JPMorgan Fundamental Data Science Small Core ETF
SCDS
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- JPMorgan Fundamental Data Science Small Core ETF (SCDS) is an actively managed exchange-traded fund that seeks long-term capital appreciation by investing primarily in equity securities of small-cap companies. The fund employs a proprietary fundamental data science-enabled investment approach, combining research, data insights, risk management, and quantitative models to forecast financial prospects, identify securities priced favorably relative to risk, and benchmark performance against the Russell 2000 Index. It offers exposure to a diversified portfolio across sectors including financials (16.2%), industrials (18.8%), health care (15.4%), information technology (15.0%), and consumer discretionary (10.0%), with top holdings such as Credo Technology Group Holding Ltd (1.7%), Bloom Energy Corp (1.4%), and Fabrinet (1.3%); the fund holds approximately 257 constituents, primarily U.S.-based (86.7%) with minor allocations to Cayman Islands, Britain, and other regions. Launched on August 7, 2024, under J.P. Morgan Exchange-Traded Fund Trust and sponsored by J.P. Morgan Asset Management—a business line of JPMorgan Chase & Co., headquartered in New York, New York—the ETF has approximately $7.14 million in assets under management, a net expense ratio of 0.40%, and quarterly dividend distributions with a 12-month rolling yield of 1.05% as of October 31, 2025. Recent portfolio adjustments as of August 2025 include new positions in Graham Holdings Company, Moog Inc. Class A, SPX Technologies Inc., Sabra Health Care REIT Inc., and Alkermes plc, reflecting ongoing active management to adapt to market opportunities in the small-cap U.S. equity segment. The fund received a Morningstar Bronze Medalist Rating as of September 30, 2025, based on analysis of its people, process, and parent organization, with performance since inception at NAV showing 16.27% total return through October 31, 2025. No major acquisitions, partnerships, funding rounds, or strategic reorganizations have been reported for the ETF itself within the last 1-2 years, consistent with its recent launch and focus on quantitative portfolio optimization.