Automatic Data Company Insiders
| ADP Stock | USD 244.08 0.23 0.09% |
Automatic Data's insiders are aggressively selling. The analysis of insiders' sentiment of trading Automatic Data Processing stock suggests that virtually all insiders are panicking at this time. Automatic Data employs about 63 K people. The company is managed by 40 executives with a total tenure of roughly 316 years, averaging almost 7.0 years of service per executive, having 1575.0 employees per reported executive.
| Carlos Rodriguez CEO CEO and President and Director |
| Edward Flynn President Vice President - Employer Services, Sales and Marketing |
Automatic Data's Insider Buying Vs Selling
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Selling | Buying |
Latest Trades
| 2024-03-04 | Sreenivasa Kutam | Disposed 368 @ 247.01 | View | ||
| 2024-03-01 | Sreenivasa Kutam | Disposed 694 @ 249.43 | View | ||
| 2024-02-22 | Joseph Desilva | Disposed 1904 @ 255 | View | ||
| 2024-02-06 | David Kwon | Disposed 863 @ 250 | View | ||
| 2024-02-01 | Don Mcguire | Disposed 11333 @ 245 | View | ||
| 2024-01-16 | John Ayala | Disposed 1500 @ 235.13 | View | ||
| 2023-10-16 | Tommy Tuberville | Disposed @ 249.26 | |||
| 2023-10-03 | Don Mcguire | Disposed 2380 @ 238.91 | View | ||
| 2023-09-21 | Pete Ricketts | Disposed @ 238.72 | |||
| 2023-09-12 | Carlos A Rodriguez | Disposed 52254 @ 247.93 | View | ||
| 2023-09-07 | Carlos A Rodriguez | Disposed 58864 @ 250.42 | View | ||
| 2023-09-05 | Maria Black | Disposed 2963 @ 253.9 | View | ||
| 2023-09-01 | Maria Black | Disposed 17326 @ 255.03 | View | ||
| 2023-07-27 | Michael A Bonarti | Disposed 7049 @ 254.75 | View |
Monitoring Automatic Data's insider sentiment can offer insights into its future performance, as insiders often have access to more information about their company's operations, financial health, and upcoming initiatives than the general public. However, it's essential to note that insider trading is regulated by securities laws, and insiders are required to disclose their trades publicly to ensure transparency and prevent unfair advantages based on non-public information.
Automatic |
Automatic Data's Workforce Through the Years
Please note that employee historical analysis has become an increasingly important factor for investors assessing the risk associated with Automatic Data's future performance. Based on our forecasts, it is anticipated that Automatic will maintain a workforce of slightly above 63000 employees by May 2024.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.
| 2023-10-16 | Senator Thomas H Tuberville | Acquired Under $15K | Verify | ||
| 2023-09-21 | Senator John P Ricketts | Acquired $50K to $100K | Verify | ||
| 2023-02-23 | Representative Josh Gottheimer | Disposed Under $15K | Verify | ||
| 2022-02-22 | Representative Marjorie Taylor Greene | Acquired Under $15K | Verify | ||
| 2021-03-11 | Senator Tommy Tuberville | Acquired Under $15K | Verify | ||
| 2020-03-16 | Senator Kelly Loeffler | Acquired Under $15K | Verify | ||
| 2020-02-20 | Representative Mikie Sherrill | Disposed Under $15K | Verify | ||
| 2019-06-06 | Representative Daniel Meuser | Disposed Under $15K | Verify | ||
| 2019-04-18 | Representative K. Michael Conaway | Disposed Under $15K | Verify | ||
| 2018-04-24 | Senator Shelley Moore Capito | Acquired Under $15K | Verify | ||
| 2018-04-05 | Senator Shelley M Capito | Acquired Under $15K | Verify | ||
| 2016-02-09 | Senator John Hoeven | Acquired $50K to $100K | Verify | ||
| 2015-01-13 | Senator Susan M. Collins | Acquired Under $15K | Verify |
Automatic Data Management Team Effectiveness
The company has Return on Asset of 0.0532 % which means that on every $100 spent on assets, it made $0.0532 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.9738 %, implying that it generated $0.9738 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. As of 04/16/2024, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.52. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 04/16/2024, Liabilities And Stockholders Equity is likely to grow to about 61.5 B, while Non Current Liabilities Total is likely to drop slightly above 4.8 B.Automatic Data Quarterly Income Before Tax |
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Automatic Data Workforce Comparison
Automatic Data Processing is number one stock in number of employees category among related companies. The total workforce of Industrials industry is presently estimated at about 200,131. Automatic Data totals roughly 63,000 in number of employees claiming about 31% of equities under Industrials industry.
