Y H (Israel) Financial Indicators Patterns

DIMRI -- Israel Stock  

ILS 5,717  51.00  0.88%

We strongly advise you to harness Y H Dimri fundamental analysis to see if markets are at this moment mispricing the company. Specifically you can makes use of it to find out if Y H Dimri is indeed mispriced or if you can make any profits on it by purchasing it and then waiting for the market to recognize its mistake and reprise the security. . We found thirty-two available indicators for Y H Dimri which can be compared to its rivals. To make sure the equity is not overpriced, please check out all Y H Dimri fundamentals including its Price to Sales, Book Value Per Share, Current Liabilities, as well as the relationship between Cash and Equivalents and Market Capitalization . Use Y H to protect against small markets fluctuations. The stock experiences moderate downward daily trend and can be a good diversifier. Check odds of Y H to be traded at S5602.66 in 30 days

Y H Company Summary

Y H competes with Bezeq Israel, Oil Refineries, Perrigo Company, Bank Leumi, and Israel Chemicals. Dimri Construction Development Ltd operates as a construction company in Israel, Romania, and the Czech Republic. The company was founded in 1989 and is based in Netivot, Israel. Y H is traded on Tel Aviv Stock Exchange in Israel.

Y H Beta vs Cash per Share

Y H Dimri Construction Development Ltd is rated # 3 in beta category among related companies. It is rated # 5 in cash per share category among related companies fabricating about  26.97  of Cash per Share per Beta.

Y H Market Fundamentals

 Change(%) 0.88%

Distress Rating

Y H Financial Distress Probability

Chance of Financial Distress
Y H Dimri Construction Development Ltd has more than 51 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

Y H Opportunity Range

October 19, 2018 Opportunity Range

Additionally see Investing Opportunities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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