The comparison between SMH (VanEck Semiconductor ETF) and SOXQ (Invesco PHLX Semiconductor Sector ETF) is relevant for investors seeking targeted exposure to the semiconductor industry. Both ETFs track companies across chip production, equipment, and related technologies, making them suitable for those monitoring AI infrastructure growth, technological advancements, and global supply dynamics. Traders and portfolio managers evaluating sector rotation or thematic allocations may find this analysis useful for understanding differences in cost structure, liquidity, concentration, and historical positioning within the same underlying market segment.
SMH seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index, focusing on the most liquid and largest companies in the semiconductor space. The ETF holds a concentrated portfolio with significant weightings toward leaders such as Nvidia and Taiwan Semiconductor Manufacturing. In recent weeks, SMH has reflected broader sector movements influenced by ongoing AI capital expenditure trends and earnings reports from key holdings. Its substantial assets under management, reported near $67 billion as of mid-July 2026, support high liquidity and tighter bid-ask spreads during market activity.
SOXQ tracks the PHLX Semiconductor Sector Index, providing exposure to a similar group of semiconductor firms with a methodology that emphasizes sector representation. The ETF features a lower expense ratio and has seen comparatively modest assets under management. Recent market activity for SOXQ has aligned with industry developments, including AI demand and supply considerations affecting holdings. Its structure offers investors a cost-efficient vehicle within the semiconductor theme, though with lower average daily trading volume relative to larger peers.
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SMH and SOXQ share substantial overlap in holdings and sector focus, yet differ in key operational aspects. SMH employs greater concentration in top names and commands markedly higher assets under management and trading volume, enhancing liquidity but resulting in a higher expense ratio. SOXQ provides a lower-cost alternative with a 0.19% expense ratio, potentially appealing for longer-term holdings where fees accumulate. Both respond to similar catalysts such as AI spending and semiconductor demand, though SMH has shown stronger multi-year returns in available data. Risk factors include sector-specific volatility from technological shifts and geopolitical supply issues, with SOXQ offering marginally broader diversification within its index methodology.
Based on observable factors including liquidity metrics, asset scale, and trend consistency in recent market activity, Tickeron’s AI would likely assign a modest edge to SMH for investors prioritizing stability and execution efficiency. SOXQ may appeal more in scenarios emphasizing cost efficiency. This assessment reflects relative positioning rather than certainty, as both remain closely tied to the same underlying semiconductor dynamics.
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Disclaimers and Limitations| SMH | SOXQ | SMH / SOXQ | |
| Gain YTD | 69.669 | 83.341 | 84% |
| Net Assets | 69.8B | 2.54B | 2,753% |
| Total Expense Ratio | 0.35 | 0.19 | 184% |
| Turnover | 12.00 | 24.00 | 50% |
| Yield | 0.17 | 0.25 | 66% |
| Fund Existence | 15 years | 5 years | - |
| SMH | SOXQ | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| MACD ODDS (%) | 2 days ago 86% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 86% |
| Advances ODDS (%) | 15 days ago 90% | 15 days ago 89% |
| Declines ODDS (%) | about 1 month ago 82% | about 1 month ago 83% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MBSF | 25.73 | 0.03 | +0.11% |
| Regan Floating Rate MBS ETF | |||
| DDTS | 22.69 | N/A | N/A |
| Innovator Eq Dual Drctnl 10 Buf ETF -Sep | |||
| CGMM | 31.89 | -0.08 | -0.25% |
| Capital Group U.S. Small & Mid Cap ETF | |||
| IGRO | 89.16 | -1.05 | -1.16% |
| iShares International Dividend Gr ETF | |||
| SAA | 35.90 | -0.56 | -1.54% |
| ProShares Ultra SmallCap600 | |||
A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | N/A | ||
| LRCX - SMH | 88% Closely correlated | +0.15% | ||
| KLAC - SMH | 85% Closely correlated | +1.88% | ||
| AMAT - SMH | 84% Closely correlated | +1.60% | ||
| ASML - SMH | 83% Closely correlated | +0.06% | ||
| MPWR - SMH | 80% Closely correlated | -0.09% | ||
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A.I.dvisor indicates that over the last year, SOXQ has been closely correlated with LRCX. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOXQ jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SOXQ | 1D Price Change % | ||
|---|---|---|---|---|
| SOXQ | 100% | N/A | ||
| LRCX - SOXQ | 88% Closely correlated | +0.15% | ||
| AMAT - SOXQ | 84% Closely correlated | +1.60% | ||
| KLAC - SOXQ | 84% Closely correlated | +1.88% | ||
| MPWR - SOXQ | 82% Closely correlated | -0.09% | ||
| MU - SOXQ | 80% Closely correlated | +3.20% | ||
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