Automatic Competitors

Stocks . Brazil . 
Stock . Automatic Data Processing
ADPR34 Stock  BRL 73.80  0.72  0.99%   
Automatic Data Processing competes with BTG Pactual, Plano Plano, Companhia Habitasul, and Procter Gamble; as well as few others. The company operates under Industrials sector and is part of Staffing & Employment Services 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.
  
Hype
Prediction
LowEstimatedHigh
72.3773.8075.23
Details
Intrinsic
Valuation
LowRealHigh
66.4283.9085.33
Details
Naive
Forecast
LowNextHigh
72.9874.4075.83
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
68.5872.4076.22
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.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
HBTS5
+ 0.86
BTLG11
BEWZ39
+ 0.73
PLPL3
SUZB3
+ 0.72
C1AB34
C1AB34
+ 0.69
ADPR34
SUZB3
+ 0.68
BEWZ39
SUZB3
+ 0.66
ADPR34
  
High negative correlations   
HBTS5
- 0.84
PLPL3
PLPL3
- 0.82
BTLG11
BEWZ39
- 0.79
HBTS5
BEWZ39
- 0.78
BTLG11
BTLG11
- 0.73
ADPR34
HBTS5
- 0.68
ADPR34

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.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
ADPR34  0.79  0.31  0.15  2.96  0.56 
(1.37)
 2.58 
(1.47)
 9.17 
BTLG11  0.51 (0.06) 0.00  0.57  0.00 
 0.00 
 1.20 
(1.20)
 4.73 
PLPL3  1.75  0.11  0.02  0.49  1.83 
(2.00)
 3.98 
(3.23)
 8.69 
HBTS5  1.72 (0.22) 0.00  0.34  0.00 
 0.00 
 5.18 
(6.25)
 20.67 
PGCO34  1.04  0.15  0.03 (0.39) 1.12 
(1.14)
 2.21 
(1.88)
 7.52 
C1AB34  1.41  0.17  0.06  0.27  1.49 
(2.46)
 4.35 
(2.75)
 14.25 
ATMP3  2.38  0.02  0.00  0.06  0.00 
 0.00 
 6.38 
(5.44)
 21.44 
BEWZ39  0.94  0.01 (0.05) 0.27  1.28 
(0.97)
 2.06 
(2.07)
 8.19 
B1TI34  1.01  0.17  0.06 (0.81) 1.08 
(1.21)
 2.42 
(1.94)
 6.07 
SUZB3  0.94  0.15  0.05 (1.28) 0.90 
(1.08)
 2.33 
(1.65)
 6.36 
All Fundamental Data

