Automatic Data Financials

ADP Stock  EUR 227.65  4.75  2.13%   
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 data for sixteen available fundamental indicators for Automatic Data Processing, which can be compared to its peers. The stock experiences an unexpected upward trend. Watch out for market signals. Check odds of Automatic Data to be traded at €273.18 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.
Please note, the imprecision that can be found in Automatic Data's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Automatic Data Processing. Check Automatic Data's Beneish M Score to see the likelihood of Automatic Data's management manipulating its earnings.
Foreign Associates
InstrumentGermany Stock View All
ExchangeMunich Exchange
SectorOther
IndustryOther
BenchmarkDow Jones Industrial
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

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.

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 rated below average in current valuation category among its peers. It is rated fifth in price to book category among its peers . The ratio of Current Valuation to Price To Book for Automatic Data Processing is about  2,485,995,165 . 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 January 12, 2026 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.

Additional 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.