Green Net Income from 2010 to 2026
Green Energy Net Income yearly trend continues to be relatively stable with very little volatility. Net Income is likely to grow to about 122.3 K this year. During the period from 2010 to 2026, Green Energy Net Income destribution of quarterly values had range of 204 K from its regression line and mean deviation of 21,278. View All Fundamentals
Check out the analysis of Green Energy Correlation against competitors.
Net Income | First Reported 2010-12-31 | Previous Quarter 120 K | Current Value 122.3 K | Quarterly Volatility 46.8 K |
Check Green Energy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Green Energy's main balance sheet or income statement drivers, such as Discontinued Operations of 0.0, Interest Expense of 0.0 or Selling General Administrative of 1.6 M, as well as many indicators such as Price To Sales Ratio of 0.0182, Dividend Yield of 0.0 or PTB Ratio of 0.12. Green financial statements analysis is a perfect complement when working with Green Energy Valuation or Volatility modules.
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Latest Green Energy's Net Income Growth Pattern
Below is the plot of the Net Income of Green Energy Resources over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Green Energy Resources financial statement analysis. It represents the amount of money remaining after all of Green Energy Resources operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Green Energy's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Green Energy's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 133.28 K | 10 Years Trend |
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Net Income |
| Timeline |
Green Net Income Regression Statistics
| Arithmetic Mean | 143,067 | |
| Geometric Mean | 138,858 | |
| Coefficient Of Variation | 32.70 | |
| Mean Deviation | 21,278 | |
| Median | 133,283 | |
| Standard Deviation | 46,783 | |
| Sample Variance | 2.2B | |
| Range | 204K | |
| R-Value | (0.45) | |
| Mean Square Error | 1.9B | |
| R-Squared | 0.20 | |
| Significance | 0.07 | |
| Slope | (4,182) | |
| Total Sum of Squares | 35B |
Green Net Income History
Other Fundumenentals of Green Energy Resources
| Net Income From Continuing Ops | ||
| Net Income Applicable To Common Shares | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Green Energy Net Income component correlations
About Green Energy Financial Statements
Green Energy shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Green Energy investors may analyze each financial statement separately, they are all interrelated. The changes in Green Energy's assets and liabilities, for example, are also reflected in the revenues and expenses on on Green Energy's 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 | ||
| Net Income From Continuing Ops | 120 K | 122.3 K | |
| Net Income Applicable To Common Shares | 120 K | 122.3 K | |
| Net Income | 120 K | 122.3 K | |
| Net Income Per E B T | 0.70 | 0.62 |
Pair Trading with Green Energy
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 Green Energy 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 Green Energy will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Green Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Energy 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 Green Energy - 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 Green Energy Resources to buy it.
The correlation of Green Energy 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 Green Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Energy Resources 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 Green Energy 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 Green Stock Analysis
When running Green Energy's price analysis, check to measure Green Energy's 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 Green Energy is operating at the current time. Most of Green Energy's value examination focuses on studying past and present price action to predict the probability of Green Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Energy's price. Additionally, you may evaluate how the addition of Green Energy to your portfolios can decrease your overall portfolio volatility.