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
ADPR34 BTLG11 PLPL3 HBTS5 PGCO34 C1AB34 ATMP3 BEWZ39 B1TI34 SUZB3
 0.99 
 73.80 
Automatic
 0.72 
 97.30 
BTG
 0.23 
 12.98 
Plano
 0.00 
 30.90 
Companhia
 1.84 
 71.50 
Procter
 1.73 
 11.73 
Cable
 4.41 
 1.30 
ATMA
 0.48 
 52.35 
Ishares
 0.35 
 42.87 
British
 0.65 
 60.79 
Suzano
Market Volatility
(90 Days Market Risk)
Very steady
Very steady
Not too volatile
Not too volatile
Very steady
Not too volatile
Dangerous
Very steady
Very steady
Very steady
Market Performance
(90 Days Performance)
Solid
Very Weak
Insignificant
Very Weak
OK
Good
Very Weak
Very Weak
OK
OK
Odds of Financial Distress
(Probability Of Bankruptcy)
Low
Low
Low
Below Average
Low
Low
Quite High
About Average
Low
Low
Current Valuation
(Equity Enterprise Value)
Under Valued
Over Valued
Fairly Valued
Over Valued
Over Valued
Under Valued
Over Valued
Over Valued
Over Valued
Over Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Strong Buy
Cautious Hold
Strong Hold
Strong Sell
Strong Sell
Strong Buy
Strong Sell
Hold
Cautious Hold
Cautious Hold
Current Ratio
1.06
2.78
5.68
0.51
0.79
1.86
0.41
N/A
N/A
2.95
Net Asset
63.07 B
N/A
1.27 B
1.32 B
117.21 B
6.95 B
1.77 B
N/A
137.37 B
118.98 B
Profit Margin
0.18
18.96
0.0763
0.068
0.18
0.22
-0.58
N/A
0.24
0.39
EBITDA
4.4 B
N/A
190.28 M
196.32 M
21.24 B
789.6 M
(21.6 M)
N/A
11.73 B
19.66 B
Operating Margin
0.24
62.59
0.0975
0.27
0.23
0.31
-0.37
N/A
0.42
0.4
Current Valuation
586.65 B
202.43 M
971.73 M
470.48 M
2.06 T
41.25 B
300.54 M
N/A
729.19 B
133.18 B
Price To Book
42.41
1.08
1.81
0.55
8.36
2.3
N/A
N/A
0.2
2.46
Retained Earnings
N/A
N/A
N/A
260 M
N/A
N/A
N/A
N/A
N/A
N/A
Current Asset
N/A
N/A
N/A
79 M
N/A
N/A
N/A
N/A
N/A
N/A
Five Year Return
N/A
N/A
N/A
2.94
N/A
N/A
N/A
N/A
N/A
N/A
Beta
0.83
0.65
-0.66
0.8
0.4
0.81
0.89
N/A
0.37
0.65
Number Of Employees
60 K
N/A
6
12
106 K
3.63 K
15.39 K
N/A
52.08 K
26
Shares Outstanding
9.94 B
1.65 M
198.26 M
5.95 M
33.03 B
1.16 B
26.71 M
N/A
2.24 B
1.31 B
Cash Flow From Operations
3.1 B
5.63 M
73.71 M
(80.77 M)
16.72 B
704.34 M
44.98 M
N/A
9.72 B
17.64 B
Annual Yield
0.0207
N/A
0.0386
0.0384
0.0262
0.0136
N/A
N/A
0.0727
0.0547
Total Debt
2.99 B
N/A
347.45 M
173.49 M
22.85 B
3.8 B
200.39 M
N/A
35.35 B
81.24 B
Return On Equity
0.78
1.13
0.29
0.0216
0.32
0.21
-15.83
N/A
0.0957
0.88
Z Score
99.0
N/A
2.2
N/A
45.0
3.6
N/A
N/A
7.2
N/A
Return On Asset
0.0458
2.33
0.0624
0.0204
0.0955
0.0472
-0.11
N/A
0.0501
0.0969
Book Value Per Share
3.6
98.81
1.94
54.72
1.31
325.52
-10.3
N/A
33.8
21.35
Current Liabilities
N/A
N/A
N/A
102 M
N/A
N/A
N/A
N/A
N/A
N/A
Total Asset
63.07 B
N/A
1.27 B
1.32 B
117.21 B
6.95 B
1.77 B
N/A
137.37 B
118.98 B
Debt To Equity
0.42
N/A
1.33
0.21
54.4
2.38
2.31
N/A
N/A
5.06
Last Dividend Paid
4.37
0.32
0.16
N/A
3.61
11.1
N/A
N/A
2.18
2.39
Target Price
N/A
N/A
6.04
N/A
N/A
N/A
N/A
N/A
N/A
69.15
Shares Owned By Institutions
N/A
0.03
12.07
N/A
N/A
N/A
74.49
N/A
N/A
30.03
Market Capitalization
495.21 B
157.42 M
814.83 M
167.92 M
1.73 T
24.75 B
29.38 M
N/A
436.53 B
61.33 B
Price To Earning
31.55
98.94
4.69
312.5
102.83
0.19
N/A
N/A
N/A
51.98
Price To Earnings To Growth
2.98
N/A
N/A
N/A
4.98
N/A
N/A
N/A
1.79
0.29
Price To Sales
34.46
14.75
0.52
1.1
23.62
13.89
0.0385
N/A
18.26
1.44
Net Income
2.95 B
2.02 M
135.09 M
189.8 M
14.74 B
291.82 M
(136.28 M)
N/A
6.8 B
8.63 B
Earnings Per Share
1.63
1.08
0.5
1.21
2.15
1.56
-6.44
N/A
18.26
13.65
Shares Owned By Insiders
N/A
N/A
69.28
36.19
N/A
N/A
9.7
N/A
N/A
41.31
Revenue
16.05 B
10.67 M
1.27 B
266.95 M
80.19 B
1.61 B
1.05 B
N/A
25.68 B
40.97 B
Working Capital
N/A
N/A
N/A
(23 M)
N/A
N/A
N/A
