E Schnapp (Israel) Financial Indicators Patterns

SHNP -- Israel Stock  

ILS 1,647  12.00  0.73%

We urge you to utilize E Schnapp fundamental analysis to see if markets are at this moment mispricing the company. In plain English this interface allows you to check available reported financial drivers of E Schnapp as well as the relationship between them. . We found thirty-two available fundamental indicators for E Schnapp Co Works Ltd which can be compared to its rivals. To make sure the equity is not overpriced, please confirm all E Schnapp fundamentals including its EBITDA, Cash and Equivalents, Total Debt, as well as the relationship between Net Income and Cash per Share . Use E Schnapp to enhance returns of your portfolios. The stock experiences moderate upward volatility. Check odds of E Schnapp to be traded at S1811.7 in 30 days

E Schnapp Company Summary

E Schnapp competes with El Al. It also manufactures, distributes, and sells lead-acid batteries, including batteries for cars, trucks, and motorcycles deep-cycle batteries and chargers and testers. Works Ltd was founded in 1951 and is headquartered in Netanya, Israel. E Schnapp is traded on Tel Aviv Stock Exchange in Israel.

E Schnapp Current Asset vs Z Score

E Schnapp Co Works Ltd is currently regarded as top stock in current asset category among related companies. It is currently regarded as top stock in z score category among related companies . The ratio of Current Asset to Z Score for E Schnapp Co Works Ltd is about  183,750,000 

E Schnapp Market Fundamentals

 Quote1647.00
 Change(%) 0.73%
 Change12.00 
 Open1635.0
 Low1610.0
 High1658.0
 Volume4384.000
 ExchangeTLV

Distress Rating

E Schnapp Financial Distress Probability

40%
Chance of Financial Distress
E Schnapp Co Works Ltd has less than 40 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

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E Schnapp Opportunity Range

December 18, 2018 Opportunity Range

Also please take a look at World Market Map. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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