Automatic Data (Brazil) Today
| ADPR34 Stock | BRL 54.20 2.92 5.11% |
PerformanceWeakest
| Odds Of DistressLow
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Automatic Data is trading at 54.20 as of the 29th of January 2026, a 5.11% down since the beginning of the trading day. The stock's open price was 57.12. Automatic Data has less than a 10 % chance of experiencing some financial distress in the next two years of operation, but has generated negative returns over the last 90 days. The performance scores are derived for the period starting the 31st of October 2025 and ending today, the 29th of January 2026. Click here to learn more.
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. The company has 9.94 B outstanding shares. More on Automatic Data Processing
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Automatic Stock Highlights
Most reasonable investors view market volatility as an opportunity to invest at a favorable price or to sell short against a bearish trend. Automatic Data's investment highlights are automatically generated signals that are significant enough to either complement your investing judgment regarding Automatic Data or challenge it. These highlights can help you better understand the position you are entering and avoid costly mistakes.
| CEO | Carlos Rodriguez |
| Thematic Idea | Data Storage (View all Themes) |
| Business Concentration | Data Storage, Staffing & Employment Services, Industrials (View all Sectors) |
Automatic Data Processing (ADPR34) is traded on Sao Paulo Exchange in Brazil and employs 60,000 people. The company currently falls under 'Mega-Cap' category with a current market capitalization of 495.21 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Automatic Data's market, we take the total number of its shares issued and multiply it by Automatic Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities. Automatic Data Processing operates under Industrials sector and is part of Staffing & Employment Services industry. The entity has 9.94 B outstanding shares.
Automatic Data Processing has accumulated about 1.61 B in cash with 3.1 B of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 1.88.
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Automatic Data Processing Risk Profiles
Although Automatic Data's alpha and beta are two of the key measurements used to evaluate Automatic Data's performance over the market, the standard measures of volatility play an important role as well.
| Mean Deviation | 0.7825 | |||
| Standard Deviation | 1.34 | |||
| Variance | 1.79 | |||
| Risk Adjusted Performance | (0.13) |
Automatic Stock Against Markets
Automatic Stock Analysis Notes
The company has Price/Earnings To Growth (PEG) ratio of 2.98. Automatic Data Processing last dividend was issued on the 9th of March 2023. The entity had 1:12 split on the 28th of November 2022. 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. For more info on Automatic Data Processing please contact Carlos Rodriguez at 973 974 5000 or go to https://www.adp.com.Automatic Data Processing Investment Alerts
Many investors view ongoing market volatility as an opportunity to purchase more stocks at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. Automatic Data's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding Automatic Data Processing or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
| Automatic Data generated a negative expected return over the last 90 days |
Automatic Data Thematic Classifications
In addition to having Automatic Data stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Data StorageData Storage |
Automatic Market Capitalization
The company currently falls under 'Mega-Cap' category with a current market capitalization of 495.21 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Automatic Data's market, we take the total number of its shares issued and multiply it by Automatic Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Automatic Profitablity
Automatic Data's profitability indicators refer to fundamental financial ratios that showcase Automatic Data's ability to generate income relative to its revenue or operating costs. If, let's say, Automatic Data is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Automatic Data's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Automatic Data's profitability requires more research than a typical breakdown of Automatic Data's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
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. Technical Drivers
As of the 29th of January, Automatic Data shows the Risk Adjusted Performance of (0.13), mean deviation of 0.7825, and Standard Deviation of 1.34. Automatic Data Processing technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.Automatic Data Processing Price Movement Analysis
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Automatic Data Processing Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Automatic Data price patterns.
Automatic Data Predictive Daily Indicators
Automatic Data intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Automatic Data stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Automatic Data Forecast Models
Automatic Data's time-series forecasting models are one of many Automatic Data's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Automatic Data's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
Our tools can tell you how much better you can do entering a position in Automatic Data without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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| All Next | Launch Module |
Automatic Data Corporate Management
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.
| David Kwon | Chief VP | Profile | |
| Douglas Politi | President - Compliance Solutions | Profile | |
| Maria Black | President - Worldwide Sales and Marketing | Profile | |
| Brock Albinson | Corporate Controller, Principal Accounting Officer | Profile | |
| Dermot OBrien | Chief Transformation Officer | Profile | |
| Laura Brown | President Major Account Services and ADP Canada | Profile | |
| John Jones | Non-Executive Independent Chairman of the Board | Profile |
Additional Information and Resources on Investing in Automatic Stock
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock: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. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.