Automatic Competitors

ADP Stock  USD 249.74  1.41  0.57%   
Automatic Data Processing competes with Broadridge Financial, BrightView Holdings, Franklin Covey, LegalZoom, and Mistras; as well as few others. The company runs under Professional Services sector within Industrials industry. Analyzing Automatic Data competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of Automatic Data to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Automatic Data Correlation with its peers.
You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Automatic Data competition on your existing holdings.
  
As of 03/28/2024, Return On Capital Employed is likely to grow to 0.52. Also, Return On Assets is likely to grow to 0.08. At this time, Automatic Data's Total Assets are relatively stable compared to the past year. As of 03/28/2024, Total Current Assets is likely to grow to about 50.9 B, while Other Current Assets are likely to drop slightly above 812.7 M.
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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automatic Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
247.71248.43249.15
Details
Intrinsic
Valuation
LowRealHigh
221.13221.85273.16
Details
Naive
Forecast
LowNextHigh
253.55254.27254.99
Details
21 Analysts
Consensus
LowTargetHigh
236.54259.93288.52
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Automatic Data. Your research has to be compared to or analyzed against Automatic Data's peers to derive any actionable benefits. When done correctly, Automatic Data's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Automatic Data Processing.

Automatic Data Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Automatic Data and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Automatic and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Automatic Data Processing does not affect the price movement of the other competitor.
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High positive correlations   
  
High negative correlations   

Risk-Adjusted Indicators

There is a big difference between Automatic Stock performing well and Automatic Data Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Automatic Data's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Cross Equities Net Income Analysis

Compare Automatic Data Processing and related stocks such as Broadridge Financial, BrightView Holdings, and Franklin Covey Net Income Over Time
Select Fundamental
201020112012201320142015201620172018201920202021202220232024
BR166.7 M123.6 M212.1 M263 M287.1 M307.5 M326.8 M427.9 M482.1 M462.5 M547.5 M539.1 M630.6 M725.2 M761.4 M
BV(63.2 M)(63.2 M)(63.2 M)(63.2 M)(40.6 M)(52.4 M)(14 M)(15.1 M)44.4 M(41.6 M)46.3 M14 M(7.7 M)(8.9 M)(9.3 M)
FC10.8 M7.8 M14.3 M18.1 M11.1 MM(7.2 M)(5.9 M)(1 M)(9.4 M)13.6 M18.4 M17.8 M16 M16.8 M
LZ(4 M)12.1 M7.4 M7.4 M7.4 M7.4 M7.4 M7.4 M7.4 M7.4 M9.9 M(108.7 M)(48.7 M)14 M14.7 M
MG7.4 M16.4 M21.4 M11.6 M22.5 M16.1 M14.5 M(2.2 M)6.8 M6.1 M(99.5 M)3.9 M6.5 M(17.5 M)(16.6 M)
NL(19.9 M)81.7 M74.5 M(55.3 M)28.5 M(23.9 M)15.3 M116.1 M(41 M)25.8 M14.7 M51.2 M33.8 M(2.3 M)(2.2 M)
SP(23.4 M)17.9 M3.9 M12.1 M23.1 M17.4 M23.1 M41.2 M53.2 M48.8 M(172.9 M)31.7 M45.2 M31.1 M32.7 M
WM400 K961 M817 M98 M1.3 B753 M1.2 B1.9 B1.9 B1.7 B1.5 B1.8 B2.2 B2.3 B2.4 B

Automatic Data Processing and related stocks such as Broadridge Financial, BrightView Holdings, and Franklin Covey Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in Automatic Data Processing financial statement analysis. It represents the amount of money remaining after all of Automatic Data Processing operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.

Automatic Data Competitive Analysis

The better you understand Automatic Data competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Automatic Data's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Automatic Data's competition over several years is one of the best ways to analyze its investment potential.
    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
ADPBRBVFCLZMGNLSPWM
 0.57 
 249.74 
Automatic
 0.50 
 204.86 
Broadridge
 4.39 
 11.90 
BrightView
 2.51 
 39.26 
Franklin
 0.53 
 13.34 
LegalZoom
 0.52 
 9.56 
Mistras
 0.96 
 7.33 
NL Industries
 0.48 
 52.22 
SP Plus
 0.38 
 213.15 
Waste
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(90 Days Market Risk)
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(90 Days Performance)
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(Probability Of Bankruptcy)
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(Equity Enterprise Value)
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(Average Analysts Consensus)
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(90 Days Macroaxis Advice)
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Automatic Data Competition Performance Charts

Five steps to successful analysis of Automatic Data Competition

Automatic Data's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Automatic Data Processing in relation to its competition. Automatic Data's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Automatic Data in the market, both direct and indirect, as well as new entrants and disruptive technologies.
  • Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
  • Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Automatic Data's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Automatic Data Processing, and developing a strategy to address them.
  • Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your Automatic Data position

In addition to having Automatic Data in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Large Value Funds
Large Value Funds Theme
Funds or Etfs that invest in the undervalued stocks of large-sized companies. The Large Value Funds theme has 39 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Large Value Funds Theme or any other thematic opportunities.
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When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:
Check out Automatic Data Correlation with its peers.
Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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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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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.092
Dividend Share
5.15
Earnings Share
8.6
Revenue Per Share
45.09
Quarterly Revenue Growth
0.063
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.