JPMorgan Fundamental Data Science Mid Core ETF (MCDS) Dividend Yield, History & Forecast

JPMorgan Fundamental Data Science Mid Core ETF (MCDS) is an exchange-traded fund (ETF) listed on the NASDAQ Global Select. It pays a current dividend yield of 1.01% ($0.68 per share annually (TTM)). The most recent ex-dividend date was September 22, 2026, with payment scheduled for September 24, 2026. market capitalization is approximately $8M. Review MCDS dividend history on this scorecard, compare peers in the Compare Dividend Returns tool, or project income with the dividend calculator.

MCDS fund composition

MCDS holds 203 positions, with 11.8% of assets in its ten largest. It charges an expense ratio of 0.35%, and manages $8.1M.

Top 10 holdings

HoldingWeight
MPCMARATHON PETROLEUM CORP1.91%
NTRANATERA INC COMMON STOCK1.31%
HPEHEWLETT PACKARD1.29%
CAHCARDINAL HEALTH INC1.21%
STTSTATE STREET CORP COMMON1.08%
WABWESTINGHOUSE AIR BRAKE1.04%
DGXQUEST DIAGNOSTICS INC0.99%
SNOWSNOWFLAKE INC COMMON0.99%
LNGCHENIERE ENERGY INC0.99%
DOVDOVER CORP COMMON STOCK0.97%

Sector allocation

Technology19.2%Industrials15.2%Financial Services13.0%Healthcare12.4%Consumer Cyclical10.2%Energy7.2%Real Estate6.4%Utilities6.3%Other14.4%

Frequently Asked Questions about JPMorgan Fundamental Data Science Mid Core ETF (MCDS)

What is JPMorgan Fundamental Data Science Mid Core ETF's dividend yield?
JPMorgan Fundamental Data Science Mid Core ETF (MCDS) pays a current trailing twelve-month dividend yield of 1.01%, which works out to $0.68 per share annually based on the most recent payout schedule.
When does JPMorgan Fundamental Data Science Mid Core ETF pay distributions?
The most recent ex-dividend date was September 22, 2026. The next scheduled dividend payment date is September 24, 2026.
What does JPMorgan Fundamental Data Science Mid Core ETF invest in?
This fund, under typical market conditions, commits at least 80% of its total investments to stocks issued by companies with a medium market capitalization. A substantial portion of these equity holdings are commonly found within the financial, industrial, and consumer discretionary sectors. The investment adviser employs a sophisticated methodology, fusing fundamental analysis with data science, which encompasses thorough research, data-driven insights, and meticulous risk management.