificant predictability. Overlapping area represents the amount of predictability between Extreme Networks time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Extreme Networks price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Extreme Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
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 |
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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 hold 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, Llc | 2025-06-30 | 2 M | William Blair Investment Management, Llc | 2025-06-30 | 1.9 M | Morgan Stanley - Brokerage Accounts | 2025-06-30 | 1.7 M | Deutsche Bank Ag | 2025-06-30 | 1.7 M | Renaissance Technologies Corp | 2025-06-30 | 1.5 M | Millennium Management Llc | 2025-06-30 | 1.5 M | Northern Trust Corp | 2025-06-30 | 1.4 M | Charles Schwab Investment Management Inc | 2025-06-30 | 1.4 M | Penn Capital Management Company Llc | 2025-06-30 | 1.1 M | Vanguard Group Inc | 2025-06-30 | 18.9 M | Blackrock Inc | 2025-06-30 | 18.6 M |
Extreme Fundamentals
| Return On Equity | 0.12 | ||||
| Return On Asset | 0.0339 | ||||
| Profit Margin | 0.01 % | ||||
| Operating Margin | 0.06 % | ||||
| Current Valuation | 2.07 B | ||||
| Shares Outstanding | 134.27 M | ||||
| Shares Owned By Insiders | 3.18 % | ||||
| Shares Owned By Institutions | 95.66 % | ||||
| Number Of Shares Shorted | 10.11 M | ||||
| Price To Earning | 57.61 X | ||||
| Price To Book | 21.61 X | ||||
| Price To Sales | 1.70 X | ||||
| Revenue | 1.14 B | ||||
| Gross Profit | 747.61 M | ||||
| EBITDA | 39.42 M | ||||
| Net Income | (7.47 M) | ||||
| Cash And Equivalents | 194.52 M | ||||
| Cash Per Share | 1.48 X | ||||
| Total Debt | 223.44 M | ||||
| Debt To Equity | 3.89 % | ||||
| Current Ratio | 0.98 X | ||||
| Book Value Per Share | 0.71 X | ||||
| Cash Flow From Operations | 152.03 M | ||||
| Short Ratio | 8.89 X | ||||
| Earnings Per Share | 0.06 X | ||||
| Price To Earnings To Growth | 0.79 X | ||||
| Target Price | 23.38 | ||||
| Number Of Employees | 2.81 K | ||||
| Beta | 1.67 | ||||
| Market Capitalization | 2.07 B | ||||
| Total Asset | 1.15 B | ||||
| Retained Earnings | (949.43 M) | ||||
| Working Capital | (52.58 M) | ||||
| Current Asset | 228.97 M | ||||
| Current Liabilities | 211.53 M | ||||
| Net Asset | 1.15 B |
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
Moving against Extreme Stock
| 0.88 | FUWAF | Furukawa Electric | PairCorr |
| 0.87 | SECVY | Seche Environnement | PairCorr |
| 0.86 | RILYL | B Riley Financial | PairCorr |
| 0.85 | ET | Evertz Technologies | PairCorr |
| 0.82 | ENA | Enablence Technologies | PairCorr |
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.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.