Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) Dividend Yield, History & Forecast

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) is an exchange-traded fund (ETF) listed on the New York Stock Exchange Arca. It pays a current dividend yield of 12.92% ($4.88 per share annually (TTM)). The most recent ex-dividend date was December 30, 2025, with payment scheduled for January 7, 2026. market capitalization is approximately $3.98B.

RWLC fund composition

RWLC holds 100 positions, with 36.7% of assets in its ten largest. It charges an expense ratio of 0.32%, and manages $77.6M.

Top 10 holdings

HoldingWeight
AAPLAPPLE INC9.34%
NVDANVIDIA CORP6.00%
GOOGLALPHABET INC-CL A3.60%
GOOGALPHABET INC-CL C3.23%
MUMICRON TECHNOLOGY INC2.73%
MSFTMICROSOFT CORP2.71%
MAMASTERCARD INC - A2.69%
AMZNAMAZON.COM INC2.17%
LRCXLAM RESEARCH CORP2.13%
LLYELI LILLY & CO2.05%

Sector allocation

Technology41.4%Financial Services13.2%Healthcare12.5%Consumer Cyclical9.0%Communication Services8.5%Energy5.6%Consumer Defensive4.4%Basic Materials2.1%Other3.2%

Frequently Asked Questions about Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC)

What is Rayliant Wilshire NxtGen US Large Cap Equity ETF's dividend yield?
Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) pays a current trailing twelve-month dividend yield of 12.92%, which works out to $4.88 per share annually based on the most recent payout schedule.
When does Rayliant Wilshire NxtGen US Large Cap Equity ETF pay distributions?
The most recent ex-dividend date was December 30, 2025. The next scheduled dividend payment date is January 7, 2026.
How many years has Rayliant Wilshire NxtGen US Large Cap Equity ETF increased its dividend?
Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) has increased its dividend for 1 consecutive year.
What does Rayliant Wilshire NxtGen US Large Cap Equity ETF invest in?
The RWLC is an Exchange-Traded Fund designed to mirror the performance of a strategically chosen basket of large-capitalization U.S. equities. Its selection process integrates a multi-factor approach, which is further refined through advanced machine learning algorithms. The sophisticated model underpinning the ETF leverages over 100 distinct signals, encompassing market-level, fundamental company data, and technical indicators, all drawn from 12 key factor categories. To mitigate risk, strict constraints are imposed on both single-stock concentration and industry exposure, measured against...