Dolomite Holdings Comparative Analysis Breakdown

DLMT-M -- Israel Stock  

null 43.50  0.60  1.36%

You can use this module to analyze advantages of Dolomite Holdings 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 Dolomite Holdings Ltd against its competitors. Additionally see Dolomite Holdings Correlation with its peers.

    
 Better Than Average     
    
 Worse Than Peers or Benchmark    View Performance Chart
DLMT-MLUMIPRGOICLNICEAZRG
0.60  1.36
 43.50 
Dolomite Holdings
39.00  1.69
 2,340 
Bank Leumi
100.00  0.45
 22,200 
Perrigo Company
3.00  0.14
 2,119 
Israel Chemicals
60.00  0.14
 42,660 
NICE Ltd
160.00  0.85
 18,750 
Azrieli Group
Market Performance
(Over the last 30 days)
4
1
0
0
13
7
Chance of Financial Distress
(Probability Of Bankruptcy)
76%
45%
12%
6%
1%
44%
Shares Owned by Insiders
Current Ratio
Profit Margin
EBITDA
Operating Margin
Current Valuation
Cash Flow from Operations
Retained Earnings
Current Asset
Five Year Return
Beta
Price to Book
Shares Outstanding
Total Debt
Return On Equity
Price to Earning
Z Score
Shares Owned by Institutions
Return On Asset
Book Value Per Share
Cash and Equivalents
Price to Earnings To Growth
Current Liabilities
Total Asset
Last Dividend Paid
Market Capitalization
Price to Sales
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 see Dolomite Holdings Correlation with its peers. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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