Automatic Financial Statements From 2010 to 2024

ADP Stock  EUR 289.95  1.70  0.59%   
Automatic Data financial statements provide useful quarterly and yearly information to potential Automatic Data Processing investors about the company's current and past financial position, as well as its overall management performance and changes in financial position over time. Historical trend examination of various income statement and balance sheet accounts found on Automatic Data financial statements helps investors assess Automatic Data's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Automatic Data's valuation are summarized below:
Automatic Data Processing does not presently have any fundamental signals for analysis.
Check Automatic Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers, such as , as well as many indicators such as . Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
  
This module can also supplement various Automatic Data Technical models . Check out the analysis of Automatic Data Correlation against competitors.

Automatic Data Processing Company Current Valuation Analysis

Automatic Data's Enterprise Value is a firm valuation proxy that approximates the current market value of a company. It is typically used to determine the takeover or merger price of a firm. Unlike Market Cap, this measure takes into account the entire liquid asset, outstanding debt, and exotic equity instruments that the company has on its balance sheet. When a takeover occurs, the parent company will have to assume the target company's liabilities but will take possession of all cash and cash equivalents.

Enterprise Value

 = 

Market Cap + Debt

-

Cash

More About Current Valuation | All Equity Analysis

Current Automatic Data Current Valuation

    
  104.54 B  
Most of Automatic Data's fundamental indicators, such as Current Valuation, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Automatic Data Processing is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Enterprise Value can be a useful tool to compare companies with different capital structures. Long term liability and current cash or cash equivalents can have a huge impact on market valuation of a given company.
Competition

In accordance with the recently published financial statements, Automatic Data Processing has a Current Valuation of 104.54 B. This is much higher than that of the Industrials sector and significantly higher than that of the Business Services industry. The current valuation for all Germany stocks is significantly lower than that of the firm.

Automatic Data Processing Fundamental Drivers 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.

About Automatic Data Financial Statements

Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's revenue or net income, to determine how well the company is positioned to perform in the future. Although Automatic Data investors may analyze each financial statement separately, they are all interrelated. For example, changes in Automatic Data's assets and liabilities are reflected in the revenues and expenses on Automatic Data's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Automatic Data Processing. Please read more on our technical analysis and fundamental analysis pages.
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.

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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 the analysis of Automatic Data Correlation against competitors.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.