The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS® US Listed Semiconductor 25 Index... Show more
The VanEck Semiconductor ETF (SMH) tracks the MVIS US Listed Semiconductor 25 Index, a market-cap-weighted benchmark comprising the 25 largest and most liquid U.S.-listed companies involved in semiconductor production and equipment. This non-diversified, passive strategy invests at least 80% of assets in index components, emphasizing firms deriving at least 50% of revenue from semiconductors.
Top holdings dominate, with the top 10 accounting for about 73% of assets: NVDA (16.4%), TSM (9.75%), INTC (8.3%), AVGO (7.3%), AMD (7.1%), MU (6.3%), QCOM (4.7%), TXN (4.6%), LRCX (4.3%), and ADI (4.2%). Sector allocation is 100% technology, spanning chip design, fabrication, memory, and equipment. Geographic exposure is primarily U.S. (around 83%) with non-U.S. equity via ADRs like TSM (Taiwan) and ASML (Netherlands) at about 17%.
With a low expense ratio of 0.35% and AUM over $65 billion, SMH's structure positions it to capture future performance from AI accelerators, data center expansions, and memory demand, as its liquidity-focused methodology amplifies exposure to sector winners.
Several developments could shape SMH's trajectory. Hyperscaler capital expenditures (capex) from firms like Amazon, Microsoft, and Meta are projected to surpass $500-600 billion in 2026 for AI infrastructure, boosting demand for GPUs and custom chips from holdings like NVDA and AVGO. This matters as AI now drives roughly 50% of semiconductor revenue.
HBM shortages are expected to spur 50%+ price increases, favoring memory leaders like MU and equipment providers such as LRCX and ASML. Quarterly earnings from top holdings will provide guidance on AI adoption in cloud, edge, and automotive sectors.
Index rebalancing (semi-annual in March/September, quarterly otherwise) could adjust weights amid market shifts. Continued strong inflows—$3.7 billion in April 2026—support liquidity and price stability. Policy changes like CHIPS Act (Creating Helpful Incentives to Produce Semiconductors) funding may enhance U.S. capacity, reducing reliance on foreign foundries.
The semiconductor sector anticipates $975 billion to $1.3 trillion in 2026 sales, a 25-50% rise, led by AI data centers and inference workloads comprising two-thirds of compute demand. SMH's index benefits from this, given its focus on production leaders.
Lower interest rates ease capex financing for hyperscalers, supporting growth despite rate sensitivity (beta around 1.8). Moderate inflation aids consumer electronics recovery, while robust U.S. GDP bolsters data centers. However, geopolitical risks in Taiwan could impact TSM (10% weight), though CHIPS Act diversification mitigates this.
Global equity trends favor tech amid productivity gains from AI. Currency strength in USD benefits U.S.-listed ADRs, but sector cycles and supply tightness pose volatility risks tied directly to SMH's concentrated assets.
Tickeron’s Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It leverages advanced machine learning to analyze historical patterns, technical indicators, and market data, enabling users to spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The platform includes searchable prediction categories, historical context for past accuracy, and alert-oriented functionality to notify users of shifting outlooks. Designed for both novice and experienced investors, it provides data-driven insights to inform trading decisions. Explore the Trend Prediction Engine today to enhance your market analysis.
Long-term drivers for SMH center on secular semiconductor growth, projected to hit $1 trillion+ annually amid AI proliferation into enterprise, edge computing, robotics, and automotive applications. Technology adoption, particularly 2nm nodes and beyond, will improve AI chip efficiency, sustaining demand for leaders like TSM and NVDA.
Demographic shifts toward digital economies and economic cycles favoring capex in productivity-enhancing tech bolster the index. Market structure evolves with fabless models and consolidation via M&A (mergers and acquisitions). Interest rate normalization supports growth stocks, while global investment trends prioritize U.S.-listed innovators. CHIPS Act incentives enhance domestic resilience. Overall, SMH's positioning in high-margin AI enablers aligns with multi-year themes, though cyclical downturns remain a watchpoint.
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Category Technology
A.I.dvisor indicates that over the last year, SMH has been closely correlated with SHOC. These tickers have moved in lockstep 99% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then SHOC could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | -9.22% | ||
| SHOC - SMH | 99% Closely correlated | -8.99% | ||
| SOXQ - SMH | 99% Closely correlated | -10.19% | ||
| SOXX - SMH | 98% Closely correlated | -10.44% | ||
| FTXL - SMH | 96% Closely correlated | -10.52% | ||
| PSI - SMH | 94% Closely correlated | -10.20% | ||
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SMH saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on June 05, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 49 instances where the indicator turned negative. In of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .
The 10-day RSI Indicator for SMH moved out of overbought territory on June 05, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 47 similar instances where the indicator moved out of overbought territory. In of the 47 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 65 cases where SMH's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SMH declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SMH broke above its upper Bollinger Band on June 02, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in of 365 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 312 cases where SMH Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .