Donald Weinstein - Automatic Data Co Technology
| 0HJI Stock | 293.32 0.55 0.19% |
Executive
Donald Weinstein is Co Technology of Automatic Data Processing
| Age | 55 |
| Address | One ADP Boulevard, Roseland, NJ, United States, 07068 |
| Phone | 973 974 5000 |
| Web | https://www.adp.com |
Donald Weinstein Latest Insider Activity
Tracking and analyzing the buying and selling activities of Donald Weinstein against Automatic Data stock is an integral part of due diligence when investing in Automatic Data. Donald Weinstein insider activity provides valuable insight into whether Automatic Data is net buyers or sellers over its current business cycle. Note, Automatic Data insiders must abide by specific rules, including filing SEC forms every time they buy or sell Automatic Data'sshares to prevent insider trading or benefiting illegally from material non-public information that their positions give them access to.
Donald Weinstein over a year ago Exercise or conversion by Donald Weinstein of 1706 shares of Automatic Data subject to Rule 16b-3 |
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 2024Similar Executives
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Management Performance
| Return On Equity | 0.87 | ||||
| Return On Asset | 0.0654 |
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.
| Return On Equity | 0.87 | ||||
| Return On Asset | 0.0654 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.26 % | ||||
| Current Valuation | 122.66 B | ||||
| Shares Outstanding | 437.73 M | ||||
| Shares Owned By Insiders | 0.10 % | ||||
| Shares Owned By Institutions | 84.48 % | ||||
| Price To Sales | 6.52 X | ||||
| Revenue | 19.2 B |
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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.