Automatic Data Company Insiders

ADP Stock  USD 308.63  2.39  0.78%   
Slightly above 89 percent of Automatic Data's insiders are activelly selling. The analysis of insiders' sentiment of trading Automatic Data Processing stock suggests that quite a large number of insiders are panicking at this time. Automatic Data employs about 64 K people. The company is managed by 23 executives with a total tenure of roughly 73 years, averaging almost 3.0 years of service per executive, having 2782.61 employees per reported executive.
Carlos Rodriguez  CEO
CEO and President and Director
Maria Black  President
President - Employer Services - TotalSource

Insider Sentiment 11

 Mostly Selling

 
Selling
 
Buying

Latest Trades

2025-05-12Jefferson ShreveDisposed @ 309.38
2025-04-23Ro KhannaDisposed @ 293.95
2025-04-15Ro KhannaAcquired @ 298.06
2025-04-10Christopher D'ambrosioDisposed 478 @ 293.14View
2025-04-01Brian L MichaudDisposed 1500 @ 305.38View
2025-03-10Christopher D'ambrosioDisposed 473 @ 306.2View
2025-02-03Jonathan S LehbergerDisposed 2324 @ 303.3View
2025-01-13David FoskettDisposed 1067 @ 286.15View
2025-01-06David FoskettDisposed 1004 @ 289.29View
2025-01-03Maria BlackDisposed 721 @ 291.59View
2025-01-02Brian L MichaudDisposed 362 @ 293.83View
2024-11-06Sreenivasa KutamDisposed 38975 @ 300View
2024-09-24C. Scott FranklinAcquired @ 276.64
2024-09-06Carlos A RodriguezDisposed 9203 @ 269.45View
2024-09-04John JamesDisposed @ 275.22
2024-09-03Maria BlackDisposed 19147 @ 274.38View
2024-08-26Michael A BonartiDisposed 26442 @ 270.96View
2024-08-23David KwonDisposed 846 @ 270.6View
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.

Acquired vs Disposed

Filed vs Not Filed

Insider sentiment refers to the collective sentiment or feeling of Automatic Data's insiders - typically its officers, directors, and beneficial owners holding more than a certain percentage of the company's stock - about the future prospects of Automatic Data Processing. This sentiment is often gauged based on the trading activities of these insiders. If insiders are purchasing more shares of their own company, it may be interpreted as a bullish sentiment, indicating that they believe Automatic Data's stock will rise in value. Conversely, if insiders are selling shares, it might be seen as bearish, suggesting they expect the stock price to drop.
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 signals in unemployment.

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 64000 employees by August 2025.
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid

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.
2025-07-04Representative Scott FranklinAcquired Under $15KVerify
2025-06-23Representative Jefferson ShreveAcquired $50K to $100KVerify
2023-11-15Senator Tommy TubervilleAcquired Under $15KVerify
2023-10-20Senator Pete RickettsAcquired $50K to $100KVerify
2016-03-02Senator John HoevenAcquired $50K to $100KVerify

Automatic Data Management Team Effectiveness

The company has Return on Asset of 0.0557 % which means that on every $100 spent on assets, it made $0.0557 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.7629 %, implying that it generated $0.7629 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 07/26/2025, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.51. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 07/26/2025, Liabilities And Stockholders Equity is likely to grow to about 65.6 B, while Non Current Liabilities Total is likely to drop slightly above 4.8 B.

Automatic Data Quarterly Income Before Tax

1.62 Billion

As of 07/26/2025, Common Stock Shares Outstanding is likely to grow to about 431.7 M. Also, Net Income Applicable To Common Shares is likely to grow to about 4.1 B

Automatic Data Workforce Comparison

Automatic Data Processing is rated fifth in number of employees category among its peers. The total workforce of Industrials industry is presently estimated at about 639,873. Automatic Data holds roughly 64,000 in number of employees claiming about 10% of equities under Industrials industry.

Automatic Data Profit Margins

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 0.3 %, which entails that for every 100 dollars of revenue, it generated $0.3 of operating income.
Current ValueLast YearChange From Last Year 10 Year Trend
Gross Profit Margin0.550.52
Notably Up
Slightly volatile
Net Profit Margin0.110.18
Way Down
Slightly volatile
Operating Profit Margin0.150.23
Way Down
Slightly volatile
Pretax Profit Margin0.160.23
Way Down
Slightly volatile
Return On Assets0.08040.0794
Fairly Up
Slightly volatile
Return On Equity0.780.74
Notably Up
Slightly volatile

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.
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Buy/Sell Ratio# Purchases Trades# Sales TradesTotal Shares PurchasedTotal Shares Sold
2025-09-01
2.0
2
1
 84.86 
 206.00 
2025-06-01
0.4444
4
9
 1,197 
 5,937 
2025-03-01
0.4444
20
45
 60,799 
 135,152 
2024-12-01
0.9412
16
17
 58,424 
 86,631 
2024-09-01
0.3854
37
96
 476,328 
 720,032 
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
0.5217
60
115
 435,882 
 619,553 
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
0.7465
53
71
 680,838 
 336,564 
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
0.7121
47
66
 896,220 
 365,692 
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
0.4359
51
117
 930,816 
 559,258 
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
0.7895
45
57
 611,664 
 202,854 
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 RodriguezCEO and President and DirectorProfile
Christian GreyenbuhlVice President Investor RelationsProfile
Maria BlackPresident - Employer Services - TotalSourceProfile
David FoskettPresident SalesProfile
Sreenivasa KutamPresident InnovationProfile
John AyalaVice President - Client Experience and Continuous ImprovementProfile
Michael BonartiVP, General Counsel and SecretaryProfile
David JDChief VPProfile
M HeronManaging OperationsProfile
Jonathan LehbergerCorporate OfficerProfile
Matthew CFAVice RelationsProfile
David KwonChief VPProfile
Joseph DeSilvaExecutive OperationsProfile
Don McGuireExecutive OfficerProfile
Max LiGlobal OfficerProfile
Brock AlbinsonPrincipal Accounting Officer and Corporate ControllerProfile
Allyce HackmannVice CommunicationsProfile
Gus BlanchardChief OfficerProfile
Paul BolandChief OfficerProfile
Michael JDChief OfficerProfile
Vipul NagrathGlobal OfficerProfile
Donald WeinsteinChief Strategy OfficerProfile
Peter HadleyChief OfficerProfile

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 ReportedProjected for Next Year
Return On Tangible Assets 0.09  0.10 
Return On Capital Employed 0.48  0.51 
Return On Assets 0.08  0.08 
Return On Equity 0.74  0.78 

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 Employee300K
Revenue Per Executive834.9M
Net Income Per Employee58.6K
Net Income Per Executive163.1M
Working Capital Per Employee7.2K
Working Capital Per Executive20.1M

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.