Extreme Capital Surpluse vs Long Term Debt Total Analysis

EXTR Stock

USD 16.12 0.46 2.94%

Extreme Networks financial indicator trend analysis is much more than just examining Extreme Networks latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Extreme Networks is a good investment. Please check the relationship between Extreme Networks Capital Surpluse and its Long Term Debt Total accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Extreme Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.

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

Capital Surpluse vs Long Term Debt Total

Capital Surpluse vs Long Term Debt Total Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Extreme Networks Capital Surpluse account and Long Term Debt Total. At this time, the significance of the direction appears to have strong relationship.

The correlation between Extreme Networks' Capital Surpluse and Long Term Debt Total is 0.68. Overlapping area represents the amount of variation of Capital Surpluse that can explain the historical movement of Long Term Debt Total in the same time period over historical financial statements of Extreme Networks, assuming nothing else is changed. The correlation between historical values of Extreme Networks' Capital Surpluse and Long Term Debt Total is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Capital Surpluse of Extreme Networks are associated (or correlated) with its Long Term Debt Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Long Term Debt Total has no effect on the direction of Capital Surpluse i.e., Extreme Networks' Capital Surpluse and Long Term Debt Total go up and down completely randomly.

Correlation Coefficient

0.68

Relationship Direction	Positive
Relationship Strength	Significant

View All Relationships

Capital Surpluse

Long Term Debt Total

Most indicators from Extreme Networks' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Extreme Networks current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Extreme Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.

To learn how to invest in Extreme Stock, please use our How to Invest in Extreme Networks guide.As of 11/22/2024, Issuance Of Capital Stock is likely to grow to about 6.6 M, while Selling General Administrative is likely to drop slightly above 55.7 M.

	2021	2022	2023	2024 (projected)
Gross Profit	629.9M	754.7M	630.8M	325.1M
Total Revenue	1.1B	1.3B	1.1B	601.8M

