Automatic Data (Germany) Performance
| ADP Stock | EUR 267.55 0.19 0.07% |
The firm shows a Beta (market volatility) of 0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Automatic Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Automatic Data is expected to be smaller as well. At this point, Automatic Data Processing has a negative expected return of -0.0707%. Please make sure to confirm Automatic Data's maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Automatic Data Processing performance from the past will be repeated at some point in the near future.
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Over the last 90 days Automatic Data Processing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Automatic Data is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders. ...more
| Begin Period Cash Flow | 13.1 B | |
| Total Cashflows From Investing Activities | -7 B |
Automatic |
Automatic Data Relative Risk vs. Return Landscape
If you would invest 28,082 in Automatic Data Processing on December 17, 2024 and sell it today you would lose (1,327) from holding Automatic Data Processing or give up 4.73% of portfolio value over 90 days. Automatic Data Processing is currently producing negative expected returns and takes up 1.41% volatility of returns over 90 trading days. Put another way, 12% of traded stocks are less volatile than Automatic, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days. Expected Return |
| Risk |
Automatic Data Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automatic Data's investment risk. Standard deviation is the most common way to measure market volatility of stocks, such as Automatic Data Processing, and traders can use it to determine the average amount a Automatic Data's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = -0.0502
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | ADP |
Estimated Market Risk
| 1.41 actual daily | 12 88% of assets are more volatile |
Expected Return
| -0.07 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.05 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Automatic Data is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automatic Data by adding Automatic Data to a well-diversified portfolio.
Automatic Data Fundamentals Growth
Automatic Stock prices reflect investors' perceptions of the future prospects and financial health of Automatic Data, and Automatic Data fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Automatic Stock performance.
| Return On Equity | 0.78 | |||
| Return On Asset | 0.0458 | |||
| Profit Margin | 0.18 % | |||
| Operating Margin | 0.24 % | |||
| Current Valuation | 104.54 B | |||
| Shares Outstanding | 414.35 M | |||
| Price To Earning | 28.24 X | |||
| Price To Book | 41.97 X | |||
| Price To Sales | 5.97 X | |||
| Revenue | 16.05 B | |||
| EBITDA | 4.4 B | |||
| Cash And Equivalents | 1.95 B | |||
| Cash Per Share | 4.49 X | |||
| Total Debt | 2.99 B | |||
| Debt To Equity | 41.90 % | |||
| Book Value Per Share | 7.21 X | |||
| Cash Flow From Operations | 3.1 B | |||
| Earnings Per Share | 7.08 X | |||
| Total Asset | 63.07 B | |||
About Automatic Data Performance
By analyzing Automatic Data's fundamental ratios, stakeholders can gain valuable insights into Automatic Data's financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if Automatic Data has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if Automatic Data has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
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.Things to note about Automatic Data Processing performance evaluation
Checking the ongoing alerts about Automatic Data for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Automatic Data Processing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.| Automatic Data generated a negative expected return over the last 90 days | |
| Over 84.0% of the company shares are held by institutions such as insurance companies |
- Analyzing Automatic Data's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Automatic Data's stock is overvalued or undervalued compared to its peers.
- Examining Automatic Data's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Automatic Data's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Automatic Data's management team can help you assess the Company's leadership.
- Pay attention to analyst opinions and ratings of Automatic Data's stock. These opinions can provide insight into Automatic Data's potential for growth and whether the stock is currently undervalued or overvalued.
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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