Generated October 3, 2026.
Overview
SMH and SOXX are both large-cap semiconductor ETFs tracking different US semiconductor indexes. The core difference is index construction: SMH uses a narrower, fixed 25-name methodology while SOXX uses a broader ICE framework, and the two indexes likely weight their holdings differently—a distinction that can drive meaningful performance gaps.
How they differ
The most significant difference is index scope and construction rules. This structural difference typically affects concentration: a 25-name index is more concentrated in its top holdings than a larger basket.
On fees, SOXX edges ahead with an expense ratio of 0.33%, versus SMH at 0.35%—a gap of 0.02% basis points. Beta differences are notable too: SOXX shows 2.33, compared to SMH's 2.06, suggesting SOXX carries modestly higher systematic risk. SMH has significantly larger assets at $74.6B versus $48.9B.
- SOXX: Investors who prefer quarterly dividend cash flow, favor a fractionally lower expense ratio, or find SOXX's broader ICE methodology more aligned with their view of the semiconductor sector.
Key risks to know
- Semiconductor cycle risk: Both funds have beta above 2.0, meaning they amplify broad market moves significantly. Semiconductor demand is cyclical, and downturns in chip spending can drive sharp declines in both funds simultaneously.
- Index concentration: SMH's 25-name mandate concentrates holdings more than SOXX's broader index. A correction driven by weakness in SMH's largest positions could hit the fund disproportionately hard relative to the broader sector.
- Valuation multiple compression: Semiconductors are cyclical growth stocks. In rising-rate environments or economic slowdowns, earnings multiples for these companies often contract, pressuring both funds' NAVs even if earnings remain flat.
- Overlap in holdings: Both funds hold US-listed semiconductors, so their top 10 positions are likely to overlap significantly. Diversification benefits between holding both are limited. Both carry substantial cyclical and sector concentration risk that dominates the choice between them. Past performance doesn't predict future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.