Extreme Net Income from 2010 to 2024
| EXTR Stock | USD 10.94 0.19 1.71% |
Net Income | First Reported 1998-09-30 | Previous Quarter 28.7 M | Current Value 4 M | Quarterly Volatility 25.1 M |
Check Extreme Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Extreme main balance sheet or income statement drivers, such as Depreciation And Amortization of 28.5 M, Interest Expense of 21 M or Total Revenue of 1.6 B, as well as many exotic indicators such as Price To Sales Ratio of 2.86, Dividend Yield of 0.0098 or PTB Ratio of 27.3. Extreme financial statements analysis is a perfect complement when working with Extreme Networks Valuation or Volatility modules.
Extreme | Net Income |
Latest Extreme Networks' Net Income Growth Pattern
Below is the plot of the Net Income of Extreme Networks over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Extreme Networks financial statement analysis. It represents the amount of money remaining after all of Extreme Networks operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Extreme Networks' Net Income 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.
| View | Last Reported 78.07 M | 10 Years Trend |
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Net Income |
| Timeline |
Extreme Net Income Regression Statistics
| Arithmetic Mean | (3,257,236) | |
| Geometric Mean | 30,739,991 | |
| Coefficient Of Variation | (1,904) | |
| Mean Deviation | 47,558,148 | |
| Median | (8,517,000) | |
| Standard Deviation | 62,014,744 | |
| Sample Variance | 3845.8T | |
| Range | 221.1M | |
| R-Value | 0.51 | |
| Mean Square Error | 3083.6T | |
| R-Squared | 0.26 | |
| Significance | 0.05 | |
| Slope | 7,008,954 | |
| Total Sum of Squares | 53841.6T |
Extreme Net Income History
Other Fundumenentals of Extreme Networks
| Net Income Applicable To Common Shares | ||
| Net Income From Continuing Ops | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Extreme Networks Net Income component correlations
About Extreme Networks Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Extreme Networks income statement, its balance sheet, and the statement of cash flows. Extreme Networks investors use historical funamental indicators, such as Extreme Networks's Net Income, to determine how well the company is positioned to perform in the future. Although Extreme Networks investors may use each financial statement separately, they are all related. The changes in Extreme Networks's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Extreme Networks's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Extreme Networks Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Extreme Networks. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Net Income | 89.8 M | 94.3 M | |
| Net Income Applicable To Common Shares | 70.3 M | 73.8 M | |
| Net Income From Continuing Ops | 89.8 M | 94.3 M | |
| Net Income Per Share | 0.54 | 0.57 | |
| Net Income Per E B T | 0.75 | 0.66 |
Extreme Networks Investors Sentiment
The influence of Extreme Networks' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Extreme. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Extreme Networks' public news can be used to forecast risks associated with an investment in Extreme. The trend in average sentiment can be used to explain how an investor holding Extreme can time the market purely based on public headlines and social activities around Extreme Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Extreme Networks' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Extreme Networks' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Extreme Networks' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Extreme Networks.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Extreme Networks in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Extreme Networks' short interest history, or implied volatility extrapolated from Extreme Networks options trading.
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
| 0.77 | CSCO | Cisco Systems Fiscal Quarter End 30th of April 2024 | PairCorr |
| 0.63 | G | Genpact Limited Financial Report 8th of May 2024 | PairCorr |
Moving against Extreme Stock
| 0.83 | CACI | CACI International Earnings Call This Week | PairCorr |
| 0.79 | FORTY | Formula Systems 1985 | PairCorr |
| 0.79 | UCTT | Ultra Clean Holdings | PairCorr |
| 0.76 | LRCX | Lam Research Corp Earnings Call This Week | PairCorr |
| 0.76 | NVMI | Nova Financial Report 9th of May 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.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.You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary 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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Is Extreme Networks' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Extreme Networks. If investors know Extreme will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Extreme Networks listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.77) | Earnings Share 0.6 | Revenue Per Share 10.456 | Quarterly Revenue Growth (0.07) | Return On Assets 0.0723 |
The market value of Extreme Networks is measured differently than its book value, which is the value of Extreme that is recorded on the company's balance sheet. Investors also form their own opinion of Extreme Networks' value that differs from its market value or its book value, called intrinsic value, which is Extreme Networks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Extreme Networks' market value can be influenced by many factors that don't directly affect Extreme Networks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Extreme Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Extreme Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Extreme Networks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.