Gross Profit Total Revenue

Extreme Networks fundamental ratios Correlations

	Total Assets	Short Long Term Debt Total	Other Current Liab	Total Current Liabilities	Total Stockholder Equity	Property Plant And Equipment Net	Net Debt	Retained Earnings	Accounts Payable	Cash	Non Current Assets Total	Non Currrent Assets Other	Cash And Short Term Investments	Net Receivables	Common Stock Shares Outstanding	Non Current Liabilities Total	Inventory	Other Current Assets	Other Stockholder Equity	Total Liab	Property Plant And Equipment Gross	Total Current Assets	Short Term Debt	Short Term Investments	Other Liab	Current Deferred Revenue
Total Assets		0.85	0.85	0.91	-0.29	0.95	0.71	-0.77	0.87	0.92	0.98	0.93	0.88	0.77	0.83	0.9	0.53	0.77	0.72	0.92	0.56	0.97	0.67	-0.53	0.79	0.82
Short Long Term Debt Total	0.85		0.63	0.7	-0.37	0.91	0.87	-0.67	0.61	0.84	0.89	0.71	0.83	0.55	0.66	0.86	0.27	0.68	0.59	0.81	0.44	0.75	0.71	-0.35	0.6	0.62
Other Current Liab	0.85	0.63		0.91	-0.42	0.85	0.64	-0.76	0.78	0.76	0.79	0.89	0.72	0.82	0.73	0.85	0.69	0.62	0.63	0.89	0.64	0.89	0.31	-0.73	0.8	0.81
Total Current Liabilities	0.91	0.7	0.91		-0.39	0.85	0.63	-0.8	0.79	0.82	0.88	0.95	0.84	0.68	0.8	0.93	0.76	0.82	0.65	0.98	0.76	0.91	0.62	-0.61	0.94	0.96
Total Stockholder Equity	-0.29	-0.37	-0.42	-0.39		-0.39	-0.64	0.1	-0.03	-0.23	-0.38	-0.46	-0.16	0.04	0.06	-0.59	-0.38	-0.4	0.2	-0.51	-0.56	-0.15	-0.04	0.6	-0.51	-0.49
Property Plant And Equipment Net	0.95	0.91	0.85	0.85	-0.39		0.84	-0.76	0.77	0.85	0.95	0.89	0.81	0.73	0.76	0.92	0.5	0.67	0.68	0.9	0.58	0.89	0.55	-0.53	0.74	0.74
Net Debt	0.71	0.87	0.64	0.63	-0.64	0.84		-0.51	0.45	0.59	0.78	0.63	0.56	0.46	0.41	0.84	0.33	0.58	0.34	0.76	0.5	0.57	0.47	-0.44	0.55	0.57
Retained Earnings	-0.77	-0.67	-0.76	-0.8	0.1	-0.76	-0.51		-0.59	-0.75	-0.72	-0.75	-0.79	-0.63	-0.96	-0.73	-0.61	-0.58	-0.94	-0.78	-0.59	-0.8	-0.53	0.51	-0.65	-0.73
Accounts Payable	0.87	0.61	0.78	0.79	-0.03	0.77	0.45	-0.59		0.8	0.8	0.76	0.74	0.9	0.71	0.67	0.36	0.62	0.62	0.74	0.28	0.91	0.52	-0.48	0.63	0.63
Cash	0.92	0.84	0.76	0.82	-0.23	0.85	0.59	-0.75	0.8		0.88	0.82	0.96	0.73	0.8	0.81	0.33	0.72	0.72	0.83	0.38	0.92	0.7	-0.51	0.67	0.71
Non Current Assets Total	0.98	0.89	0.79	0.88	-0.38	0.95	0.78	-0.72	0.8	0.88		0.91	0.84	0.67	0.76	0.92	0.51	0.78	0.65	0.92	0.58	0.91	0.69	-0.51	0.79	0.81
Non Currrent Assets Other	0.93	0.71	0.89	0.95	-0.46	0.89	0.63	-0.75	0.76	0.82	0.91		0.79	0.63	0.76	0.92	0.74	0.75	0.62	0.95	0.76	0.9	0.52	-0.65	0.92	0.92
Cash And Short Term Investments	0.88	0.83	0.72	0.84	-0.16	0.81	0.56	-0.79	0.74	0.96	0.84	0.79		0.66	0.83	0.82	0.4	0.74	0.74	0.84	0.47	0.89	0.78	-0.36	0.71	0.75
Net Receivables	0.77	0.55	0.82	0.68	0.04	0.73	0.46	-0.63	0.9	0.73	0.67	0.63	0.66		0.7	0.57	0.26	0.48	0.67	0.63	0.17	0.86	0.33	-0.5	0.45	0.47
Common Stock Shares Outstanding	0.83	0.66	0.73	0.8	0.06	0.76	0.41	-0.96	0.71	0.8	0.76	0.76	0.83	0.7		0.68	0.55	0.59	0.97	0.75	0.49	0.87	0.59	-0.43	0.64	0.7
Non Current Liabilities Total	0.9	0.86	0.85	0.93	-0.59	0.92	0.84	-0.73	0.67	0.81	0.92	0.92	0.82	0.57	0.68		0.66	0.81	0.53	0.99	0.77	0.83	0.62	-0.58	0.9	0.9
Inventory	0.53	0.27	0.69	0.76	-0.38	0.5	0.33	-0.61	0.36	0.33	0.51	0.74	0.4	0.26	0.55	0.66		0.47	0.41	0.72	0.92	0.54	0.2	-0.44	0.85	0.85
Other Current Assets	0.77	0.68	0.62	0.82	-0.4	0.67	0.58	-0.58	0.62	0.72	0.78	0.75	0.74	0.48	0.59	0.81	0.47		0.43	0.83	0.63	0.71	0.77	-0.47	0.81	0.82
Other Stockholder Equity	0.72	0.59	0.63	0.65	0.2	0.68	0.34	-0.94	0.62	0.72	0.65	0.62	0.74	0.67	0.97	0.53	0.41	0.43		0.6	0.34	0.78	0.5	-0.34	0.45	0.53
Total Liab	0.92	0.81	0.89	0.98	-0.51	0.9	0.76	-0.78	0.74	0.83	0.92	0.95	0.84	0.63	0.75	0.99	0.72	0.83	0.6		0.78	0.88	0.63	-0.61	0.93	0.95
Property Plant And Equipment Gross	0.56	0.44	0.64	0.76	-0.56	0.58	0.5	-0.59	0.28	0.38	0.58	0.76	0.47	0.17	0.49	0.77	0.92	0.63	0.34	0.78		0.51	0.33	-0.4	0.89	0.86
Total Current Assets	0.97	0.75	0.89	0.91	-0.15	0.89	0.57	-0.8	0.91	0.92	0.91	0.9	0.89	0.86	0.87	0.83	0.54	0.71	0.78	0.88	0.51		0.6	-0.53	0.76	0.79
Short Term Debt	0.67	0.71	0.31	0.62	-0.04	0.55	0.47	-0.53	0.52	0.7	0.69	0.52	0.78	0.33	0.59	0.62	0.2	0.77	0.5	0.63	0.33	0.6		-0.04	0.55	0.6
Short Term Investments	-0.53	-0.35	-0.73	-0.61	0.6	-0.53	-0.44	0.51	-0.48	-0.51	-0.51	-0.65	-0.36	-0.5	-0.43	-0.58	-0.44	-0.47	-0.34	-0.61	-0.4	-0.53	-0.04		-0.54	-0.57
Other Liab	0.79	0.6	0.8	0.94	-0.51	0.74	0.55	-0.65	0.63	0.67	0.79	0.92	0.71	0.45	0.64	0.9	0.85	0.81	0.45	0.93	0.89	0.76	0.55	-0.54		0.98
Current Deferred Revenue	0.82	0.62	0.81	0.96	-0.49	0.74	0.57	-0.73	0.63	0.71	0.81	0.92	0.75	0.47	0.7	0.9	0.85	0.82	0.53	0.95	0.86	0.79	0.6	-0.57	0.98

