Generated October 3, 2026.
Overview
SCHH and VNQ are both broad U.S. real estate investment trust ETFs designed to track the overall REIT market. The key distinction is scale and index composition: VNQ is substantially larger and has been operating longer, while SCHH offers a lower expense ratio and a different underlying index methodology.
How they differ
SCHH's 0.07% expense ratio undercuts VNQ's 0.13% by 0.06%—a meaningful difference on a $100,000 position over a decade. VNQ offers a higher distribution rate of 3.60% against SCHH's 3.15%, a 0.45% spread. The gap likely reflects different index methodologies: VNQ uses a broad investable-market approach while SCHH applies a capped-index framework, which may select or weight REITs differently. VNQ's asset base of $36.5B substantially exceeds SCHH's $10.7B, and VNQ launched in 2004 versus SCHH in 2011. Both exhibit near-identical market sensitivity, with betas of 0.97 and 0.98 respectively. real estate exposure from a smaller, lower-cost vehicle.
Key risks to know
- Index methodology divergence. The Dow Jones Capped Index and MSCI Investable Market Index select and weight REITs using different rules, meaning SCHH and VNQ may hold overlapping but distinct portfolios. Holdings overlap should be verified before combining them, as index construction—not manager skill—drives any performance gaps.
- Real estate sector cyclicality. Both funds concentrate entirely on REITs, exposing holders to interest-rate sensitivity and commercial real estate cycles. Rising rates typically pressure REIT valuations, and downturns in specific property types (office, retail, industrial) ripple through the entire fund.
- Distribution sustainability in low-rate environments. Both funds yield in the 3–4% range. When interest rates decline sharply, REIT yields compress and distributions may rely partly on return of capital, risking NAV erosion over extended periods of below-average rate environments. Both seek to replicate broad REIT market indexes through different underlying methodologies, so the choice hinges on fee tolerance and fund size preference rather than fundamentally different real estate strategies. Past performance does not predict future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.