Extreme Networks Stock Number Of Employees

EXTR Stock

USD 16.94 0.45 2.73%

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.

Short Long Term Debt Total Total Assets

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Extreme Networks Company Number Of Employees Analysis

Extreme Networks' Number of Employees shows the total number of permanent full time and part time employees working for a given company and processed through its payroll.

Number of Employees

Full Time

+

Part Time

More About Number Of Employees | All Equity Analysis

Current Extreme Networks Number Of Employees

2.66 K

Most of Extreme Networks' fundamental indicators, such as Number Of Employees, 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 Number Of Employees 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 Number Of Employees. 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.

	Total Assets	Total Stockholder Equity	Net Debt	Retained Earnings	Accounts Payable	Net Receivables	Total Liab	Total Current Assets	Short Term Debt	Short Term Investments	Current Deferred Revenue	Intangible Assets	Common Stock	Property Plant Equipment	Long Term Debt	Treasury Stock	Net Tangible Assets	Good Will	Capital Surpluse	Deferred Long Term Liab	Long Term Investments	Long Term Debt Total	Short Long Term Debt	Net Invested Capital	Net Working Capital	Capital Stock
Total Assets		-0.29	0.71	-0.77	0.87	0.77	0.92	0.97	0.67	-0.53	0.82	0.05	0.71	0.75	0.68	-0.4	-0.9	0.95	0.74	0.7	-0.5	0.83	-0.6	0.75	-0.63	0.65
Total Stockholder Equity	-0.29		-0.64	0.1	-0.03	0.04	-0.51	-0.15	-0.04	0.6	-0.49	-0.09	-0.4	-0.46	-0.72	0.28	0.59	-0.49	-0.56	-0.54	0.33	-0.49	0.47	-0.43	0.56	-0.46
Net Debt	0.71	-0.64		-0.51	0.45	0.46	0.76	0.57	0.47	-0.44	0.57	0.4	0.5	0.91	0.92	-0.19	-0.83	0.74	0.54	0.55	-0.31	0.88	-0.42	0.83	-0.54	0.41
Retained Earnings	-0.77	0.1	-0.51		-0.59	-0.63	-0.78	-0.8	-0.53	0.51	-0.73	0.1	-0.52	-0.61	-0.33	0.28	0.73	-0.66	-0.41	-0.54	0.71	-0.56	0.72	-0.58	0.51	-0.49
Accounts Payable	0.87	-0.03	0.45	-0.59		0.9	0.74	0.91	0.52	-0.48	0.63	0.13	0.53	0.59	0.49	-0.24	-0.7	0.76	0.5	0.47	-0.32	0.61	-0.52	0.67	-0.37	0.47
Net Receivables	0.77	0.04	0.46	-0.63	0.9		0.63	0.86	0.33	-0.5	0.47	0.38	0.32	0.67	0.46	0.06	-0.61	0.58	0.25	0.21	-0.31	0.55	-0.58	0.63	-0.13	0.2
Total Liab	0.92	-0.51	0.76	-0.78	0.74	0.63		0.88	0.63	-0.61	0.95	-0.03	0.78	0.75	0.73	-0.55	-0.95	0.93	0.77	0.86	-0.68	0.82	-0.66	0.81	-0.8	0.8
Total Current Assets	0.97	-0.15	0.57	-0.8	0.91	0.86	0.88		0.6	-0.53	0.79	0.05	0.64	0.68	0.56	-0.33	-0.83	0.86	0.63	0.61	-0.53	0.73	-0.63	0.7	-0.52	0.58
Short Term Debt	0.67	-0.04	0.47	-0.53	0.52	0.33	0.63	0.6		-0.04	0.6	-0.31	0.59	0.42	0.42	-0.47	-0.63	0.71	0.49	0.67	-0.27	0.64	-0.05	0.64	-0.6	0.63
Short Term Investments	-0.53	0.6	-0.44	0.51	-0.48	-0.5	-0.61	-0.53	-0.04		-0.57	-0.04	-0.5	-0.48	-0.49	0.2	0.67	-0.56	-0.49	-0.39	0.36	-0.39	0.91	-0.47	0.37	-0.38
Current Deferred Revenue	0.82	-0.49	0.57	-0.73	0.63	0.47	0.95	0.79	0.6	-0.57		-0.22	0.8	0.51	0.53	-0.7	-0.84	0.87	0.8	0.94	-0.78	0.63	-0.63	0.62	-0.9	0.92
Intangible Assets	0.05	-0.09	0.4	0.1	0.13	0.38	-0.03	0.05	-0.31	-0.04	-0.22		-0.39	0.44	0.35	0.57	0.02	-0.07	-0.29	-0.34	0.16	0.14	-0.02	0.15	0.37	-0.44
Common Stock	0.71	-0.4	0.5	-0.52	0.53	0.32	0.78	0.64	0.59	-0.5	0.8	-0.39		0.45	0.51	-0.85	-0.75	0.79	0.9	0.82	-0.34	0.67	-0.4	0.59	-0.79	0.82
Property Plant Equipment	0.75	-0.46	0.91	-0.61	0.59	0.67	0.75	0.68	0.42	-0.48	0.51	0.44	0.45		0.88	-0.03	-0.82	0.69	0.43	0.4	-0.31	0.9	-0.52	0.89	-0.36	0.28
Long Term Debt	0.68	-0.72	0.92	-0.33	0.49	0.46	0.73	0.56	0.42	-0.49	0.53	0.35	0.51	0.88		-0.16	-0.83	0.74	0.58	0.52	-0.18	0.9	-0.4	0.85	-0.47	0.4
Treasury Stock	-0.4	0.28	-0.19	0.28	-0.24	0.06	-0.55	-0.33	-0.47	0.2	-0.7	0.57	-0.85	-0.03	-0.16		0.42	-0.54	-0.78	-0.82	0.36	-0.3	0.12	-0.24	0.82	-0.86
Net Tangible Assets	-0.9	0.59	-0.83	0.73	-0.7	-0.61	-0.95	-0.83	-0.63	0.67	-0.84	0.02	-0.75	-0.82	-0.83	0.42		-0.93	-0.75	-0.76	0.52	-0.89	0.68	-0.88	0.72	-0.69
Good Will	0.95	-0.49	0.74	-0.66	0.76	0.58	0.93	0.86	0.71	-0.56	0.87	-0.07	0.79	0.69	0.74	-0.54	-0.93		0.85	0.83	-0.49	0.84	-0.55	0.75	-0.78	0.78
Capital Surpluse	0.74	-0.56	0.54	-0.41	0.5	0.25	0.77	0.63	0.49	-0.49	0.8	-0.29	0.9	0.43	0.58	-0.78	-0.75	0.85		0.84	-0.38	0.68	-0.4	0.47	-0.83	0.83
Deferred Long Term Liab	0.7	-0.54	0.55	-0.54	0.47	0.21	0.86	0.61	0.67	-0.39	0.94	-0.34	0.82	0.4	0.52	-0.82	-0.76	0.83	0.84		-0.66	0.61	-0.4	0.57	-0.97	0.98
Long Term Investments	-0.5	0.33	-0.31	0.71	-0.32	-0.31	-0.68	-0.53	-0.27	0.36	-0.78	0.16	-0.34	-0.31	-0.18	0.36	0.52	-0.49	-0.38	-0.66		-0.29	0.62	-0.3	0.67	-0.66
Long Term Debt Total	0.83	-0.49	0.88	-0.56	0.61	0.55	0.82	0.73	0.64	-0.39	0.63	0.14	0.67	0.9	0.9	-0.3	-0.89	0.84	0.68	0.61	-0.29		-0.4	0.89	-0.57	0.51
Short Long Term Debt	-0.6	0.47	-0.42	0.72	-0.52	-0.58	-0.66	-0.63	-0.05	0.91	-0.63	-0.02	-0.4	-0.52	-0.4	0.12	0.68	-0.55	-0.4	-0.4	0.62	-0.4		-0.47	0.38	-0.38
Net Invested Capital	0.75	-0.43	0.83	-0.58	0.67	0.63	0.81	0.7	0.64	-0.47	0.62	0.15	0.59	0.89	0.85	-0.24	-0.88	0.75	0.47	0.57	-0.3	0.89	-0.47		-0.5	0.47
Net Working Capital	-0.63	0.56	-0.54	0.51	-0.37	-0.13	-0.8	-0.52	-0.6	0.37	-0.9	0.37	-0.79	-0.36	-0.47	0.82	0.72	-0.78	-0.83	-0.97	0.67	-0.57	0.38	-0.5		-0.97
Capital Stock	0.65	-0.46	0.41	-0.49	0.47	0.2	0.8	0.58	0.63	-0.38	0.92	-0.44	0.82	0.28	0.4	-0.86	-0.69	0.78	0.83	0.98	-0.66	0.51	-0.38	0.47	-0.97