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Extreme Networks Account Relationship Matchups

Extreme Networks fundamental ratios Accounts

	2019	2020	2021	2022	2023	2024 (projected)
Total Assets	979.1M	1.0B	1.1B	1.1B	1.0B	623.2M
Short Long Term Debt Total	480.5M	390.8M	351.1M	264.6M	239.6M	191.0M
Other Current Liab	123.4M	121.9M	116.3M	137.3M	129.6M	136.1M
Total Current Liabilities	397.8M	455.7M	500.2M	575.5M	517.6M	543.5M
Total Stockholder Equity	5.4M	54.5M	90.3M	116.8M	25.3M	24.0M
Property Plant And Equipment Net	110.1M	91.9M	86.0M	81.2M	87.9M	59.3M
Net Debt	286.7M	144.0M	156.6M	29.8M	82.9M	87.1M
Retained Earnings	(980.3M)	(978.3M)	(934.1M)	(856.0M)	(942.0M)	(989.1M)
Accounts Payable	48.4M	60.1M	84.3M	99.7M	51.4M	39.1M
Cash	193.9M	246.9M	194.5M	234.8M	156.7M	116.8M
Non Current Assets Total	564.9M	522.5M	579.4M	565.5M	575.7M	288.7M
Non Currrent Assets Other	55.2M	63.4M	53.0M	73.5M	83.5M	57.4M
Cash And Short Term Investments	193.9M	246.9M	194.5M	234.8M	156.7M	171.6M
Net Receivables	122.7M	156.5M	184.1M	182.0M	89.5M	88.7M
Common Stock Shares Outstanding	119.8M	127.7M	133.5M	133.6M	129.3M	115.2M
Liabilities And Stockholders Equity	979.1M	1.0B	1.1B	1.1B	1.0B	623.2M
Non Current Liabilities Total	575.9M	499.9M	478.0M	449.5M	499.7M	524.7M
Inventory	62.6M	32.9M	49.2M	89.0M	141.0M	148.1M
Other Current Assets	35.0M	102.7M	121.2M	70.3M	79.7M	83.7M
Other Stockholder Equity	991.9M	1.0B	1.0B	985.8M	982.6M	829.2M
Total Liab	973.7M	955.6M	978.2M	1.0B	1.0B	1.1B
Property Plant And Equipment Gross	110.1M	91.9M	86.0M	81.2M	238.1M	250.0M
Total Current Assets	414.2M	487.6M	489.1M	576.2M	466.9M	340.7M
Accumulated Other Comprehensive Income	(6.4M)	(2.8M)	(3.1M)	(13.2M)	(15.5M)	(14.7M)
Short Term Debt	35.7M	61.2M	61.3M	56.0M	30.4M	37.7M
Other Liab	131.0M	151.5M	174.2M	230.0M	264.5M	277.7M
Current Deferred Revenue	190.2M	212.4M	238.3M	282.5M	306.1M	321.4M
Other Assets	55.2M	63.4M	60.7M	73.5M	66.2M	69.5M
Common Stock Total Equity	127K	133K	140K	144K	129.6K	123.1K
Intangible Assets	68.4M	36.0M	32.5M	16.1M	10.6M	10.1M
Common Stock	127K	133K	140K	144K	149K	141.6K
Property Plant Equipment	110.1M	91.9M	86.0M	46.4M	53.4M	60.1M
Long Term Debt	394.6M	315.9M	270.6M	187.6M	178.3M	179.3M
Net Tangible Assets	(394.2M)	(312.7M)	(342.3M)	(262.2M)	(236.0M)	(224.2M)

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	Pair Corr
0.39	AEHR	Aehr Test Systems	Pair Corr
0.38	TER	Teradyne	Pair Corr
0.36	ASYS	Amtech Systems Fiscal Year End 12th of December 2024	Pair Corr
0.34	ACLS	Axcelis Technologies	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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