GreenPower Short Term Debt from 2010 to 2024

GPV Stock  CAD 1.45  0.04  2.84%   
GreenPower Short Term Debt yearly trend continues to be fairly stable with very little volatility. Short Term Debt is likely to outpace its year average in 2024. During the period from 2010 to 2024, GreenPower Short Term Debt regression line of quarterly data had mean square error of 5.3 T and geometric mean of  1,068,762. View All Fundamentals
 
Short Term Debt  
First Reported
2013-06-30
Previous Quarter
11.2 M
Current Value
10.4 M
Quarterly Volatility
3.9 M
 
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 809.9 K, 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.
  
This module can also supplement various GreenPower Technical models . Check out the analysis of GreenPower Correlation against competitors.

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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.