Automatic Data Financials

ADP Stock  EUR 284.05  4.20  1.46%   
We suggest to use Automatic Data Processing fundamental analysis to see if markets are presently undervaluing or overvaluing the company. Put another way, you can use it to find out if Automatic Data Processing is indeed mispriced or if you can make any profits on it by purchasing it and then waiting for the market to recognize its mistake and reprise the security. We were able to interpolate thirty-five available fundamental indicators for Automatic Data Processing, which can be compared to its peers. The stock experiences a somewhat bearish sentiment, but the market may correct it shortly. Check odds of Automatic Data to be traded at €275.53 in 90 days.
  
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.

Automatic Data Stock Summary

Automatic Data competes with Compagnie Plastic, Qurate Retail, EAGLE MATERIALS, APPLIED MATERIALS, and Fast Retailing. Automatic Data Processing, Inc. provides business process outsourcing services worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOM DATA is traded on Frankfurt Stock Exchange in Germany.
Foreign Associates
InstrumentGermany Stock View All
ExchangeFrankfurt Exchange
ISINUS0530151036
Business AddressOne ADP Boulevard,
SectorIndustrials
IndustryBusiness Services
BenchmarkDow Jones Industrial
Websitewww.adp.com
Phone973 974 5000
CurrencyEUR - Euro
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

There are many critical financial ratios that Automatic Data's investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Automatic Data Processing reports annually and quarterly.

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 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Automatic Data's earnings, one of the primary drivers of an investment's value.

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
Data StorageView
This theme covers Data Storage. Companies making data storages or providing data storage services. Get More Thematic Ideas

Automatic Data November 22, 2024 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.

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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