| ADPR34 Stock | | | BRL 54.62 1.33 2.38% |
CFO
Kathleen Winters is Chief Financial Officer of Automatic Data Processing since 2019.
| Age | 51 |
| Tenure | 5 years |
| 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.
Automatic Data Processing has accumulated 2.99
B in total debt with debt to equity ratio
(D/E) of 0.42, which is about average as compared to similar companies. Automatic Data Processing has a current ratio of 1.04, suggesting that it
is in a questionable position to pay out its financial obligations in time and when they become due. Debt can assist Automatic Data until it has trouble settling it off, either with new capital or with free cash flow. So, Automatic Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Automatic Data Processing sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Automatic to invest in growth at high rates of return. When we think about Automatic Data's use of debt, we should always consider it together with cash and equity.
Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOMATIC DTDRN operates under Staffing Employment Services classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 58000 people. Automatic Data Processing (ADPR34) is traded on Sao Paulo Exchange in Brazil and employs 60,000 people.
Management Performance
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.
| David Kwon, Chief VP | |
| Douglas Politi, President - Compliance Solutions | |
| Maria Black, President - Worldwide Sales and Marketing | |
| Brock Albinson, Corporate Controller, Principal Accounting Officer | |
| Dermot OBrien, Chief Transformation Officer | |
| Laura Brown, President Major Account Services and ADP Canada | |
| John Jones, Non-Executive Independent Chairman of the Board | |
| Richard Clark, Independent Director | |
| William Ready, Independent Director | |
| Brian Michaud, President - Human Resources Outsourcing | |
| Michael Eberhard, Vice President Treasurer | |
| Michael Bonarti, Corporate Vice President General Counsel, Secretary | |
| Vipul Nagrath, Global Officer | |
| Nazzic Keene, Independent Director | |
| Donald Weinstein, Corporate Vice President - Global Product and Technology | |
| Kathleen Winters, Chief Financial Officer | |
| Christian Greyenbuhl, VP Relation | |
| Joseph DeSilva, President - Small Business Services, Retirement Services and Insurance Services | |
| Scott Powers, Independent Director | |
| Thomas Lynch, Independent Director | |
| Deborah Dyson, President - National Account Services | |
| Francine Katsoudas, Independent Director | |
| Don McGuire, President - Employer Services International | |
| Peter Bisson, Independent Director | |
| Matthew Levin, Chief Strategy Officer | |
| Sandra Wijnberg, Independent Director | |
| Carlos Rodriguez, President, Chief Executive Officer, Director | |
| John Ayala, President - Employer Services North America | |
| Sreeni kutam, Chief Human Resource Officer | |
| Stuart Sackman, Corporate Vice President - Global Shared Services | |
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.
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Additional Information and Resources on Investing in Automatic Stock
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 closely tied with the direction of predictive economic indicators such as
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Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.