Avantis Emerging Markets ex-China Equity ETF (AVXC) Dividend Yield, History & Forecast

Avantis Emerging Markets ex-China Equity ETF (AVXC) is an exchange-traded fund (ETF) listed on the NASDAQ Global Market. It pays a current dividend yield of 2.17% ($1.79 per share annually (TTM)). The most recent ex-dividend date was September 8, 2026, with payment scheduled for September 10, 2026. market capitalization is approximately $423M. Review AVXC dividend history on this scorecard, compare peers in the Compare Dividend Returns tool, or project income with the dividend calculator.

AVXC fund composition

AVXC holds 2884 positions. It charges an expense ratio of 0.33%, and manages $466.2M.

Sector allocation

Technology36.4%Financial Services22.1%Industrials9.5%Basic Materials7.5%Consumer Cyclical6.2%Energy4.7%Communication Services3.6%Consumer Defensive3.2%Other6.7%

Frequently Asked Questions about Avantis Emerging Markets ex-China Equity ETF (AVXC)

What is Avantis Emerging Markets ex-China Equity ETF's dividend yield?
Avantis Emerging Markets ex-China Equity ETF (AVXC) pays a current trailing twelve-month dividend yield of 2.17%, which works out to $1.79 per share annually based on the most recent payout schedule.
When does Avantis Emerging Markets ex-China Equity ETF pay distributions?
The most recent ex-dividend date was September 8, 2026. The next scheduled dividend payment date is September 10, 2026.
What does Avantis Emerging Markets ex-China Equity ETF invest in?
This ETF invests across a wide range of companies of all sizes within emerging markets, specifically excluding those domiciled in China. Its design aims to enhance expected returns by emphasizing securities identified as having lower valuations and higher profitability. While embracing the benefits typically associated with indexing, such as broad diversification, low portfolio turnover, and transparent exposures, the fund also seeks to generate added value through investment decisions informed by current market prices. An efficient management and trading process is employed to maximize...