BNY Mellon (Ireland) Financial Indicators Patterns

IE00B8P0W600 -- Ireland Fund  

USD 0.84  0.04  4.55%

We found eleven available fundamental indicators for BNY Mellon Global Emerg Mkts W USD which can be compared to its rivals. Please makes use of BNY Mellon Global Price to Book and the relationship between Price to Sales and One Year ReturnPrice to Book, Number of Employees, Three Year Return, as well as the relationship between Price to Sales and One Year Return to make a decision on weather BNY Mellon is priced fairly. Use BNY Mellon to protect against small markets fluctuations. The fund experiences very speculative upward sentiment.. Check odds of BNY Mellon to be traded at $0.798 in 30 days

BNY Mellon Company Summary

The objective of the Sub-Fund is to achieve long-term capital growth. BNY Mellon is traded on Irland Stock Exchange in Ireland.

BNY Mellon Price to Book vs Price to Earning

BNY Mellon Global Emerg Mkts W USD is currently considered the top fund in price to book among similar funds. It is currently considered the top fund in price to earning among similar funds reporting about  6.14  of Price to Earning per Price to Book.

BNY Mellon Market Fundamentals

 Quote0.84
 Change(%) 4.55%
 Change0.04 
 Open0.88
 Low0.84
 High0.84
 Volume1.000
 ExchangeISE

Distress Rating

BNY Mellon Financial Distress Probability

53%
Chance of Financial Distress
BNY Mellon Global Emerg Mkts W USD has more than 53 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info
BNY Mellon Global Emerg Mkts W USD is currently considered the top fund in net asset among similar funds. Total Asset Under Management (AUM) of Global Emerging Markets Equity category is currently estimated at about 23.18 Million. BNY Mellon totals roughly 11.59 Million in net asset claiming about 50% of all funds under Global Emerging Markets Equity category.
Please also check Risk vs Return Analysis. Please also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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