GreenPower Return On Equity from 2010 to 2024

GP Stock  USD 0.90  0.06  7.14%   
GreenPower Return On Equity yearly trend continues to be relatively stable with very little volatility. Return On Equity is likely to grow to -1.51 this year. Return On Equity is a measure of the profitability of GreenPower Motor in relation to the equity, calculated by dividing net income by shareholder's equity. View All Fundamentals
 
Return On Equity  
First Reported
2010-12-31
Previous Quarter
(1.59)
Current Value
(1.51)
Quarterly Volatility
14.06211823
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check GreenPower financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among GreenPower's main balance sheet or income statement drivers, such as Interest Expense of 1.6 M, Selling General Administrative of 17.2 M or Other Operating Expenses of 58.9 M, as well as many indicators such as Price To Sales Ratio of 1.16, Dividend Yield of 0.0 or PTB Ratio of 4.35. GreenPower financial statements analysis is a perfect complement when working with GreenPower Valuation or Volatility modules.
  
Check out the analysis of GreenPower Correlation against competitors.

Latest GreenPower's Return On Equity Growth Pattern

Below is the plot of the Return On Equity of GreenPower Motor over the last few years. Return on Equity is the amount of GreenPower Motor net income returned as a percentage of GreenPower equity. Return on equity measures GreenPower profitability by revealing how much profit GreenPower Motor generates with the money shareholders have invested. It is a measure of the profitability of a business in relation to the equity, calculated by dividing net income by shareholder's equity. GreenPower's Return On Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in GreenPower's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported -1.210 Years Trend
Very volatile
   Return On Equity   
       Timeline  

GreenPower Return On Equity Regression Statistics

Arithmetic Mean2.92
Coefficient Of Variation481.15
Mean Deviation7.12
Median(0.55)
Standard Deviation14.06
Sample Variance197.74
Range58.5515
R-Value0.08
Mean Square Error211.51
R-Squared0.01
Significance0.77
Slope0.26
Total Sum of Squares2,768

GreenPower Return On Equity History

2024 -1.51
2023 -1.59
2022 -0.55
2021 -0.46
2020 -0.26
2019 6.2
2018 53.06

About GreenPower Financial Statements

GreenPower shareholders use historical fundamental indicators, such as Return On Equity, to determine how well the company is positioned to perform in the future. Although GreenPower investors may analyze each financial statement separately, they are all interrelated. The changes in GreenPower's assets and liabilities, for example, are also reflected in the revenues and expenses on on GreenPower's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Return On Equity(1.59)(1.51)

Pair Trading with GreenPower

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 GreenPower 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 GreenPower will appreciate offsetting losses from the drop in the long position's value.

Moving against GreenPower Stock

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The ability to find closely correlated positions to GreenPower could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GreenPower 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 GreenPower - 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 GreenPower Motor to buy it.
The correlation of GreenPower 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 GreenPower moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GreenPower Motor 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 GreenPower 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 CorrelationCorrelation Matching

Additional Tools for GreenPower Stock Analysis

When running GreenPower's price analysis, check to measure GreenPower'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 GreenPower is operating at the current time. Most of GreenPower's value examination focuses on studying past and present price action to predict the probability of GreenPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GreenPower's price. Additionally, you may evaluate how the addition of GreenPower to your portfolios can decrease your overall portfolio volatility.