Automatic Data Profit Margins
The company has Net Profit Margin of 0.19 %, 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.| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.55 | 0.48 |
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| Net Profit Margin | 0.11 | 0.18 |
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| Operating Profit Margin | 0.15 | 0.23 |
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| Pretax Profit Margin | 0.16 | 0.23 |
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| Return On Assets | 0.0806 | 0.077 |
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| Return On Equity | 0.92 | 0.88 |
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Automatic Data Insider Trading History
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.
| Buy/Sell Ratio | # Purchases Trades | # Sales Trades | Total Shares Purchased | Total Shares Sold | |
|---|---|---|---|---|---|
| 2024-03-01 | 0.5161 | 16 | 31 | 47,682 | 101,032 |
| 2023-12-01 | 1.2222 | 11 | 9 | 20,384 | 14,534 |
| 2023-09-01 | 0.7083 | 34 | 48 | 398,652 | 512,007 |
| 2023-06-01 | 0.5 | 1 | 2 | 4,579 | 12,446 |
| 2023-03-01 | 0.4286 | 12 | 28 | 179,507 | 329,788 |
| 2022-12-01 | 1.7143 | 12 | 7 | 15,396 | 1,395 |
| 2022-09-01 | 0.5263 | 60 | 114 | 435,882 | 618,441 |
| 2022-06-01 | 0.4 | 2 | 5 | 3,808 | 7,066 |
| 2022-03-01 | 0.5 | 17 | 34 | 18,417 | 36,071 |
| 2021-12-01 | 0.3617 | 34 | 94 | 241,063 | 506,686 |
| 2021-09-01 | 0.7571 | 53 | 70 | 680,838 | 335,412 |
| 2021-06-01 | 0.5 | 17 | 34 | 38,903 | 82,074 |
| 2021-03-01 | 0.3061 | 15 | 49 | 69,803 | 162,710 |
| 2020-12-01 | 1.0455 | 23 | 22 | 146,742 | 254,733 |
| 2020-09-01 | 0.7231 | 47 | 65 | 896,220 | 364,742 |
| 2020-06-01 | 1.25 | 5 | 4 | 48,235 | 1,400 |
| 2020-03-01 | 0.2857 | 14 | 49 | 78,728 | 185,483 |
| 2019-12-01 | 1.1111 | 10 | 9 | 66,930 | 197,010 |
| 2019-09-01 | 0.4397 | 51 | 116 | 930,816 | 558,356 |
| 2019-06-01 | 0.5714 | 4 | 7 | 36,588 | 59,201 |
| 2019-03-01 | 0.463 | 25 | 54 | 137,443 | 314,585 |
| 2018-12-01 | 1.0714 | 15 | 14 | 189,898 | 318,275 |
| 2018-09-01 | 0.8036 | 45 | 56 | 611,664 | 201,277 |
| 2018-06-01 | 0.3529 | 6 | 17 | 22,949 | 50,154 |
| 2018-03-01 | 0.4884 | 42 | 86 | 338,647 | 711,677 |
| 2017-12-01 | 3.0 | 9 | 3 | 23,967 | 5,429 |
| 2017-09-01 | 0.9318 | 41 | 44 | 693,305 | 191,837 |
| 2017-06-01 | 0.2 | 1 | 5 | 49,392 | 100,526 |
| 2017-03-01 | 0.6567 | 44 | 67 | 232,075 | 457,676 |
| 2016-12-01 | 1.8571 | 13 | 7 | 76,084 | 52,985 |
| 2016-09-01 | 0.9348 | 43 | 46 | 700,448 | 255,634 |
| 2016-06-01 | 0.6667 | 4 | 6 | 34,450 | 58,016 |
| 2016-03-01 | 0.5714 | 24 | 42 | 163,440 | 344,138 |
| 2015-12-01 | 2.25 | 9 | 4 | 28,279 | 5,793 |
| 2015-09-01 | 0.7368 | 28 | 38 | 440,983 | 117,155 |
| 2015-06-01 | 0.7 | 7 | 10 | 136,317 | 205,861 |
| 2015-03-01 | 0.6885 | 42 | 61 | 579,494 | 583,792 |
| 2014-12-01 | 4.3333 | 13 | 3 | 35,173 | 12,246 |
| 2014-09-01 | 1.0303 | 34 | 33 | 199,627 | 190,163 |
| 2014-06-01 | 0.5 | 12 | 24 | 105,912 | 215,551 |
| 2014-03-01 | 0.7692 | 40 | 52 | 483,973 | 352,459 |
| 2013-12-01 | 1.0 | 9 | 9 | 35,635 | 41,895 |
| 2013-09-01 | 5.0 | 20 | 4 | 122,426 | 17,132 |
