Argentum Short Term Debt from 2010 to 2024

ASL Stock  CAD 0.07  0.01  30.00%   
Argentum Silver Short Term Debt yearly trend continues to be fairly stable with very little volatility. Short Term Debt will likely drop to about 27.3 K in 2024. During the period from 2010 to 2024, Argentum Silver Short Term Debt regression line of quarterly data had mean square error of  754,878 and geometric mean of  25,430. View All Fundamentals
 
Short Term Debt  
First Reported
2010-12-31
Previous Quarter
29.4 K
Current Value
27.3 K
Quarterly Volatility
1.4 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Argentum Silver financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Argentum Silver's main balance sheet or income statement drivers, such as Interest Expense of 0.0, Selling General Administrative of 345.8 K or Total Revenue of 0.0, as well as many indicators such as . Argentum financial statements analysis is a perfect complement when working with Argentum Silver Valuation or Volatility modules.
  
This module can also supplement various Argentum Silver Technical models . Check out the analysis of Argentum Silver Correlation against competitors.

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Additional Tools for Argentum Stock Analysis

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