Compare Cintas to RENTOKIL, INPOST, Elis, PARK24, PARK24, RELO

Comparing Cintas to RENTOKIL, INPOST, Elis, PARK24, PARK24, RELO can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.
Specify up to 10 symbols:

Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices 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.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
5FJ
+ 0.83
RTO
7EL
+ 0.74
669
RTO
+ 0.64
CIT
5FJ
+ 0.58
CIT
3WN
+ 0.42
5FJ
3WN
+ 0.25
RTO
  
High negative correlations   
665
- 0.5
CIT
5FJ
- 0.44
669
665
- 0.41
5FJ
665
- 0.4
7EL
665
- 0.4
RTO
669
- 0.38
RTO

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself 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 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.
All Fundamental Data

Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
CIT RTO 669 7EL 5FJ 3WN 665
 0.88 
 178.50 
Cintas
 3.25 
 23.80 
RENTOKIL
 1.05 
 16.05 
INPOST
 3.10 
 18.15 
Elis
 1.52 
 13.40 
PARK24
 4.88 
 12.90 
PARK24
 1.69 
 11.60 
RELO
Market Volatility
(90 Days Market Risk)
Very steady
Not too volatile
Very steady
Not too volatile
Unstable
Not too volatile
Not too volatile
Market Performance
(90 Days Performance)
Very Weak
Modest
Very Weak
Very Weak
Good
Good
Weak
Odds of Financial Distress
(Probability Of Bankruptcy)
Low
Low
Quite High
Low
Average
Average
Low
Current Valuation
(Equity Enterprise Value)
Under Valued
Over Valued
Under Valued
Over Valued
Over Valued
Over Valued
Fairly Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Hold
Cautious Hold
Hold
Strong Sell
Strong Sell
Cautious Hold
Sell
Current Ratio
1.09 X
1.02 X
0.02 X
0.84 X
1.21 X
1.21 X
1.31 X
Net Asset
8.15 B
N/A
N/A
8.04 B
N/A
N/A
N/A
Profit Margin
0.15 %
8.63 %
0.09 %
0.04 %
0.01 %
0.01 %
0.16 %
EBITDA
1.99 B
592.7 M
N/A
1.01 B
52.16 B
52.16 B
27.47 B
Operating Margin
0.20 %
13.45 %
N/A
0.11 %
0.07 %
0.07 %
0.15 %
Current Valuation
47.18 B
13.76 B
N/A
6.6 B
N/A
N/A
N/A
Price To Book
14.38 X
10.98 X
N/A
0.94 X
N/A
N/A
N/A
Five Year Return
1.03 %
N/A
N/A
N/A
N/A
N/A
N/A
Beta
1.32
0.39
1.05
1.81
1.28
1.28
0.62
Number Of Employees
43 K
44.5 K
5.27 K
45 K
4.97 K
4.97 K
4.3 K
Shares Outstanding
101.62 M
371.87 M
499.64 M
230.03 M
170.52 M
170.52 M
152.98 M
Cash Flow From Operations
1.54 B
635.2 M
N/A
961.6 M
32.46 B
32.46 B
N/A
Annual Yield
0.01 %
N/A
N/A
0.02 %
N/A
N/A
0.02 %
Total Debt
2.48 B
2.87 B
N/A
3.08 B
250.33 B
250.33 B
167.46 B
Return On Equity
0.37
23.4
0.35
0.0503
0.0877
0.0877
0.34
Z Score
9.6
2.4
N/A
0.6
N/A
N/A
N/A
Return On Asset
0.13
5.34
0.0753
0.0288
0.0412
0.0412
0.0442
Book Value Per Share
33.77 X
3.06 X
(0.40) X
13.66 X
234.82 X
234.82 X
395.22 X
Total Asset
8.15 B
N/A
N/A
8.04 B
N/A
N/A
N/A
Debt To Equity
0.84 %
2.52 %
N/A
1.30 %
N/A
N/A
4.25 %
Target Price
414.1
N/A
N/A
N/A
N/A
N/A
N/A
Last Dividend Paid
4.2
0.43
N/A
0.37
N/A
N/A
29.0
