Automatic Data Financials
| ADPR34 Stock | BRL 74.40 0.06 0.08% |
Automatic |
Understanding current and past Automatic Data Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Automatic Data's financial statements are interrelated, with each one affecting the others. For example, an increase in Automatic Data's assets may result in an increase in income on the income statement.
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 Stock Summary
Automatic Data competes with Verizon Communications, Fidelity National, Microchip Technology, GP Investments, and Take Two. 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.| Instrument | Brazil Stock View All |
| Exchange | Sao Paulo Exchange |
| Business Address | One ADP Boulevard, |
| Sector | Industrials |
| Industry | Staffing & Employment Services |
| Benchmark | Dow Jones Industrial |
| Website | www.adp.com |
| Phone | 973 974 5000 |
| Currency | BRL - Brazilian Real |
You should never invest in Automatic Data without having analyzed its financial statements. Do not rely on someone else's analysis or guesses about the future performance of Automatic Stock, because this is throwing your money away. Analyzing the key information contained in Automatic Data's financial statements can give you an edge over other investors and help to ensure that your investments perform well for you.
Automatic Data Key Financial Ratios
Automatic Data's financial ratios allow both analysts and investors to convert raw data from Automatic Data's financial statements into concise, actionable information that can be used to evaluate the performance of Automatic Data over time and compare it to other companies across industries.| Return On Equity | 0.78 | |||
| Return On Asset | 0.0458 | |||
| Beta | 0.83 | |||
| Z Score | 99.0 | |||
| Last Dividend Paid | 4.37 |
Automatic Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Automatic Data's current stock value. Our valuation model uses many indicators to compare Automatic Data value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Automatic Data competition to find correlations between indicators driving Automatic Data's intrinsic value. More Info.Automatic Data Processing is number one stock in return on equity category among its peers. It also is number one stock in return on asset category among its peers reporting about 0.06 of Return On Asset per Return On Equity. The ratio of Return On Equity to Return On Asset for Automatic Data Processing is roughly 17.10 . Comparative valuation analysis is a catch-all model that can be used if you cannot value Automatic Data by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Automatic Data's Stock. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.Automatic Data Processing Systematic Risk
Automatic Data's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Automatic Data volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Automatic Data Processing correlated with the market. If Beta is less than 0 Automatic Data generally moves in the opposite direction as compared to the market. If Automatic Data Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Automatic Data Processing is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Automatic Data is generally in the same direction as the market. If Beta > 1 Automatic Data moves generally in the same direction as, but more than the movement of the benchmark.
Automatic Data Thematic Clasifications
Automatic Data Processing is part of Data Storage investing theme. If you are a theme-oriented, socially responsible, and at the same time, a result-driven investor, you can align your investing habits with your values without jeopardizing your expectations about returns. You can easily create an optimal portfolio of stocks, ETFs, funds, or cryptocurrencies based on a specific theme of your liking. Data Storage. Companies making data storages or providing data storage services
This theme covers Data Storage. Companies making data storages or providing data storage services. Get More Thematic Ideas
| Data Storage | View |
Automatic Data February 2, 2025 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Automatic Data help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Automatic Data Processing. We use our internally-developed statistical techniques to arrive at the intrinsic value of Automatic Data Processing based on widely used predictive technical indicators. In general, we focus on analyzing Automatic Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Automatic Data's daily price indicators and compare them against related drivers.
| Downside Deviation | 1.34 | |||
| Information Ratio | 0.0257 | |||
| Maximum Drawdown | 7.26 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 2.25 |
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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