Extreme Networks Stock Total Debt
| EXTR Stock | USD 16.49 0.46 2.87% |
Extreme Networks fundamentals help investors to digest information that contributes to Extreme Networks' financial success or failures. It also enables traders to predict the movement of Extreme Stock. The fundamental analysis module provides a way to measure Extreme Networks' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Extreme Networks stock.
As of 11/25/2024, Total Debt To Capitalization is likely to grow to 0.93. Extreme | Total Debt |
Extreme Networks Company Total Debt Analysis
Extreme Networks' Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Current Extreme Networks Total Debt | 239.6 M |
Most of Extreme Networks' fundamental indicators, such as Total Debt, 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 Total Debt 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 Total Debt. 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.
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Extreme Total Debt Historical Pattern
Today, most investors in Extreme Networks Stock are looking for potential investment opportunities by analyzing not only static indicators but also various Extreme Networks' growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's total debt growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of Extreme Networks total debt as a starting point in their analysis.
Extreme Networks Total Debt |
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In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
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Extreme Short Long Term Debt Total
Short Long Term Debt Total |
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Based on the latest financial disclosure, Extreme Networks has a Total Debt of 239.6 M. This is 85.13% lower than that of the Communications Equipment sector and 84.81% lower than that of the Information Technology industry. The total debt for all United States stocks is 95.49% higher than that of the company.
Extreme Total Debt 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 Total Debt 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 total debt 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 | Voss Capital Llc | 2024-09-30 | 2.7 M | American Century Companies Inc | 2024-09-30 | 2.5 M | Trigran Investments Inc | 2024-09-30 | 2.3 M | Dimensional Fund Advisors, Inc. | 2024-09-30 | 2.1 M | William Blair Investment Management, Llc | 2024-09-30 | 2.1 M | Renaissance Technologies Corp | 2024-09-30 | 1.5 M | Federated Hermes Inc | 2024-09-30 | 1.4 M | Northern Trust Corp | 2024-09-30 | 1.3 M | Millennium Management Llc | 2024-06-30 | 1.2 M | Blackrock Inc | 2024-06-30 | 18 M | Vanguard Group Inc | 2024-09-30 | 17.2 M |
Extreme Fundamentals
| Return On Equity | -1.77 | ||||
| Return On Asset | -0.041 | ||||
| Profit Margin | (0.12) % | ||||
| Operating Margin | (0.01) % | ||||
| Current Valuation | 2.19 B | ||||
| Shares Outstanding | 132.13 M | ||||
| Shares Owned By Insiders | 2.90 % | ||||
| Shares Owned By Institutions | 93.04 % | ||||
| Number Of Shares Shorted | 6.18 M | ||||
| Price To Earning | 57.61 X | ||||
| Price To Book | 64.73 X | ||||
| Price To Sales | 2.05 X | ||||
| Revenue | 1.12 B | ||||
| Gross Profit | 629.94 M | ||||
| EBITDA | (19.61 M) | ||||
| Net Income | (85.96 M) | ||||
| Cash And Equivalents | 194.52 M | ||||
| Cash Per Share | 1.48 X | ||||
| Total Debt | 239.6 M | ||||
| Debt To Equity | 3.89 % | ||||
| Current Ratio | 0.98 X | ||||
| Book Value Per Share | 0.25 X | ||||
| Cash Flow From Operations | 55.49 M | ||||
| Short Ratio | 5.96 X | ||||
| Earnings Per Share | (0.96) X | ||||
| Price To Earnings To Growth | 1.23 X | ||||
| Target Price | 19.33 | ||||
| Number Of Employees | 2.66 K | ||||
| Beta | 1.77 | ||||
| Market Capitalization | 2.12 B | ||||
| Total Asset | 1.04 B | ||||
| Retained Earnings | (941.96 M) | ||||
| Working Capital | (50.66 M) | ||||
| Current Asset | 228.97 M | ||||
| Current Liabilities | 211.53 M | ||||
| Net Asset | 1.04 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
| 0.61 | CSCO | Cisco Systems Aggressive Push | PairCorr |
Moving against Extreme Stock
| 0.44 | CDW | CDW Corp | PairCorr |
| 0.37 | TER | Teradyne | PairCorr |
| 0.37 | ACLS | Axcelis Technologies | PairCorr |
| 0.37 | AEHR | Aehr Test Systems | PairCorr |
| 0.35 | ASYS | Amtech Systems Fiscal Year End 12th of December 2024 | 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.