John Ayala - Automatic Data Chief Officer
| ADP Stock | EUR 223.70 2.80 1.27% |
Insider
John Ayala is Chief Officer of Automatic Data Processing
| Age | 56 |
| Phone | 973 974 5000 |
| Web | https://www.adp.com |
Automatic Data Management Efficiency
The company has return on total asset (ROA) of 0.0458 % which means that it generated a profit of $0.0458 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.783 %, meaning that it generated $0.783 on every $100 dollars invested by stockholders. Automatic Data's management efficiency ratios could be used to measure how well Automatic Data manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
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Management Performance
| Return On Equity | 0.78 | |||
| Return On Asset | 0.0458 |
Automatic Data Processing Leadership Team
Elected by the shareholders, the Automatic Data's board of directors comprises two types of representatives: Automatic Data inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Automatic. The board's role is to monitor Automatic Data's management team and ensure that shareholders' interests are well served. Automatic Data's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Automatic Data's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Christian Greyenbuhl, VP Relation | ||
| David Kwon, Chief VP | ||
| Carlos Rodriguez, CEO Director | ||
| Don McGuire, Chief Officer | ||
| Vipul Nagrath, Global Officer | ||
| Michael Bonarti, Chief Officer | ||
| Maria Black, President | ||
| Donald Weinstein, Co Technology | ||
| Brock Albinson, Co Officer | ||
| John Ayala, Chief Officer |
Automatic Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Automatic Data a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | 0.78 | |||
| Return On Asset | 0.0458 | |||
| Profit Margin | 0.18 % | |||
| Operating Margin | 0.24 % | |||
| Current Valuation | 104.54 B | |||
| Shares Outstanding | 414.35 M | |||
| Shares Owned By Insiders | 0.11 % | |||
| Shares Owned By Institutions | 83.70 % | |||
| Price To Earning | 28.24 X | |||
| Price To Book | 41.97 X |
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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Automatic Data Processing. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary 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.
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