Automatic Data Valuation
| ADP Stock | EUR 284.05 4.20 1.46% |
At this time, the firm appears to be undervalued. Automatic Data Processing shows a prevailing Real Value of €325.09 per share. The current price of the firm is €284.05. Our model approximates the value of Automatic Data Processing from analyzing the firm fundamentals such as Return On Equity of 0.78, profit margin of 0.18 %, and Current Valuation of 104.54 B as well as examining its technical indicators and probability of bankruptcy.
Undervalued
Today
Please note that Automatic Data's price fluctuation is very steady at this time. Calculation of the real value of Automatic Data Processing is based on 3 months time horizon. Increasing Automatic Data's time horizon generally increases the accuracy of value calculation and significantly improves the predictive power of the methodology used.
The fair value of the Automatic stock is determined by what a typical buyer is willing to pay for full or partial control of Automatic Data Processing. Since Automatic Data is currently traded on the exchange, buyers and sellers on that exchange determine the market value of Automatic Stock. However, Automatic Data's intrinsic value may or may not be the same as its current market price, in which case there is an opportunity to profit from the mispricing, assuming the market price will eventually merge with its intrinsic value. | Historical | Market 284.05 | Real 325.09 | Hype 284.05 | Naive 287.93 |
The real value of Automatic Stock, also known as its intrinsic value, is the underlying worth of Automatic Data Processing Company, which is reflected in its stock price. It is based on Automatic Data's financial performance, growth prospects, management team, or industry conditions. The intrinsic value of Automatic Data's stock can be calculated using various methods such as discounted cash flow analysis, price-to-earnings ratio, or price-to-book ratio. That value may differ from its current market price, which is determined by supply and demand factors such as investor sentiment, market trends, or news.
Estimating the potential upside or downside of Automatic Data Processing helps investors to forecast how Automatic stock's addition to their portfolios will impact the overall performance. We also use other valuation drivers to help us estimate the true value of Automatic Data more accurately as focusing exclusively on Automatic Data's fundamentals will not take into account other important factors: Automatic Data Total Value Analysis
Automatic Data Processing is presently estimated to have takeover price of 104.54 B with market capitalization of 85.75 B, debt of 2.99 B, and cash on hands of 1.95 B. Please note that takeover price may be misleading and is a subject to mistakes in financial statements. We encourage investors to thoroughly investigate all of the Automatic Data fundamentals before making investing decisions based on enterprise value of the company| Takeover Price | Market Cap | Debt Obligations | Cash |
104.54 B | 85.75 B | 2.99 B | 1.95 B |
Automatic Data Investor Information
About 84.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.95. Automatic Data Processing recorded earning per share (EPS) of 7.08. The entity last dividend was issued on the 9th of March 2023. Based on the key measurements obtained from Automatic Data's financial statements, Automatic Data Processing is not in a good financial situation at the moment. It has a very high risk of going through financial straits in December.Automatic Data Asset Utilization
The asset utilization indicator refers to the revenue earned for every dollar of assets a company currently reports. Automatic Data has an asset utilization ratio of 25.44 percent. This implies that the Company is making €0.25 for each dollar of assets. An increasing asset utilization means that Automatic Data Processing is more efficient with each dollar of assets it utilizes for everyday operations.Automatic Data Ownership Allocation
Automatic Data holds a total of 414.35 Million outstanding shares. The majority of Automatic Data Processing outstanding shares are owned by other corporate entities. These outside corporations are usually referred to as non-private investors looking to acquire positions in Automatic Data Processing to benefit from reduced commissions. Consequently, institutional investors are subject to a different set of regulations than regular investors in Automatic Data. Please pay attention to any change in the institutional holdings of Automatic Data Processing as this could imply that something significant has changed or is about to change at the company. Please note that no matter how many assets the company secures, if the real value of the firm is less than the current market value, you may not be able to make money on it.Automatic Data Profitability Analysis
The company reported the revenue of 16.05 B. Net Income was 2.95 B with profit before overhead, payroll, taxes, and interest of 7.45 B.Please note that valuation analysis is one of the essential comprehensive assessments in business. It evaluates Automatic Data's worth, which you can determine by considering its current assets, liabilities and future cash flows. The investors' valuation analysis is an important metric that will give you a perspective on different companies. It helps you know the worth of the potential investment in Automatic Data and how it compares across the competition.
About Automatic Data Valuation
The stock valuation mechanism determines Automatic Data's current worth on a weekly basis. Our valuation model uses a comparative analysis of Automatic Data. We calculate exposure to Automatic Data's market risk, different technical and fundamental indicators, and relevant financial multiples and ratios and then compare them to those of Automatic Data's related companies.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.
8 Steps to conduct Automatic Data's Valuation Analysis
Company's valuation is the process of determining the worth of any company in monetary terms. It estimates Automatic Data's potential worth based on factors such as financial performance, market conditions, growth prospects, and overall economic environment. The result of company valuation is a single number representing a Company's current market value. This value can be used as a benchmark for various financial transactions such as mergers and acquisitions, initial public offerings (IPOs), or private equity investments. To conduct Automatic Data's valuation analysis, follow these 8 steps:- Gather financial information: Obtain Automatic Data's financial statements, including balance sheets, income statements, and cash flow statements.
- Determine Automatic Data's revenue streams: Identify Automatic Data's primary sources of revenue, including products or services offered, target markets, and pricing strategies.
- Analyze market data: Research Automatic Data's industry and market trends, including the size of the market, growth rate, and competition.
- Establish Automatic Data's growth potential: Evaluate Automatic Data's management, business model, and growth potential.
- Determine Automatic Data's financial performance: Analyze its financial statements to assess its historical performance and future potential.
- Choose a valuation method: Consider the Company's specific circumstances and choose an appropriate valuation method, such as the discounted cash flow (DCF) or comparable analysis method.
- Calculate the value: Apply the chosen valuation method to the financial information and market data to calculate Automatic Data's estimated value.
- Review and adjust: Review the results and make necessary adjustments, considering any relevant factors that may have been missed or overlooked.
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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