Williamson Magor (India) Financial Indicators Patterns

WILLAMAGOR -- India Stock  

INR 53.65  1.10  2.01%

Use fundamental data analysis to validate all available financial indicators of Williamson Magor to find out if markets are presently mispricing the firm. We found twenty-four available indicators for Williamson Magor which can be compared to its rivals. To make sure the equity is not overpriced, please check out all Williamson Magor fundamentals including its Gross Profit, Debt to Equity, Beta, as well as the relationship between Cash and Equivalents and Cash Flow from Operations . Use Williamson Magor to protect your portfolios against small markets fluctuations. The stock experiences unexpected downward movement. The market is reacting to new fundamentals. Check odds of Williamson Magor to be traded at 51.5 in 30 days.

Williamson Magor Company Summary

Williamson Magor competes with Motilal Oswal, Reliance Nippon, Reliance Nippon, Reliance Capital, and JSW Holdings. Limited operates as a non-banking financial company in India. The company was founded in 1868 and is based in Kolkata, India. Williamson Magor operates under Asset Management classification in India and is traded on Bombay Stock Exchange. It employs 2 people.

Williamson Magor Current Valuation vs Earnings Per Share

Williamson Magor Co Limited is rated below average in current valuation category among related companies. It is rated below average in earnings per share category among related companies .

Williamson Magor Market Fundamentals

 Quote53.65
 Change(%) 2.01%
 Change1.10 
 Open54.75
 Low53.0
 High55.75
 Volume1650.000
 ExchangeBSE

Distress Rating

Williamson Magor Financial Distress Probability

40%
Chance of Financial Distress
Williamson Magor Co Limited has less than 40 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

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Williamson Magor Opportunity Range

February 18, 2019 Opportunity Range

See also Your Current Watchlist. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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