Shares Owned By Institutions
66.85 %
0.60 %
74.28 %
64.31 %
32.04 %
N/A
36.80 %
Market Capitalization
42.15 B
13.19 B
4.32 B
3.88 B
2.61 B
2.59 B
2.35 B
Price To Earning
45.21 X
57.44 X
N/A
908.33 X
N/A
N/A
32.21 X
Price To Earnings To Growth
3.06 X
N/A
N/A
N/A
N/A
N/A
N/A
Price To Sales
5.16 X
4.40 X
N/A
0.89 X
N/A
N/A
N/A
Net Income
1.24 B
258.4 M
(7.6 M)
114.5 M
(53.02 B)
(53.02 B)
11.17 B
Earnings Per Share
11.80 X
0.58 X
0.26 X
0.69 X
0.14 X
0.14 X
0.76 X
Shares Owned By Insiders
15.03 %
N/A
13.18 %
1.84 %
25.25 %
N/A
27.16 %
Revenue
7.85 B
3 B
N/A
3.05 B
290.25 B
290.25 B
139.38 B
Cash And Equivalents
79.75 M
1.73 B
N/A
152.4 M
100.1 B
100.1 B
49.95 B
Cash Per Share
0.77 X
4.67 X
N/A
0.68 X
647.84 X
647.84 X
329.77 X
Gross Profit
3.63 B
2.22 B
3.88 B
932.1 M
70.59 B
70.59 B
66.27 B
Day Typical Price
176.22
23.67
16.04
18.15
13.37
12.9
11.6
Accumulation Distribution
0.0504
0.0168
0.0105
N/A
0.0075
N/A
N/A
Market Facilitation Index
9.05
0.4
0.17
N/A
0.1
N/A
N/A
Daily Balance Of Power
0.1713
(2.00)
(1.00)
(9,223,372,036,855)
2.0
9.2 T
(9,223,372,036,855)
Period Momentum Indicator
1.55
(0.80)
(0.17)
(0.58)
0.2
0.6
(0.20)
Rate Of Daily Change
1.01
0.97
0.99
0.97
1.02
1.05
0.98
Day Median Price
175.08
23.6
16.04
18.15
13.35
12.9
11.6
Price Action Indicator
4.2
(0.20)
(0.07)
(0.29)
0.15
0.3
(0.10)
Coefficient Of Variation
(37,629)
1486.09
(1,725)
(3,346)
630.6
632.01
3537.84
Mean Deviation
1.19
2.17
1.03
1.43
3.14
1.68
1.5
Jensen Alpha
(0.03)
0.1676
(0.10)
(0.06)
1.67
0.3455
0.0543
Total Risk Alpha
(0.07)
0.1111
(0.13)
(0.12)
1.35
0.2786
(0.01)
Sortino Ratio
N/A
0.0592
N/A
N/A
1.01
0.17
0.015
Downside Variance
N/A
8.75
N/A
N/A
2.59
3.51
4.95
Standard Deviation
2.07
3.08
1.45
1.86
10.43
2.22
2.32
Kurtosis
13.46
2.28
3.14
1.3
60.41
2.17
10.12
Potential Upside
2.09
6.36
2.2
3.0
2.94
3.88
2.63
Treynor Ratio
(0.03)
0.1472
(0.22)
0.9925
(1.33)
(1.57)
1.03
Maximum Drawdown
15.82
17.98
8.99
9.87
86.09
8.85
16.02
Variance
4.28
9.49
2.09
3.46
108.72
4.91
5.36
Market Risk Adjusted Performance
(0.02)
0.1572
(0.21)
1.0
(1.32)
(1.56)
1.04
Risk Adjusted Performance
0.0041
0.0607
(0.04)
(0.02)
0.1349
0.1318
0.029
Skewness
(2.67)
0.6375
(0.62)
0.8036
7.63
1.04
1.81
Semi Deviation
N/A
2.52
N/A
N/A
0.0
1.3
1.76
Information Ratio
(0.02)
0.0568
(0.08)
(0.05)
0.1555
0.1437
0.0144
Value At Risk
(2.03)
(4.76)
(2.20)
(2.76)
(1.85)
(2.80)
(2.70)
Expected Short fall
N/A
(2.68)
N/A
N/A
(4.99)
(2.67)
(1.97)
Downside Deviation
N/A
2.96
N/A
N/A
1.61
1.87
2.22
Semi Variance
N/A
6.35
N/A
N/A
(0.34)
1.7
3.11

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, 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 the competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats 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.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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