Rmi Thomas - Extreme Networks Ex CFO
EXTR Stock | USD 16.12 0.46 2.94% |
Insider
Rmi Thomas is Ex CFO of Extreme Networks
Age | 56 |
Address | 2121 RDU Center Drive, Morrisville, NC, United States, 27560 |
Phone | 408-579-2800 |
Web | https://www.extremenetworks.com |
Extreme Networks Management Efficiency
The company 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 11/22/2024, 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 11/22/2024, 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.Similar Executives
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Management Performance
Return On Equity | -1.77 | ||||
Return On Asset | -0.041 |
Extreme Networks Leadership Team
Elected by the shareholders, the Extreme Networks' board of directors comprises two types of representatives: Extreme Networks inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Extreme. The board's role is to monitor Extreme Networks' management team and ensure that shareholders' interests are well served. Extreme Networks' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Extreme Networks' outside directors are responsible for providing unbiased perspectives on the board's policies.
Joseph Vitalone, Chief Officer | ||
Gina Christopher, Deputy Counsel | ||
Rmi Thomas, Ex CFO | ||
Wesley Durow, Chief Officer | ||
Edward III, CEO President | ||
Kevin Rhodes, Executive CFO | ||
Katayoun Motiey, Administrative Legal | ||
Stanley Kovler, Vice Relations | ||
Norman III, Chief Officer | ||
Katayoun JD, Administrative Legal | ||
Kimberley Basnight, Senior Officer | ||
John Abel, Chief Officer | ||
Monica Kumar, Executive Officer | ||
Nabil Bukhari, Chief Business | ||
John Morrison, Senior EMEA |
Extreme Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Extreme Networks a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
Return On Equity | -1.77 | ||||
Return On Asset | -0.041 | ||||
Profit Margin | (0.12) % | ||||
Operating Margin | (0.01) % | ||||
Current Valuation | 2.12 B | ||||
Shares Outstanding | 132.13 M | ||||
Shares Owned By Insiders | 2.90 % | ||||
Shares Owned By Institutions | 92.91 % | ||||
Number Of Shares Shorted | 6.18 M | ||||
Price To Earning | 57.61 X |
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
0.42 | CDW | CDW Corp | PairCorr |
0.39 | AEHR | Aehr Test Systems | PairCorr |
0.38 | TER | Teradyne | PairCorr |
0.36 | ASYS | Amtech Systems Fiscal Year End 12th of December 2024 | PairCorr |
0.34 | ACLS | Axcelis 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.