Automatic Data (Brazil) Top Management

ADPR34 Stock  BRL 74.40  0.06  0.08%   
Automatic Data employs about 60 K people. The company is managed by 30 executives with a total tenure of roughly 220 years, averaging almost 7.0 years of service per executive, having 2000.0 employees per reported executive. Analysis of Automatic Data's management performance can provide insight into the company performance.
Carlos Rodriguez  CEO
President, Chief Executive Officer, Director
  
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 nation.

Automatic Data Management Team Effectiveness

The company has return on total asset (ROA) of 0.0458 % which means that it generated a profit of $0.0458 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.783 %, meaning that it generated $0.783 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.

Automatic Data Workforce Comparison

Automatic Data Processing is number one stock in number of employees category among its peers. The total workforce of Staffing & Employment Services industry is presently estimated at about 204,429. Automatic Data totals roughly 60,000 in number of employees claiming about 29% of equities listed under Staffing & Employment Services industry.
The company has Profit Margin (PM) of 0.18 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.24 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.24.

Automatic Data Processing Benchmark Summation

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Automatic Data Processing Price Series Summation is a cross summation of Automatic Data price series and its benchmark/peer.

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 RodriguezPresident, Chief Executive Officer, DirectorProfile
Kathleen WintersChief Financial OfficerProfile
David KwonChief VPProfile
Douglas PolitiPresident - Compliance SolutionsProfile
Maria BlackPresident - Worldwide Sales and MarketingProfile
Brock AlbinsonCorporate Controller, Principal Accounting OfficerProfile
Dermot OBrienChief Transformation OfficerProfile
Laura BrownPresident Major Account Services and ADP CanadaProfile
John JonesNon-Executive Independent Chairman of the BoardProfile
Richard ClarkIndependent DirectorProfile
William ReadyIndependent DirectorProfile
Brian MichaudPresident - Human Resources OutsourcingProfile
Michael EberhardVice President TreasurerProfile
Michael BonartiCorporate Vice President General Counsel, SecretaryProfile
Vipul NagrathGlobal OfficerProfile
Nazzic KeeneIndependent DirectorProfile
Donald WeinsteinCorporate Vice President - Global Product and TechnologyProfile
Christian GreyenbuhlVP RelationProfile
Joseph DeSilvaPresident - Small Business Services, Retirement Services and Insurance ServicesProfile
Scott PowersIndependent DirectorProfile
Thomas LynchIndependent DirectorProfile
Deborah DysonPresident - National Account ServicesProfile
Francine KatsoudasIndependent DirectorProfile
Don McGuirePresident - Employer Services InternationalProfile
Peter BissonIndependent DirectorProfile
Matthew LevinChief Strategy OfficerProfile
Sandra WijnbergIndependent DirectorProfile
John AyalaPresident - Employer Services North AmericaProfile
Sreeni kutamChief Human Resource OfficerProfile
Stuart SackmanCorporate Vice President - Global Shared ServicesProfile

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 DTDRN operates under Staffing Employment Services classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 58000 people.
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. 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 Employee267.4K
Revenue Per Executive534.9M
Net Income Per Employee49.1K
Net Income Per Executive98.3M

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.
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Content Syndication
Quickly integrate customizable finance content to your own investment portal