Automatic Data (Brazil) Performance
| ADPR34 Stock | BRL 74.00 0.31 0.42% |
Automatic Data has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Automatic Data are expected to decrease at a much lower rate. During the bear market, Automatic Data is likely to outperform the market. Automatic Data Processing right now shows a risk of 1.26%. Please confirm Automatic Data Processing treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to decide if Automatic Data Processing will be following its price patterns.
Risk-Adjusted Performance
7 of 100
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Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in February 2025. ...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 6,979 in Automatic Data Processing on October 26, 2024 and sell it today you would earn a total of 421.00 from holding Automatic Data Processing or generate 6.03% return on investment over 90 days. Automatic Data Processing is generating 0.1124% of daily returns and assumes 1.2593% volatility on return distribution over the 90 days horizon. Simply put, 11% of stocks are less volatile than Automatic, and 98% of all equity instruments are likely to generate higher returns than the company 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 = 0.0892
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Estimated Market Risk
| 1.26 actual daily | 11 89% of assets are more volatile |
Expected Return
| 0.11 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
| 0.09 actual daily | 7 93% of assets perform better |
Based on monthly moving average Automatic Data is performing at about 7% of its full potential. 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 it 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 | 586.65 B | |||
| Shares Outstanding | 9.94 B | |||
| Price To Earning | 31.55 X | |||
| Price To Book | 42.41 X | |||
| Price To Sales | 34.46 X | |||
| Revenue | 16.05 B | |||
| EBITDA | 4.4 B | |||
| Cash And Equivalents | 1.61 B | |||
| Cash Per Share | 1.88 X | |||
| Total Debt | 2.99 B | |||
| Debt To Equity | 0.41 % | |||
| Book Value Per Share | 3.60 X | |||
| Cash Flow From Operations | 3.1 B | |||
| Earnings Per Share | 1.63 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 cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOMATIC DTDRN operates under Staffing Employment Services classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 58000 people.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.Evaluating Automatic Data's performance can involve analyzing a variety of financial metrics and factors. Some of the key considerations to evaluate Automatic Data's stock performance include:- 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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