| 2013-06-01 | 0.1875 | 3 | 16 | 17,196 | 29,671 |
| 2013-03-01 | 0.5918 | 29 | 49 | 407,744 | 236,126 |
| 2012-12-01 | 1.5 | 9 | 6 | 28,243 | 5,764 |
| 2012-09-01 | 2.0833 | 25 | 12 | 103,125 | 47,571 |
| 2012-06-01 | 0.0909 | 1 | 11 | 30,000 | 14,744 |
| 2012-03-01 | 0.7273 | 24 | 33 | 332,451 | 139,959 |
| 2011-12-01 | 1.8 | 9 | 5 | 58,622 | 64,577 |
| 2011-09-01 | 4.1667 | 25 | 6 | 369,340 | 32,661 |
| 2011-06-01 | 0.5 | 6 | 12 | 168,683 | 338,072 |
| 2011-03-01 | 0.6833 | 41 | 60 | 310,542 | 454,445 |
| 2010-12-01 | 5.0 | 15 | 3 | 31,089 | 13,992 |
| 2010-09-01 | 5.5 | 22 | 4 | 294,819 | 2,581 |
| 2010-06-01 | 2.6667 | 8 | 3 | 3,424 | 1,837 |
| 2010-03-01 | 0.7692 | 20 | 26 | 124,866 | 95,121 |
| 2009-12-01 | 3.2 | 16 | 5 | 55,986 | 22,054 |
| 2009-09-01 | 2.4444 | 22 | 9 | 323,288 | 4,566 |
| 2009-06-01 | 3.6667 | 11 | 3 | 7,701 | 5,582 |
| 2009-03-01 | 0.9545 | 21 | 22 | 168,685 | 120,891 |
| 2008-12-01 | 6.5 | 13 | 2 | 58,000 | 20,000 |
| 2008-09-01 | 0.9512 | 39 | 41 | 528,075 | 205,946 |
| 2008-06-01 | 0.6364 | 7 | 11 | 171,700 | 293,339 |
| 2008-03-01 | 0.4737 | 9 | 19 | 137,000 | 84,127 |
| 2007-12-01 | 0.2537 | 17 | 67 | 142,609 | 533,119 |
| 2007-09-01 | 0.3571 | 5 | 14 | 215,383 | 38,191 |
| 2007-06-01 | 0.3953 | 17 | 43 | 335,660 | 1,055,312 |
| 2007-03-01 | 0.8571 | 30 | 35 | 601,847 | 632,666 |
| 2006-12-01 | 0.2414 | 21 | 87 | 173,186 | 722,600 |
| 2006-09-01 | 0.381 | 8 | 21 | 445,000 | 175,808 |
| 2006-06-01 | 0.3333 | 3 | 9 | 99,000 | 228,617 |
| 2006-03-01 | 0.5938 | 19 | 32 | 303,525 | 381,390 |
| 2005-12-01 | 0.3134 | 21 | 67 | 514,702 | 1,111,248 |
| 2005-09-01 | 2.2222 | 20 | 9 | 472,350 | 170,368 |
| 2005-06-01 | 0.2 | 1 | 5 | 750.00 | 22,774 |
| 2005-03-01 | 0.6333 | 19 | 30 | 414,004 | 282,029 |
| 2004-12-01 | 0.2604 | 25 | 96 | 347,032 | 989,230 |
| 2004-09-01 | 0.6667 | 4 | 6 | 283,526 | 43,196 |
| 2004-06-01 | 0.1053 | 2 | 19 | 9,500 | 249,650 |
| 2004-03-01 | 0.3667 | 11 | 30 | 280,800 | 417,183 |
| 2003-12-01 | 0.4595 | 17 | 37 | 249,798 | 265,626 |
| 2003-09-01 | 2.4286 | 51 | 21 | 1,579,290 | 323,211 |
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 | |
| Edward Flynn | Vice President - Employer Services, Sales and Marketing | Profile | |
| Douglas Politi | President - Added Value Services | Profile | |
| Maria Black | President - Employer Services - TotalSource | Profile | |
| Michael Eberhard | Vice President Treasurer | Profile | |
| Thomas Perrotti | President - Major Account Services and ADP Canada | Profile | |
| Christian Greyenbuhl | Vice President Investor Relations | Profile | |
| Kathleen Winters | CFO, Corporate Vice President | Profile | |
| Joseph DeSilva | President Sales | Profile | |
| Deborah Dyson | Vice President - Client Experience and Continuous Improvement | Profile | |
| Mark Benjamin | President of Global Enterprise Solutions | Profile | |
| Dorothy Wisniowski | Vice President Assistant Corporate Secretary | Profile | |
| John Ayala | Vice President - Client Experience and Continuous Improvement | Profile | |
| Jan Siegmund | CFO | Profile | |
| John Jones | Independent Director | Profile | |
| Richard Clark | Independent Director | Profile | |
