Extreme Retained Earnings from 2010 to 2025

EXTR Stock

USD 17.32 0.06 0.35%

Extreme Networks Retained Earnings yearly trend continues to be relatively stable with very little volatility. Retained Earnings are likely to drop to about -890.2 M. Retained Earnings is the cumulative amount of net income that Extreme Networks retains for reinvestment in its operations, rather than distributing it to shareholders as dividends. View All Fundamentals

Retained Earnings

First Reported

1999-03-31

Previous Quarter

-942 M

Current Value

-952.5 M

Quarterly Volatility

276.6 M

Dot-com Bubble

Housing Crash

Credit Downgrade

Yuan Drop

Covid

Check Extreme Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Extreme Networks' main balance sheet or income statement drivers, such as Depreciation And Amortization of 30.1 M, Interest Expense of 20.5 M or Total Revenue of 1.3 B, as well as many indicators such as Price To Sales Ratio of 2.82, Dividend Yield of 0.0 or PTB Ratio of 63.45. Extreme financial statements analysis is a perfect complement when working with Extreme Networks Valuation or Volatility modules.

Check out the analysis of Extreme Networks Correlation against competitors.

To learn how to invest in Extreme Stock, please use our How to Invest in Extreme Networks guide.

Latest Extreme Networks' Retained Earnings Growth Pattern

Below is the plot of the Retained Earnings of Extreme Networks over the last few years. It is the cumulative amount of net income that a company retains for reinvestment in its operations, rather than distributing it to shareholders as dividends. Extreme Networks' Retained Earnings historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Extreme Networks' overall financial position and show how it may be relating to other accounts over time.

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Last Reported (941.96 M)

10 Years Trend

Slightly volatile

Compare to Others All Fundamentals

Retained Earnings

Timeline

Extreme Retained Earnings Regression Statistics

	Arithmetic Mean	(777,720,681)
	Geometric Mean	654,349,200
	Coefficient Of Variation	(29.42)
	Mean Deviation	143,394,425
	Median	(828,078,000)
	Standard Deviation	228,809,619
	Sample Variance	52353.8T
	Range	958.4M
	R-Value	(0.72)
	Mean Square Error	27416.2T
	R-Squared	0.51
	Significance	0
	Slope	(34,363,150)
	Total Sum of Squares	785307.6T