N/A
N/A
N/A
Cash And Equivalents
1.61 B
N/A
186.95 M
55.87 M
9.82 B
448.96 M
1.84 M
N/A
N/A
9.38 B
Cash Per Share
1.88
N/A
1.37
8.71
3.92
74.36
1.35
N/A
N/A
8.18
Gross Profit
7.45 B
8.26 M
396.77 M
172.12 M
38.21 B
1.15 B
89.37 M
N/A
22.85 B
20.35 B
Day Typical Price
73.8
97.27
12.9
30.9
71.4
11.72
1.32
52.22
42.96
60.73
Accumulation Distribution
N/A
0.0133
19195.08
N/A
90.17
0.0374
514.71
2.9
101.79
91499.36
Market Facilitation Index
N/A
1.3
N/A
N/A
3.0E-4
0.0275
0.0
0.0011
0.0
N/A
Daily Balance Of Power
9.2 T
0.5385
0.0938
0.0
0.9923
1.818182
(0.86)
(0.62)
0.3846
0.3939
Period Momentum Indicator
0.72
0.7
0.03
N/A
1.29
0.2
(0.06)
(0.25)
0.15
0.39
Rate Of Daily Change
1.01
1.01
1.0
1.0
1.02
1.02
0.96
1.0
1.0
1.01
Day Median Price
73.8
97.25
12.86
30.9
71.35
11.72
1.33
52.15
43.01
60.7
Price Action Indicator
0.36
0.4
0.14
N/A
0.8
0.12
(0.06)
0.075
(0.06)
0.29
Relative Strength Index
80.84
47.25
46.81
42.18
54.44
75.95
39.16
48.08
56.38
61.03
Coefficient Of Variation
434.01
(1,135)
1553.4
(1,216)
1083.75
897.78
(12,350)
5416.38
776.1
828.43
Mean Deviation
0.7949
0.5097
1.75
1.72
1.04
1.41
2.38
0.9439
1.01
0.938
Jensen Alpha
0.305
(0.06)
0.106
(0.22)
0.1474
0.1663
0.0179
0.01
0.1709
0.1475
Total Risk Alpha
0.1546
(0.16)
(0.12)
(0.69)
(0.04)
(0.01)
(0.46)
(0.14)
0.0098
(0.001)
Sortino Ratio
0.1505
N/A
0.0219
N/A
0.0287
0.0593
N/A
(0.05)
0.0569
0.0502
Downside Variance
2.31
N/A
3.81
N/A
1.53
7.08
N/A
1.9
1.48
1.11
Standard Deviation
1.41
0.7227
2.15
3.5
1.42
2.27
3.72
1.34
1.28
1.23
Kurtosis
11.57
2.49
(0.56)
7.08
2.46
3.55
5.1
2.09
0.3175
0.6735
Potential Upside
2.58
1.2
3.98
5.18
2.21
4.35
6.38
2.06
2.42
2.33
Treynor Ratio
2.96
0.5685
0.4944
0.3367
(0.39)
0.2699
0.0591
0.2671
(0.81)
(1.28)
Maximum Drawdown
9.17
4.73
8.69
20.67
7.52
14.25
21.44
8.19
6.07
6.36
Variance
1.98
0.5223
4.6
12.24
2.01
5.17
13.83
1.8
1.63
1.51
Market Risk Adjusted Performance
2.97
0.5785
0.5044
0.3467
(0.38)
0.2799
0.0691
0.2771
(0.80)
(1.27)
Risk Adjusted Performance
0.1782
(0.07)
0.055
(0.05)
0.0742
0.0906
0.0019
0.0183
0.1012
0.0948
Skewness
2.02
0.5194
0.1397
(1.31)
0.8185
0.8287
0.9091
0.3964
(0.19)
0.4967
Semi Deviation
0.5632
N/A
1.83
N/A
1.12
1.49
N/A
1.28
1.08
0.8962
Information Ratio
0.1626
(0.22)
0.0199
(0.11)
0.025
0.0694
(0.03)
(0.05)
0.0541
0.043
Value At Risk
(1.47)
(1.20)
(3.23)
(6.25)
(1.88)
(2.75)
(5.44)
(2.07)
(1.94)
(1.65)
Expected Short fall
(1.37)
N/A
(2.00)
N/A
(1.14)
(2.46)
N/A
(0.97)
(1.21)
(1.08)
Downside Deviation
1.52
N/A
1.95
N/A
1.24
2.66
N/A
1.38
1.22
1.05
Semi Variance
0.3172
N/A
3.35
N/A
1.26
2.21
N/A
1.64
1.17
0.8032

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.

Did You Try This Idea?

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High Dividend Yield ETFs
High Dividend Yield ETFs Theme
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Additional Information and Resources on Investing in Automatic Stock

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:
How To Invest In Automatic
Details
Is Automatic Stock a good investment?
Details
What is Automatic Data's Net Worth?
Details
Largest Commercial & Professional Services Companies
View
Largest Industrials Companies
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Check out Automatic Data Correlation with its peers.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Altman
Z Score
Details
Intrinsic
Valuation
Details
Financial
Analysis
Details
Buy or Sell
Advice
Details
Technical
Analysis
Details
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.
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
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