GreenPower Cash from 2010 to 2026
| GP Stock | USD 1.27 0.30 30.93% |
Cash | First Reported 2010-12-31 | Previous Quarter 248.2 K | Current Value 510.6 K | Quarterly Volatility 5.1 M |
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 2.6 M, Selling General Administrative of 19.5 M or Other Operating Expenses of 45.6 M, as well as many indicators such as Price To Sales Ratio of 7.44, Dividend Yield of 0.0 or Days Sales Outstanding of 11.8. GreenPower financial statements analysis is a perfect complement when working with GreenPower Valuation or Volatility modules.
GreenPower | Cash | Build AI portfolio with GreenPower Stock |
Evaluating GreenPower's Cash across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into GreenPower Motor's fundamental strength.
Latest GreenPower's Cash Growth Pattern
Below is the plot of the Cash of GreenPower Motor over the last few years. Cash refers to the most liquid asset of GreenPower Motor, which is listed under current asset account on GreenPower Motor balance sheet and usually includes currency, coins, checking accounts, and not deposited checks received from GreenPower customers. The amounts must be unrestricted with restricted cash listed in a different GreenPower account. It is the total amount of money in the form of currency that a company has in its possession. This includes all bills, coins, and funds in bank accounts. GreenPower's Cash 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.
| Cash | 10 Years Trend |
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Cash |
| Timeline |
GreenPower Cash Regression Statistics
| Arithmetic Mean | 1,375,372 | |
| Geometric Mean | 443,259 | |
| Coefficient Of Variation | 258.61 | |
| Mean Deviation | 1,614,215 | |
| Median | 376,087 | |
| Standard Deviation | 3,556,863 | |
| Sample Variance | 12.7T | |
| Range | 15M | |
| R-Value | 0.12 | |
| Mean Square Error | 13.3T | |
| R-Squared | 0.02 | |
| Significance | 0.64 | |
| Slope | 86,293 | |
| Total Sum of Squares | 202.4T |
GreenPower Cash History
Other Fundumenentals of GreenPower Motor
GreenPower Cash component correlations
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About GreenPower Financial Statements
GreenPower shareholders use historical fundamental indicators, such as Cash, 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.
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
| 0.56 | WAC | Wacker Neuson SE | PairCorr |
| 0.45 | VELO | Velo3D | PairCorr |
| 0.44 | K34 | Konecranes Plc | PairCorr |
| 0.38 | WA9 | Wabash National | PairCorr |
| 0.36 | TXG | Terex | PairCorr |
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.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.