Extreme Retained Earnings History

	2025	-890.2 M
	2024	-847.8 M
	2023	-942 M
	2022	-856 M
	2021	-934.1 M
	2020	-978.3 M
	2019	-980.3 M

Other Fundumenentals of Extreme Networks

Retained Earnings Total Equity

Extreme Networks Retained Earnings component correlations

	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		-0.37	0.69	-0.76	0.84	0.69	0.9	0.97	0.64	-0.54	0.8	-0.05	0.75	0.67	0.66	-0.49	-0.89	0.86	0.8	0.74	-0.51	0.81	-0.61	0.66	-0.7	0.69
Total Stockholder Equity	-0.37		-0.65	0.09	-0.06	0.05	-0.57	-0.23	-0.06	0.61	-0.56	-0.01	-0.39	-0.42	-0.71	0.36	0.61	-0.61	-0.61	-0.59	0.32	-0.49	0.5	-0.39	0.61	-0.52
Net Debt	0.69	-0.65		-0.51	0.45	0.44	0.74	0.58	0.48	-0.46	0.56	0.34	0.51	0.89	0.92	-0.23	-0.83	0.71	0.56	0.58	-0.34	0.88	-0.44	0.81	-0.56	0.39
Retained Earnings	-0.76	0.09	-0.51		-0.62	-0.65	-0.72	-0.8	-0.53	0.5	-0.63	0.09	-0.5	-0.6	-0.34	0.24	0.72	-0.63	-0.37	-0.48	0.62	-0.56	0.71	-0.56	0.45	-0.37
Accounts Payable	0.84	-0.06	0.45	-0.62		0.88	0.69	0.89	0.53	-0.49	0.57	0.1	0.58	0.59	0.5	-0.27	-0.7	0.63	0.53	0.49	-0.35	0.62	-0.53	0.65	-0.39	0.41
Net Receivables	0.69	0.05	0.44	-0.65	0.88		0.54	0.79	0.33	-0.48	0.36	0.38	0.34	0.67	0.45	0.07	-0.58	0.42	0.24	0.19	-0.33	0.54	-0.56	0.63	-0.1	0.1
Total Liab	0.9	-0.57	0.74	-0.72	0.69	0.54		0.86	0.61	-0.6	0.95	-0.14	0.74	0.66	0.69	-0.63	-0.93	0.98	0.81	0.9	-0.71	0.78	-0.67	0.72	-0.85	0.79
Total Current Assets	0.97	-0.23	0.58	-0.8	0.89	0.79	0.86		0.59	-0.54	0.77	-0.04	0.69	0.63	0.56	-0.42	-0.83	0.79	0.7	0.66	-0.55	0.72	-0.65	0.63	-0.59	0.62
Short Term Debt	0.64	-0.06	0.48	-0.53	0.53	0.33	0.61	0.59		-0.05	0.56	-0.32	0.59	0.41	0.42	-0.47	-0.63	0.67	0.51	0.66	-0.29	0.65	-0.07	0.63	-0.58	0.5
Short Term Investments	-0.54	0.61	-0.46	0.5	-0.49	-0.48	-0.6	-0.54	-0.05		-0.55	0.0	-0.5	-0.46	-0.5	0.23	0.68	-0.56	-0.5	-0.41	0.36	-0.4	0.91	-0.46	0.39	-0.36
Current Deferred Revenue	0.8	-0.56	0.56	-0.63	0.57	0.36	0.95	0.77	0.56	-0.55		-0.32	0.71	0.41	0.5	-0.77	-0.8	0.96	0.82	0.95	-0.77	0.58	-0.63	0.51	-0.92	0.9
Intangible Assets	-0.05	-0.01	0.34	0.09	0.1	0.38	-0.14	-0.04	-0.32	0.0	-0.32		-0.38	0.44	0.31	0.61	0.07	-0.25	-0.34	-0.4	0.16	0.11	0.03	0.16	0.43	-0.48
Common Stock	0.75	-0.39	0.51	-0.5	0.58	0.34	0.74	0.69	0.59	-0.5	0.71	-0.38		0.41	0.53	-0.78	-0.76	0.77	0.84	0.74	-0.14	0.67	-0.4	0.54	-0.73	0.66
Property Plant Equipment	0.67	-0.42	0.89	-0.6	0.59	0.67	0.66	0.63	0.41	-0.46	0.41	0.44	0.41		0.87	0.0	-0.78	0.57	0.38	0.35	-0.31	0.89	-0.5	0.89	-0.29	0.17
Long Term Debt	0.66	-0.71	0.92	-0.34	0.5	0.45	0.69	0.56	0.42	-0.5	0.5	0.31	0.53	0.87		-0.19	-0.82	0.67	0.6	0.53	-0.21	0.91	-0.42	0.83	-0.47	0.36
Treasury Stock	-0.49	0.36	-0.23	0.24	-0.27	0.07	-0.63	-0.42	-0.47	0.23	-0.77	0.61	-0.78	0.0	-0.19		0.47	-0.72	-0.8	-0.85	0.34	-0.31	0.18	-0.2	0.84	-0.85
Net Tangible Assets	-0.89	0.61	-0.83	0.72	-0.7	-0.58	-0.93	-0.83	-0.63	0.68	-0.8	0.07	-0.76	-0.78	-0.82	0.47		-0.91	-0.76	-0.77	0.5	-0.88	0.69	-0.83	0.74	-0.62
Good Will	0.86	-0.61	0.71	-0.63	0.63	0.42	0.98	0.79	0.67	-0.56	0.96	-0.25	0.77	0.57	0.67	-0.72	-0.91		0.85	0.96	-0.66	0.75	-0.6	0.68	-0.92	0.85
Capital Surpluse	0.8	-0.61	0.56	-0.37	0.53	0.24	0.81	0.7	0.51	-0.5	0.82	-0.34	0.84	0.38	0.6	-0.8	-0.76	0.85		0.86	-0.36	0.67	-0.43	0.46	-0.84	0.89
Deferred Long Term Liab	0.74	-0.59	0.58	-0.48	0.49	0.19	0.9	0.66	0.66	-0.41	0.95	-0.4	0.74	0.35	0.53	-0.85	-0.77	0.96	0.86		-0.62	0.6	-0.43	0.51	-0.97	0.92
Long Term Investments	-0.51	0.32	-0.34	0.62	-0.35	-0.33	-0.71	-0.55	-0.29	0.36	-0.77	0.16	-0.14	-0.31	-0.21	0.34	0.5	-0.66	-0.36	-0.62		-0.28	0.61	-0.34	0.59	-0.62
Long Term Debt Total	0.81	-0.49	0.88	-0.56	0.62	0.54	0.78	0.72	0.65	-0.4	0.58	0.11	0.67	0.89	0.91	-0.31	-0.88	0.75	0.67	0.6	-0.28		-0.4	0.88	-0.55	0.45
Short Long Term Debt	-0.61	0.5	-0.44	0.71	-0.53	-0.56	-0.67	-0.65	-0.07	0.91	-0.63	0.03	-0.4	-0.5	-0.42	0.18	0.69	-0.6	-0.43	-0.43	0.61	-0.4		-0.44	0.42	-0.4
Net Invested Capital	0.66	-0.39	0.81	-0.56	0.65	0.63	0.72	0.63	0.63	-0.46	0.51	0.16	0.54	0.89	0.83	-0.2	-0.83	0.68	0.46	0.51	-0.34	0.88	-0.44		-0.41	0.27
Net Working Capital	-0.7	0.61	-0.56	0.45	-0.39	-0.1	-0.85	-0.59	-0.58	0.39	-0.92	0.43	-0.73	-0.29	-0.47	0.84	0.74	-0.92	-0.84	-0.97	0.59	-0.55	0.42	-0.41		-0.92
Capital Stock	0.69	-0.52	0.39	-0.37	0.41	0.1	0.79	0.62	0.5	-0.36	0.9	-0.48	0.66	0.17	0.36	-0.85	-0.62	0.85	0.89	0.92	-0.62	0.45	-0.4	0.27	-0.92

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About Extreme Networks Financial Statements

Extreme Networks shareholders use historical fundamental indicators, such as Retained Earnings, to determine how well the company is positioned to perform in the future. Although Extreme Networks investors may analyze each financial statement separately, they are all interrelated. The changes in Extreme Networks' assets and liabilities, for example, are also reflected in the revenues and expenses on on Extreme Networks' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.

	Last Reported	Projected for Next Year
Retained Earnings	-847.8 M	-890.2 M
Retained Earnings Total Equity	-770.4 M	-808.9 M

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

0.89	KN	Knowles Cor	Pair Corr
0.74	UI	Ubiquiti Networks Tech Boost	Pair Corr

Moving against Extreme Stock

0.76	VISL	Vislink Technologies	Pair Corr
0.69	DM	Desktop Metal	Pair Corr
0.48	DSWL	Deswell Industries	Pair Corr
0.4	FN	Fabrinet	Pair Corr
0.39	VSAT	ViaSat Inc	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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