Automatic Common Stock Shares Outstanding from 2010 to 2026
| ADP Stock | EUR 206.25 0.75 0.36% |
Common Stock Shares Outstanding | First Reported 2019-12-31 | Previous Quarter 404.9 M | Current Value 403 M | Quarterly Volatility 9.2 M |
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 Interest Expense of 550.5 M, Selling General Administrative of 3.4 B or Total Revenue of 16.1 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.
Automatic | Common Stock Shares Outstanding |
The Common Stock Shares Outstanding trend for Automatic Data Processing offers valuable insights into the company's financial trajectory and strategic direction. By examining multi-year patterns, investors can identify whether Automatic Data is strengthening or weakening its position, and how this metric correlates with broader market conditions and industry benchmarks.
Latest Automatic Data's Common Stock Shares Outstanding Growth Pattern
Below is the plot of the Common Stock Shares Outstanding of Automatic Data Processing over the last few years. It is the total number of shares of a company's common stock that are currently owned by all its shareholders. Automatic Data's Common Stock Shares Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automatic Data's overall financial position and show how it may be relating to other accounts over time.
| Common Stock Shares Outstanding | 10 Years Trend |
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Common Stock Shares Outstanding |
| Timeline |
Automatic Common Stock Shares Outstanding Regression Statistics
| Arithmetic Mean | 422,753,660 | |
| Geometric Mean | 421,621,478 | |
| Coefficient Of Variation | 7.24 | |
| Mean Deviation | 22,507,028 | |
| Median | 434,200,000 | |
| Standard Deviation | 30,587,683 | |
| Sample Variance | 935.6T | |
| Range | 106.1M | |
| R-Value | (0.85) | |
| Mean Square Error | 275.4T | |
| R-Squared | 0.72 | |
| Significance | 0.000015 | |
| Slope | (5,154,099) | |
| Total Sum of Squares | 14969.7T |
Automatic Common Stock Shares Outstanding History
About Automatic Data Financial Statements
Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's Common Stock Shares Outstanding, to determine how well the company is positioned to perform in the future. Although Automatic Data investors may analyze each financial statement separately, they are all interrelated. For example, changes in Automatic Data's assets and liabilities are reflected in the revenues and expenses on Automatic Data's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Automatic Data Processing. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 364.8 M | 338.9 M |
Currently Active Assets on Macroaxis
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:Check out the analysis of Automatic Data Correlation against competitors. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.