Datametrex Debt To Assets from 2010 to 2024

DM Stock  CAD 0.01  0.01  100.00%   
Datametrex Debt To Assets yearly trend continues to be fairly stable with very little volatility. Debt To Assets will likely drop to 0.04 in 2024. During the period from 2010 to 2024, Datametrex Debt To Assets regression line of quarterly data had mean square error of  0.0002 and geometric mean of  0.03. View All Fundamentals
 
Debt To Assets  
First Reported
2010-12-31
Previous Quarter
0.04084011
Current Value
0.0404
Quarterly Volatility
0.01372834
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Datametrex financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Datametrex's main balance sheet or income statement drivers, such as Selling General Administrative of 9.2 M, Other Operating Expenses of 10.5 M or Total Operating Expenses of 4.3 M, as well as many indicators such as Price To Sales Ratio of 0.73, Dividend Yield of 0.0 or PTB Ratio of 3.12. Datametrex financial statements analysis is a perfect complement when working with Datametrex Valuation or Volatility modules.
  
This module can also supplement various Datametrex Technical models . Check out the analysis of Datametrex Correlation against competitors.

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Additional Tools for Datametrex Stock Analysis

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