Automatic Data Company Insiders
| ADP Stock | USD 315.18 3.88 1.25% |
Automatic Data employs about 64 K people. The company is managed by 22 executives with a total tenure of roughly 73 years, averaging almost 3.0 years of service per executive, having 2909.09 employees per reported executive. Discussion of Automatic Data's management performance can provide insight into the enterprise performance.
| Carlos Rodriguez CEO CEO and President and Director |
| Maria Black President President - Employer Services - TotalSource |
Automatic |
Automatic Data's latest congressional trading
Congressional trading in companies like Automatic Data Processing, is subject to rigorous scrutiny to prevent conflicts of interest and insider trading. This is governed by multiple SEC regulations which were established to foster transparency and deter members of Congress from leveraging non-public information for personal gain. This oversight helps maintain public trust and ensures that investments in Automatic Data by those in governmental positions are based on the same information available to the general public.
| 2024-10-16 | Representative Scott Franklin | Acquired Under $15K | Verify | ||
| 2024-10-15 | Representative Scott Franklin | Acquired $50K to $100K | Verify | ||
| 2024-09-02 | Representative John James | Acquired Under $15K | Verify | ||
| 2024-08-21 | Representative Jared Moskowitz | Acquired Under $15K | Verify | ||
| 2023-11-16 | Senator Tommy Tuberville | Acquired Under $15K | Verify | ||
| 2023-11-15 | Senator Tommy Tuberville | Acquired Under $15K | Verify | ||
| 2023-10-20 | Senator Pete Ricketts | Acquired $50K to $100K | Verify | ||
| 2016-03-02 | Senator John Hoeven | Acquired $50K to $100K | Verify |
Automatic Data Management Team Effectiveness
The company has Return on Asset of 0.0546 % which means that on every $100 spent on assets, it made $0.0546 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.8372 %, implying that it generated $0.8372 on every 100 dollars invested. 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 Workforce Comparison
Automatic Data Processing is number one stock in number of employees category among its peers. The total workforce of Information Technology industry is presently estimated at about 646,795. Automatic Data holds roughly 64,000 in number of employees claiming about 10% of equities under Information Technology industry.
The company has Net Profit Margin of 0.2 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.26 %, which entails that for every 100 dollars of revenue, it generated $0.26 of operating income. Automatic Data Insider Trading
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Automatic Data insiders, such as employees or executives, is commonly permitted as long as it does not rely on Automatic Data's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases, Automatic Data insiders must file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
David Foskett over a month ago Insider Trading | ||
Carlos Rodriguez over three months ago Disposition of 17267 shares by Carlos Rodriguez of Automatic Data at 277.7033 subject to Rule 16b-3 | ||
Carlos Rodriguez over three months ago Disposition of 29432 shares by Carlos Rodriguez of Automatic Data at 138.53 subject to Rule 16b-3 | ||
Maria Black over six months ago Acquisition by Maria Black of 15428 shares of Automatic Data subject to Rule 16b-3 | ||
Michael Bonarti over six months ago Disposition of 26442 shares by Michael Bonarti of Automatic Data at 169.84 subject to Rule 16b-3 | ||
Michael Bonarti over six months ago Disposition of 7984 shares by Michael Bonarti of Automatic Data at 169.84 subject to Rule 16b-3 | ||
Joseph DeSilva over six months ago Disposition of 376 shares by Joseph DeSilva of Automatic Data at 244.27 subject to Rule 16b-3 | ||
Sandra Wijnberg over a year ago Acquisition by Sandra Wijnberg of 1574 shares of Automatic Data subject to Rule 16b-3 |
Automatic Data Notable Stakeholders
An Automatic Data stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Automatic Data often face trade-offs trying to please all of them. Automatic Data's stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Automatic Data's stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
| Carlos Rodriguez | CEO and President and Director | Profile | |
| Christian Greyenbuhl | Vice President Investor Relations | Profile | |
| Maria Black | President - Employer Services - TotalSource | Profile | |
| David Foskett | President Sales | Profile | |
| Sreenivasa Kutam | President Innovation | Profile | |
| John Ayala | Vice President - Client Experience and Continuous Improvement | Profile | |
| Michael Bonarti | VP, General Counsel and Secretary | Profile | |
| David JD | Chief VP | Profile | |
| M Heron | Managing Operations | Profile | |
| Jonathan Lehberger | Corporate Officer | Profile | |
| Matthew CFA | Vice Relations | Profile | |
| David Kwon | Chief VP | Profile | |
| Joseph DeSilva | Executive Operations | Profile | |
| Don McGuire | Chief Officer | Profile | |
| Max Li | Global Officer | Profile | |
| Brock Albinson | Principal Accounting Officer and Corporate Controller | Profile | |
| Allyce Hackmann | Vice Communications | Profile | |
| Gus Blanchard | Chief Officer | Profile | |
| Paul Boland | Chief Officer | Profile | |
| Michael JD | Chief Officer | Profile | |
| Vipul Nagrath | Global Officer | Profile | |
| Donald Weinstein | Chief Strategy Officer | Profile |
About Automatic Data Management Performance
The success or failure of an entity such as Automatic Data Processing often depends on how effective the management is. Automatic Data management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of Automatic management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the Automatic management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on 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 Data operates under Staffing Employment Services classification in the United States and is traded on NASDAQ Exchange. It employs 60000 people.
Automatic Data Workforce Analysis
Traditionally, organizations such as Automatic Data use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare Automatic Data within its industry.Automatic Data Manpower Efficiency
Return on Automatic Data Manpower
| Revenue Per Employee | 300K | |
| Revenue Per Executive | 872.8M | |
| Net Income Per Employee | 58.6K | |
| Net Income Per Executive | 170.5M | |
| Working Capital Per Employee | 7.2K | |
| Working Capital Per Executive | 21M |
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.