Pennar Engineered Comparative Analysis Breakdown

PENPEBS -- India Stock  

INR 52.95  1.65  3.02%

You can use this module to analyze advantages of Pennar Engineered technical and fundamental indicators over its peers. Please use the box above to enter up to 4 concurrent symbols you would like to analyze. Use comma (,) to separate each symbol. With this comparative module your can estimate the relative strength of Pennar Engineered Building Systems Limited against its competitors. Additionally take a look at Pennar Engineered Correlation with its peers.

    
 Better Than Average     
    
 Worse Than Peers or Benchmark    View Performance Chart
PENPEBSSRIPIPESGRAVITASHBCLQSALASARMUL
1.65  3.02
 52.95 
Pennar Engineered
10.15  5.63
 170.15 
Srikalahasthi Pipes
0.85  1.37
 61.30 
Gravita India
2.80  2.71
 100.60 
Shivalik Bimetal
3.50  1.48
 233.35 
Salasar Techno
1.70  0.67
 253.80 
MAURIA UDYOG
Market Performance
(Over the last 30 days)
0
0
0
1
0
25
Chance of Financial Distress
(Probability Of Bankruptcy)
38%
36%
41%
13%
39%
25%
Current Ratio
Profit Margin
EBITDA
Operating Margin
Current Valuation
Cash Flow from Operations
Current Asset
Five Year Return
Beta
Price to Book
Shares Outstanding
Total Debt
Return On Equity
Price to Earning
Z Score
Return On Asset
Book Value Per Share
Cash and Equivalents
Current Liabilities
Total Asset
Last Dividend Paid
Price to Sales
Market Capitalization
Cash per Share
Net Income
Earnings Per Share
Debt to Equity
Revenue
Working Capital
Gross Profit
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

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Additionally take a look at Pennar Engineered Correlation with its peers. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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