Automatic Total Stockholder Equity from 2010 to 2024

0HJI Stock   296.94  2.82  0.94%   
Automatic Data Total Stockholder Equity yearly trend continues to be comparatively stable with very little volatility. Total Stockholder Equity will likely drop to about 3.9 B in 2024. Total Stockholder Equity is the total equity held by shareholders, calculated as the difference between a company's total assets and total liabilities. It represents the net value of the company owned by shareholders. View All Fundamentals
 
Total Stockholder Equity  
First Reported
2012-12-31
Previous Quarter
4.5 B
Current Value
5.3 B
Quarterly Volatility
B
 
Yuan Drop
 
Covid
Check Automatic Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers, such as Depreciation And Amortization of 440.4 M, Total Revenue of 15.2 B or Gross Profit of 7 B, as well as many indicators such as . Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
  
This module can also supplement various Automatic Data Technical models . Check out the analysis of Automatic Data Correlation against competitors.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Automatic Stock Analysis

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