Extreme Networks Stock Analysis

Extreme Stock Analysis Notes

About 93.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 1.23. Extreme Networks recorded a loss per share of 0.96. The entity last dividend was issued on the 29th of October 2010. The firm had 2:1 split on the 25th of August 2000. Extreme Networks, Inc. provides software-driven networking solutions worldwide. Extreme Networks, Inc. was incorporated in 1996 and is headquartered in Morrisville, North Carolina. Extreme Networks operates under Communication Equipment classification in the United States and is traded on NASDAQ Exchange. It employs 2643 people. To learn more about Extreme Networks call Edward III at 408-579-2800 or check out https://www.extremenetworks.com.

Extreme Networks Investment Alerts

Extreme Networks Upcoming and Recent Events

Extreme Largest EPS Surprises

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Extreme Networks Environmental, Social, and Governance (ESG) Scores

Extreme Networks Thematic Classifications

Extreme Stock Institutional Investors

Note, although Extreme Networks' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Extreme Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 2.12 B.

Extreme Profitablity

The company has Profit Margin (PM) of (0.12) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01.

Management Efficiency

Extreme Networks has return on total asset (ROA) of (0.041) % which means that it has lost $0.041 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (1.7725) %, meaning that it created substantial loss on money invested by shareholders. Extreme Networks' management efficiency ratios could be used to measure how well Extreme Networks manages its routine affairs as well as how well it operates its assets and liabilities. As of 11/26/2024, Return On Tangible Assets is likely to grow to -0.13. In addition to that, Return On Capital Employed is likely to drop to -0.06. At this time, Extreme Networks' Other Current Assets are relatively stable compared to the past year. As of 11/26/2024, Other Assets is likely to grow to about 69.5 M, while Non Current Assets Total are likely to drop slightly above 288.7 M.

Technical Drivers

As of the 26th of November, Extreme Networks shows the Downside Deviation of 2.32, mean deviation of 1.79, and Coefficient Of Variation of 1847.43. 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 variance and potential upside to decide if Extreme Networks is priced favorably, providing market reflects its regular price of 16.49 per share. Given that Extreme Networks has jensen alpha of (0.09), 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 Price Movement Analysis

Extreme Networks Insider Trading Activities

Extreme Networks Outstanding Bonds

Extreme Networks Predictive Daily Indicators

Extreme Networks Corporate Filings

Extreme Networks Forecast Models

Extreme Networks' time-series forecasting models are one of many Extreme Networks' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Extreme Networks' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Extreme Networks prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Extreme shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Extreme Networks. By using and applying Extreme Stock analysis, traders can create a robust methodology for identifying Extreme entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Extreme analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Extreme analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Extreme Networks stock analysis indicators help investors evaluate how Extreme Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Extreme Networks shares will generate the highest return on investment. By understating and applying Extreme Networks stock analysis, traders can identify Extreme Networks position entry and exit signals to maximize returns.

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.