The Dimensional US High Profitability ETF (DUHP) seeks to track an index of U.S. companies with high profitability characteristics, measuring firms with strong operating profitability relative to book value. This factor-based equity ETF targets companies demonstrating superior earnings generation capabilities across the domestic stock market.

How It Works

DUHP employs Dimensional's proprietary research-driven approach to identify and weight U.S. stocks based on profitability metrics, particularly operating income relative to book equity. The fund uses a systematic, rules-based methodology that adjusts holdings based on profitability scores rather than market capitalization. Portfolio construction emphasizes companies with consistently high returns on assets and sustainable profit margins, with periodic rebalancing to maintain factor exposure while managing turnover costs.

Key Features

  • Applies Dimensional's decades of academic research on profitability factor investing with systematic screening methodology
  • Zero expense ratio makes it one of the most cost-effective factor ETFs available to investors
  • Launched in 2022, representing newer generation factor investing with refined profitability definitions and screening processes

Risks

  • This ETF can lose value when high-profitability stocks underperform, particularly during growth stock rotations or value rallies favoring lower-quality companies
  • Factor concentration risk means performance may significantly lag broad market during periods when profitability premium disappears or reverses
  • As a newer fund with limited assets, liquidity constraints could create wider bid-ask spreads during volatile market conditions

Who Should Own This

Best suited as a satellite holding (10-20% of equity allocation) for investors with 5+ year time horizons seeking factor-based outperformance. Requires medium-to-high risk tolerance due to potential style drift and tracking error versus broad market. Appeals to evidence-based investors familiar with academic factor research and comfortable with periods of underperformance.