Paul Boland - Automatic Data Chief Officer

0HJI Stock   293.32  1.14  0.39%   

Executive

Paul Boland is Chief Officer of Automatic Data Processing
Age 60
Address One ADP Boulevard, Roseland, NJ, United States, 07068
Phone973 974 5000
Webhttps://www.adp.com

Automatic Data Management Efficiency

The company has return on total asset (ROA) of 0.0654 % which means that it generated a profit of $0.0654 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.8726 %, meaning that it generated $0.8726 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. Total Assets is likely to drop to about 47.2 B in 2024. Non Current Assets Total is likely to drop to about 7.3 B in 2024

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Automatic Data Processing (0HJI) is traded on London Exchange in UK and employs 64,000 people. Automatic Data is listed under Environmental & Facilities Services category by Fama And French industry classification.

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.
M Heron, Managing Operations
Christian Greyenbuhl, VP Relation
Jonathan Lehberger, Corporate Officer
David Kwon, Chief VP
Joseph DeSilva, President Sales
Don McGuire, Chief Officer
Max Li, Global Officer
Maria Black, CEO President
Brock Albinson, Corporate Officer
Allyce Hackmann, Vice Communications
Carlos Rodriguez, Executive Chair
Gus Blanchard, Chief Officer
Paul Boland, Chief Officer
Michael JD, Chief Officer
Vipul Nagrath, Global Officer
Michael Bonarti, Chief Officer
Sreenivasa Kutam, President Innovation
David JD, Chief VP
Donald Weinstein, Co Technology
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.

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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.