| William Ready | Director | Profile | |
| Michael Gregoire | Director | Profile | |
| Linda Gooden | Independent Director | Profile | |
| Ellen Alemany | Independent Director | Profile | |
| Scott Powers | Director | Profile | |
| Robert Hubbard | Independent Director | Profile | |
| Thomas Lynch | Director | Profile | |
| Francine Katsoudas | Director | Profile | |
| Peter Bisson | Director | Profile | |
| Eric Fast | Independent Director | Profile | |
| Sandra Wijnberg | Director | Profile | |
| Glenn Hubbard | Independent Director | Profile | |
| Michael Bonarti | VP, General Counsel and Secretary | Profile | |
| Stuart Sackman | VP of Global Product and Technology | Profile | |
| David Kwon | Chief VP | Profile | |
| Max Li | Global Officer | Profile | |
| Brock Albinson | Principal Accounting Officer and Corporate Controller | Profile | |
| Dermot OBrien | Chief HR Officer | Profile | |
| Joseph Timko | Chief Strategy Officer | Profile | |
| Vipul Nagrath | Global Officer | Profile | |
| Donald Weinstein | Chief Strategy Officer | Profile | |
| Don McGuire | Chief Officer | Profile | |
| Allyce Hackmann | Vice Communications | Profile | |
| Gus Blanchard | Chief 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.
| Last Reported | Projected for Next Year | ||
| Return On Tangible Assets | 0.08 | 0.1 | |
| Return On Capital Employed | 0.49 | 0.52 | |
| Return On Assets | 0.08 | 0.08 | |
| Return On Equity | 0.88 | 0.92 |
The data published in Automatic Data's official financial statements usually reflect Automatic Data's business processes, product offerings, services, and other fundamental events. But there are other numbers, ratios, or fundamental indicators derived from these statements that are easier to understand and visualize within the underlying realities that drive quantitative information of Automatic Data Processing. For example, before you start analyzing numbers published by Automatic accountants, it's critical to develop an understanding of what Automatic Data's liquidity, profitability, and earnings quality are in the context of the Professional Services space in which it operates.
Please note, the presentation of Automatic Data's financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Automatic Data's management is honest, while the outside auditors are strict and uncompromising. Whatever the case, the imprecision that can be found in Automatic Data's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Automatic Data Processing. Please utilize our Beneish M Score to check the likelihood of Automatic Data's management manipulating its earnings.
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 | 273K | |
| Revenue Per Executive | 430M | |
| Net Income Per Employee | 54.2K | |
| Net Income Per Executive | 85.3M |
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 unemployment. Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.092 | Dividend Share 5.15 | Earnings Share 8.59 | Revenue Per Share 45.09 | Quarterly Revenue Growth 0.063 |
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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.