Extreme Networks Company Insiders
EXTR Stock | USD 16.49 0.46 2.87% |
Extreme Networks' insiders are aggressively selling. The analysis of insiders' sentiment of trading Extreme Networks stock suggests that virtually all insiders are panicking at this time. Extreme Networks employs about 2.7 K people. The company is managed by 15 executives with a total tenure of roughly 6198 years, averaging almost 413.0 years of service per executive, having 177.07 employees per reported executive.
Extreme Networks' Insider Buying Vs Selling
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Selling | Buying |
Latest Trades
2024-11-01 | Edward Meyercord | Disposed 35725 @ 14.96 | View | ||
2024-10-30 | Raj Khanna | Disposed 10000 @ 16.53 | View | ||
2024-10-01 | Edward Meyercord | Disposed 35725 @ 14.75 | View | ||
2024-09-03 | Edward Meyercord | Disposed 35725 @ 15.02 | View | ||
2024-02-01 | Edward Meyercord | Disposed 28443 @ 13.24 | View | ||
2023-12-01 | Edward Meyercord | Disposed 28443 @ 16.32 | View |
Monitoring Extreme Networks' insider sentiment can offer insights into its future performance, as insiders often have access to more information about their company's operations, financial health, and upcoming initiatives than the general public. However, it's essential to note that insider trading is regulated by securities laws, and insiders are required to disclose their trades publicly to ensure transparency and prevent unfair advantages based on non-public information.
Extreme |
Extreme Networks' Workforce Through the Years
Please note that employee historical analysis has become an increasingly important factor for investors assessing the risk associated with Extreme Networks' future performance. Based on our forecasts, it is anticipated that Extreme will maintain a workforce of slightly above 2660 employees by December 2024.Extreme Networks Management Team Effectiveness
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 11/26/2024, 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.As of 11/26/2024, Net Income Applicable To Common Shares is likely to grow to about 73.8 M, while Common Stock Shares Outstanding is likely to drop slightly above 115.2 M.
Extreme Networks Workforce Comparison
Extreme Networks is rated # 4 in number of employees category among its peers. The total workforce of Information Technology industry is currently estimated at about 26,071. Extreme Networks retains roughly 2,656 in number of employees claiming about 10% of equities under Information Technology industry.
Extreme Networks Profit Margins
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.Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
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Gross Profit Margin | 0.42 | 0.5647 |
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Extreme Networks Insider Trading History
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Extreme Networks insiders, such as employees or executives, is commonly permitted as long as it does not rely on Extreme Networks' material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases, Extreme Networks insiders must file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Buy/Sell Ratio | # Purchases Trades | # Sales Trades | Total Shares Purchased | Total Shares Sold | |
---|---|---|---|---|---|
2024-12-01 | 0.4 | 2 | 5 | 71,450 | 152,900 |
2024-09-01 | 0.7308 | 19 | 26 | 1,666,784 | 711,513 |
2024-06-01 | 0.4545 | 5 | 11 | 121,596 | 222,335 |
2024-03-01 | 0.4615 | 6 | 13 | 131,111 | 217,900 |
2023-12-01 | 0.95 | 19 | 20 | 330,007 | 361,211 |
2023-09-01 | 0.8261 | 19 | 23 | 1,882,533 | 893,154 |
2023-06-01 | 0.4118 | 7 | 17 | 288,705 | 458,708 |
2023-03-01 | 0.4 | 8 | 20 | 118,192 | 209,720 |
2022-12-01 | 0.7037 | 19 | 27 | 284,805 | 510,392 |
2022-09-01 | 0.56 | 14 | 25 | 1,314,968 | 755,132 |
2022-06-01 | 0.2667 | 4 | 15 | 112,596 | 259,169 |
2022-03-01 | 0.4 | 8 | 20 | 182,693 | 361,371 |
2021-12-01 | 0.7027 | 26 | 37 | 851,633 | 1,095,493 |
2021-09-01 | 0.6552 | 19 | 29 | 1,360,647 | 1,139,157 |
2021-06-01 | 0.32 | 8 | 25 | 251,105 | 736,290 |
2021-03-01 | 0.5 | 12 | 24 | 351,106 | 705,379 |
2020-12-01 | 0.9444 | 17 | 18 | 511,282 | 375,323 |
2020-09-01 | 0.7273 | 8 | 11 | 1,067,425 | 334,053 |
2020-06-01 | 1.8333 | 11 | 6 | 280,785 | 79,385 |
2020-03-01 | 0.6667 | 4 | 6 | 78,584 | 74,917 |
2019-12-01 | 1.0 | 18 | 18 | 460,918 | 356,255 |
