Matthews Emerging Markets ex China Active ETF MEMX
Trading in the middle of its range for the past year.
The essentials
Four questions every investor asks, answered in one line each.
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company.
AI analysis
An AI analyst reads Matthews Emerging Markets ex China Active ETF MEMX's last five years, its segments, earnings, insiders and peers, and writes the bull case, the bear case and what the price expects.
Run the AI analysisNo annual statements on file yet.
Valuation
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
Profitability
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
Growth
- –
- –
- –
- –
- –
Financial health
- –
- –
- –
- –
- –
- –
- –
News
No recent news on file.
Insider trades
Our insider feed has not updated since May 26, 2026. Trades filed after that are not listed yet.
No insider trades on file.
Not enough data
Questions about Matthews Emerging Markets ex China Active ETF MEMX
Is Matthews Emerging Markets ex China Active ETF MEMX a good stock to buy?
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company. Whether it suits you depends on your goals and the price you pay; invest-like never tells anyone to buy or sell. The AI analysis lays out the case for and against. Read the Matthews Emerging Markets ex China Active ETF MEMX AI analysis
What does Matthews Emerging Markets ex China Active ETF MEMX do?
Under normal circumstances, the fund seeks to achieve its investment objective by investing at least 80% of its net assets, which include borrowings for investment purposes, in the common and preferred stocks of companies located in emerging market countries excluding China. It is in Asset Management.
How has Matthews Emerging Markets ex China Active ETF MEMX stock done over the past year?
Up 16.4% over the past twelve months, to $42.05. It traded between $35.46 and $51.47 and is 18.3% below its high.
Prices: daily closes to Nov 9, 2026. Fundamentals: company reports via invest-like data.