Automatic Data (UK) Performance

0HJI Stock   306.16  1.06  0.35%   
Automatic Data holds a performance score of 6 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 4.25, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Automatic Data will likely underperform. Use Automatic Data total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to analyze future returns on Automatic Data.

Risk-Adjusted Performance

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Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Automatic Data unveiled solid returns over the last few months and may actually be approaching a breakup point. ...more
Forward Dividend Yield
0.0002
Payout Ratio
0.6134
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JavaScript chart by amCharts 3.21.15Automatic Data Processing Automatic Data Processing Dividend Benchmark Dow Jones Industrial
1
Automatic Data Processing Corp VP sells shares worth 597,094 - Investing.com
01/08/2025
2
Independence Bank of Kentucky Boosts Stock Position in Automatic Data Processing, Inc. - MarketBeat
02/03/2025
3
Automatic Data Processing Stock Thrives Amid Market Changes - Evrim Aac
02/13/2025
4
1000 Invested In Automatic Data Processing 10 Years Ago Would Be Worth This Much Today - Benzinga
02/21/2025
5
ADP 77K, Far Lower than Expected Tariff News Forthcoming - Zacks Investment Research
03/05/2025
6
TD Cowen Adjusts Automatic Data Processings Price Target to 302 From 294, Keeps Hold Rating - MarketScreener
04/02/2025
Begin Period Cash Flow8.8 B
  

Automatic Data Relative Risk vs. Return Landscape

If you would invest  29,023  in Automatic Data Processing on January 3, 2025 and sell it today you would earn a total of  1,593  from holding Automatic Data Processing or generate 5.49% return on investment over 90 days. Automatic Data Processing is generating 2.0866% of daily returns and assumes 25.8341% volatility on return distribution over the 90 days horizon. Simply put, majority of traded equity instruments are less risky than Automatic on the basis of their historical return distribution, and most equity instruments are likely to generate higher returns than the company over the next 90 trading days.
  Expected Return   
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       Risk  
Assuming the 90 days trading horizon Automatic Data is expected to generate 29.45 times more return on investment than the market. However, the company is 29.45 times more volatile than its market benchmark. It trades about 0.08 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.02 per unit of 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 = 0.0808

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Estimated Market Risk

 25.83
  actual daily
96
96% of assets are less volatile

Expected Return

 2.09
  actual daily
42
58% of assets have higher returns

Risk-Adjusted Return

 0.08
  actual daily
6
94% of assets perform better
Based on monthly moving average Automatic Data is performing at about 6% 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 Equity0.84
Return On Asset0.0546
Profit Margin0.20 %
Operating Margin0.26 %
Current Valuation126.73 B
Shares Outstanding437.73 M
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Price To Sales6.65 X
Revenue19.2 B
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Gross Profit9.6 B
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EBITDA5.58 B
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Net Income3.75 B
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Total Debt3.8 B
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Book Value Per Share12.48 X
Cash Flow From Operations4.16 B
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Earnings Per Share6.77 X
Total Asset54.36 B
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Retained Earnings23.62 B
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About Automatic Data Performance

Assessing Automatic Data's fundamental ratios provides investors with valuable insights into Automatic Data's financial health and overall profitability. This information is crucial for making informed investment decisions. A high ROA would indicate that the Automatic Data is effectively leveraging its assets and equity to generate significant profits, making it an appealing investment. Conversely, low Return on Assets could signal underlying management issues in assets and equity, indicating a necessity for operational refinements. Please also refer to our technical analysis and fundamental analysis pages.
Automatic Data is entity of United Kingdom. It is traded as Stock on LSE exchange.

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 is way too risky over 90 days horizon
Automatic Data appears to be risky and price may revert if volatility continues
Over 85.0% of the company shares are owned by institutions such as pension funds
Latest headline from news.google.com: TD Cowen Adjusts Automatic Data Processings Price Target to 302 From 294, Keeps Hold Rating - MarketScreener
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.
It's essential to remember that evaluating Automatic Data's stock performance is not an exact science, and many factors can impact Automatic Data's stock market price. Therefore, it's also important to diversify your portfolio and not rely solely on one company or stock for your investments.

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.

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