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Employee typically refers to an individual working under a contract of employment, whether oral or written, express or implied, and has recognized his or her rights and duties. Most officers of corporations are included as employees and contractors are generally excluded.

Competition

Predict Extreme Networks

Based on the recorded statements, Extreme Networks is currently employing 2.66 K people. This is 69.48% lower than that of the Communications Equipment sector and 63.89% lower than that of the Information Technology industry. The number of employees for all United States stocks is 85.9% higher than that of the company.

Extreme Number Of Employees 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 Number Of Employees 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 number of employees 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 Fundamentals

	Return On Equity	-1.77
	Return On Asset	-0.041
	Profit Margin	(0.12) %
	Operating Margin	(0.01) %
	Current Valuation	2.25 B
	Shares Outstanding	132.13 M
	Shares Owned By Insiders	2.90 %
	Shares Owned By Institutions	93.04 %
	Number Of Shares Shorted	4.95 M
	Price To Earning	57.61 X
	Price To Book	68.41 X
	Price To Sales	2.10 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	3.78 X
	Earnings Per Share	(0.93) X
	Price To Earnings To Growth	1.30 X
	Target Price	19.33
	Number Of Employees	2.66 K
	Beta	1.77
	Market Capitalization	2.17 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 against Extreme Stock

0.53	MCHP	Microchip Technology	Pair Corr
0.48	ARW	Arrow Electronics	Pair Corr
0.44	TER	Teradyne	Pair Corr

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.

Pair Correlation Correlation Matching

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.

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