GreenPower Change To Inventory vs Average Inventory Analysis
GP Stock | USD 0.84 0.02 2.44% |
GreenPower financial indicator trend analysis is much more than just examining GreenPower Motor latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether GreenPower Motor is a good investment. Please check the relationship between GreenPower Change To Inventory and its Average Inventory accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GreenPower Motor. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
Change To Inventory vs Average Inventory
Change To Inventory vs Average Inventory Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of GreenPower Motor Change To Inventory account and Average Inventory. At this time, the significance of the direction appears to have no relationship.
The correlation between GreenPower's Change To Inventory and Average Inventory is 0.02. Overlapping area represents the amount of variation of Change To Inventory that can explain the historical movement of Average Inventory in the same time period over historical financial statements of GreenPower Motor, assuming nothing else is changed. The correlation between historical values of GreenPower's Change To Inventory and Average Inventory is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Change To Inventory of GreenPower Motor are associated (or correlated) with its Average Inventory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Average Inventory has no effect on the direction of Change To Inventory i.e., GreenPower's Change To Inventory and Average Inventory go up and down completely randomly.
Correlation Coefficient | 0.02 |
Relationship Direction | Positive |
Relationship Strength | Insignificant |
Change To Inventory
The increase or decrease in the amount of inventory a company has over a certain period.Average Inventory
The average amount of inventory a company holds over a certain period, which is used to calculate inventory turnover and efficiency in managing stock levels.Most indicators from GreenPower's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into GreenPower Motor current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GreenPower Motor. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. As of 11/23/2024, Selling General Administrative is likely to grow to about 17.2 M, while Issuance Of Capital Stock is likely to drop slightly above 494.8 K.
2021 | 2022 | 2023 | 2024 (projected) | Cost Of Revenue | 13.4M | 32.4M | 33.9M | 35.6M | Research Development | 1.4M | 2.1M | 1.8M | 946.5K |
GreenPower fundamental ratios Correlations
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GreenPower Account Relationship Matchups
High Positive Relationship
High Negative Relationship
GreenPower fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 13.2M | 39.6M | 49.6M | 63.5M | 45.2M | 47.4M | |
Total Stockholder Equity | (1.2M) | 36.2M | 34.4M | 27.7M | 11.6M | 9.2M | |
Net Debt | 11.9M | (14.0M) | 5.0M | 15.1M | 15.6M | 16.4M | |
Retained Earnings | (23.9M) | (31.6M) | (46.4M) | (60.8M) | (78.9M) | (75.0M) | |
Cash | 299.7K | 15.1M | 884.8K | 600.4K | 1.1M | 1.7M | |
Non Current Assets Total | 5.1M | 6.7M | 6.5M | 9.4M | 8.3M | 8.8M | |
Non Currrent Assets Other | 1.1M | 463.4K | 5.2K | (1.3K) | 1.0 | 0.95 | |
Cash And Short Term Investments | 299.7K | 15.1M | 884.8K | 600.4K | 1.2M | 1.7M | |
Common Stock Shares Outstanding | 15.2M | 18.1M | 21.9M | 23.5M | 25.0M | 13.5M | |
Liabilities And Stockholders Equity | 13.2M | 39.6M | 49.6M | 63.5M | 45.2M | 47.4M | |
Other Stockholder Equity | 379.5K | 8.5M | 9.9M | 12.9M | 14.9M | 15.6M | |
Total Current Assets | 8.1M | 32.9M | 43.1M | 54.2M | 36.9M | 38.7M | |
Other Current Liab | 121.9K | 322.0K | 4.1M | 8.8M | 8.1M | 8.5M | |
Total Current Liabilities | 7.4M | 2.1M | 11.5M | 26.5M | 21.3M | 22.4M | |
Net Receivables | 1.1M | 4.8M | 3.4M | 11.5M | 2.9M | 2.2M | |
Other Current Assets | 174.0K | 626.6K | 6.6M | 487.8K | 748.4K | 755.3K | |
Total Liab | 14.4M | 3.5M | 15.2M | 35.9M | 33.6M | 35.3M | |
Property Plant And Equipment Net | 2.4M | 2.5M | 3.6M | 7.5M | 6.9M | 7.2M | |
Accounts Payable | 1.0M | 1.2M | 1.5M | 7.1M | 2.9M | 1.6M | |
Inventory | 6.6M | 12.5M | 32.3M | 41.6M | 32.0M | 33.6M | |
Accumulated Other Comprehensive Income | 5.4M | 6.6M | 9.9M | 12.9M | 14.2M | 14.9M | |
Common Stock | 16.9M | 61.2M | 70.8M | 75.5M | 76.3M | 80.1M | |
Short Long Term Debt Total | 12.2M | 1.1M | 5.9M | 15.7M | 16.8M | 17.6M | |
Current Deferred Revenue | 426.2K | 125.0K | 3.6M | 8.1M | 7.1M | 7.4M | |
Property Plant And Equipment Gross | 2.4M | 2.5M | 6.2M | 10.7M | 12.0M | 12.6M | |
Short Term Debt | 5.8M | 612.2K | 5.9M | 10.6M | 10.4M | 10.9M | |
Non Current Liabilities Total | 7.0M | 1.3M | 3.7M | 9.4M | 12.3M | 13.0M | |
Net Tangible Assets | (1.2M) | 36.2M | 34.4M | 27.7M | 31.8M | 15.9M | |
Other Assets | 2.7M | 4.2M | (1.0) | 1.9M | (38.0K) | (36.1K) | |
Long Term Debt | 4.1M | 6.0M | 365.3K | 608.8K | 2.4M | 2.0M | |
Short Long Term Debt | 5.5M | 346.2K | 5.8M | 9.9M | 9.7M | 5.2M | |
Non Current Liabilities Other | 251.9K | 573.2K | 42.8K | 34.3K | 1.3M | 1.3M | |
Property Plant Equipment | 2.4M | 2.5M | 3.6M | 7.5M | 8.6M | 9.0M | |
Other Liab | 573.2K | 848.5K | 3.7M | 4.2M | 4.8M | 5.1M | |
Net Invested Capital | 10.4M | 36.9M | 40.2M | 38.2M | 23.7M | 25.9M | |
Net Working Capital | 743.1K | 30.8M | 31.6M | 27.7M | 15.6M | 17.0M | |
Capital Lease Obligations | 659.1K | 386.7K | 120.6K | 5.2M | 4.6M | 4.9M | |
Capital Stock | 16.9M | 61.2M | 70.8M | 75.5M | 76.4M | 57.5M |
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
0.72 | SHYF | Shyft Group | PairCorr |
0.65 | ASTE | Astec Industries | PairCorr |
0.53 | OSK | Oshkosh | PairCorr |
0.51 | ALG | Alamo Group | PairCorr |
0.43 | REVG | Rev Group Fiscal Year End 11th of December 2024 | 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.