2019-09-01 | 0.6522 | 15 | 23 | 1,388,329 | 399,989 |
2019-06-01 | 0.5 | 9 | 18 | 208,793 | 237,623 |
2019-03-01 | 0.5 | 7 | 14 | 81,296 | 107,566 |
2018-12-01 | 0.88 | 22 | 25 | 672,207 | 308,131 |
2018-09-01 | 0.875 | 21 | 24 | 1,113,487 | 290,591 |
2018-06-01 | 1.0 | 15 | 15 | 253,364 | 181,735 |
2018-03-01 | 0.5625 | 9 | 16 | 117,672 | 333,912 |
2017-12-01 | 0.7727 | 17 | 22 | 300,663 | 299,383 |
2017-09-01 | 0.8 | 12 | 15 | 521,942 | 498,639 |
2017-06-01 | 0.6316 | 12 | 19 | 238,749 | 437,701 |
2016-12-01 | 0.7692 | 10 | 13 | 227,548 | 258,270 |
2016-09-01 | 1.1429 | 8 | 7 | 743,865 | 117,440 |
2016-06-01 | 1.0 | 2 | 2 | 200,000 | 45,278 |
2016-03-01 | 0.7778 | 7 | 9 | 20,901 | 36,563 |
2015-12-01 | 0.4615 | 6 | 13 | 438,310 | 100,026 |
2015-09-01 | 3.0 | 24 | 8 | 940,000 | 104,780 |
2015-06-01 | 0.9286 | 13 | 14 | 1,634,620 | 328,118 |
2015-03-01 | 0.5556 | 5 | 9 | 128,159 | 135,684 |
2014-12-01 | 3.0 | 9 | 3 | 623,603 | 664,717 |
2014-09-01 | 0.4286 | 3 | 7 | 395,000 | 36,118 |
2013-12-01 | 3.0 | 9 | 3 | 122,550 | 6,500 |
2013-09-01 | 2.0 | 4 | 2 | 770,000 | 109,116 |
2013-06-01 | 0.6 | 3 | 5 | 1,820,504 | 45,766 |
2012-12-01 | 1.5714 | 33 | 21 | 1,383,203 | 281,355 |
2012-09-01 | 0.7727 | 17 | 22 | 609,940 | 271,690 |
2012-06-01 | 3.75 | 15 | 4 | 163,333 | 17,989 |
2011-12-01 | 0.2 | 3 | 15 | 85,000 | 335,666 |
2011-09-01 | 1.9231 | 25 | 13 | 1,605,000 | 62,157 |
2011-06-01 | 0.7778 | 7 | 9 | 196,333 | 169,536 |
2010-12-01 | 2.8571 | 20 | 7 | 1,632,553 | 897,458 |
2010-09-01 | 0.5417 | 13 | 24 | 360,956 | 448,377 |
2010-06-01 | 1.0 | 1 | 1 | 6,265 | 0.00 |
2010-03-01 | 14.0 | 14 | 1 | 623,825 | 0.00 |
2009-12-01 | 7.0 | 21 | 3 | 643,333 | 0.00 |
2009-09-01 | 0.6667 | 2 | 3 | 33,333 | 21,546 |
2008-12-01 | 15.0 | 15 | 1 | 470,000 | 2,750 |
2008-09-01 | 1.6923 | 22 | 13 | 718,287 | 412,690 |
2008-06-01 | 1.0 | 1 | 1 | 125,000 | 0.00 |
2007-12-01 | 4.25 | 17 | 4 | 1,120,833 | 31,000 |
2007-09-01 | 8.0 | 16 | 2 | 1,473,000 | 13,405 |
2006-09-01 | 0.7143 | 5 | 7 | 410,000 | 907,299 |
2005-12-01 | 0.1111 | 1 | 9 | 40,000 | 130,000 |
2005-09-01 | 1.6 | 8 | 5 | 980,000 | 122,500 |
2004-12-01 | 5.0 | 5 | 1 | 150,000 | 15,000 |
2004-09-01 | 1.25 | 5 | 4 | 1,325,000 | 33,000 |
2004-06-01 | 1.0 | 1 | 1 | 50,000 | 0.00 |
2004-03-01 | 0.5 | 10 | 20 | 2,040,000 | 143,000 |
2003-12-01 | 0.2353 | 8 | 34 | 440,000 | 839,800 |
Extreme Networks Notable Stakeholders
An Extreme Networks stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Extreme Networks often face trade-offs trying to please all of them. Extreme Networks' stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Extreme Networks' stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
Edward III | CEO President | Profile | |
Kevin Rhodes | Executive CFO | Profile | |
Joseph Vitalone | Chief Officer | Profile | |
Gina Christopher | Deputy Counsel | Profile | |
Rmi Thomas | Ex CFO | Profile | |
Wesley Durow | Chief Officer | Profile | |
Katayoun Motiey | Administrative Legal | Profile | |
Stanley Kovler | Vice Relations | Profile | |
Norman III | Chief Officer | Profile | |
Katayoun JD | Administrative Legal | Profile | |
Kimberley Basnight | Senior Officer | Profile | |
John Abel | Chief Officer | Profile | |
Monica Kumar | Executive Officer | Profile | |
Nabil Bukhari | Chief Business | Profile | |
John Morrison | Senior EMEA | Profile |
About Extreme Networks Management Performance
The success or failure of an entity such as Extreme Networks often depends on how effective the management is. Extreme Networks management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of Extreme management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the Extreme management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.
Last Reported | Projected for Next Year | ||
Return On Tangible Assets | (0.13) | (0.13) | |
Return On Capital Employed | (0.06) | (0.06) | |
Return On Assets | (0.08) | (0.09) | |
Return On Equity | (3.40) | (3.23) |
Extreme Networks Workforce Analysis
Traditionally, organizations such as Extreme Networks use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare Extreme Networks within its industry.Extreme Networks Manpower Efficiency
Return on Extreme Networks Manpower
Revenue Per Employee | 420.6K | |
Revenue Per Executive | 74.5M | |
Net Loss Per Employee | 32.4K | |
Net Loss Per Executive | 5.7M |
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.