Greenpower Motor Stock Filter Stocks by Fundamentals

GP Stock  USD 0.79  0.03  3.66%   
GreenPower Motor fundamentals help investors to digest information that contributes to GreenPower's financial success or failures. It also enables traders to predict the movement of GreenPower Stock. The fundamental analysis module provides a way to measure GreenPower's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to GreenPower stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

GreenPower Current Valuation Drivers

We derive many important indicators used in calculating different scores of GreenPower from analyzing GreenPower's financial statements. These drivers represent accounts that assess GreenPower's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of GreenPower's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap17.6M450.5M149.9M54.3M47.9M49.5M
Enterprise Value29.5M436.6M154.9M69.5M63.6M52.1M

GreenPower Institutional Holders

Institutional Holdings refers to the ownership stake in GreenPower that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of GreenPower's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing GreenPower's value.
Shares
Rhumbline Advisers2024-06-30
1.5 K
U.s. Bancorp2024-06-30
1000
Federation Des Caisses Desjardins Du Quebec2024-06-30
830
Nbt Bank National Association2024-06-30
356
Td Waterhouse Canada Inc2024-06-30
350
City Holding Co2024-09-30
132
Signaturefd, Llc2024-09-30
100.0
Ifp Advisors, Llc2024-06-30
65.0
Wells Fargo & Co2024-06-30
18.0
Axxcess Wealth Management, Llc2024-06-30
180 K
Commonwealth Equity Services Inc2024-06-30
50.1 K

GreenPower Fundamentals

About GreenPower Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze GreenPower Motor's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GreenPower using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of GreenPower Motor based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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.