SMH
Price
$624.62
Change
-$13.28 (-2.08%)
Updated
Jun 4, 01:20 PM (EDT)
Net Assets
73.41B
Intraday BUY SELL Signals
XSD
Price
$649.73
Change
+$9.69 (+1.51%)
Updated
Jun 3 closing price
Net Assets
3.57B
Intraday BUY SELL Signals
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SMH vs XSD

Header iconSMH vs XSD Comparison
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Which ETF would AI Choose? VanEck Semiconductor ETF (SMH) vs. State Street SPDR S&P Semiconductor ETF (XSD)

Key Takeaways

  • SMH offers concentrated exposure to the 25 largest, most liquid U.S.-listed semiconductor companies via market-cap weighting, with top 10 holdings comprising over 70% of assets, emphasizing AI chip leaders like NVDA.
  • XSD provides broader diversification across approximately 44 holdings using a modified equal-weight approach, reducing single-stock risk and highlighting mid-cap semiconductor firms.
  • Both ETFs maintain identical expense ratios of 0.35%, ensuring cost parity in this high-growth sector.
  • SMH exhibits higher concentration risk but superior liquidity with significantly larger assets under management (AUM, assets under management), around $65 billion versus XSD's $2.9 billion.
  • XSD's equal-weight structure may offer lower volatility during sector rotations away from mega-caps, while SMH aligns closely with dominant industry trends.
  • Both focus exclusively on semiconductors (100% sector allocation), but SMH includes global U.S.-listed firms like TSM, enhancing representation of key foundries.

Introduction

In the rapidly evolving semiconductor sector, driven by artificial intelligence (AI) infrastructure demands, VanEck Semiconductor ETF (SMH) and State Street SPDR S&P Semiconductor ETF (XSD) offer compelling yet distinct pathways for investors seeking exposure. While both target the semiconductor industry, they diverge structurally: SMH emphasizes mega-cap leaders fueling AI growth, whereas XSD delivers balanced access across market caps via equal weighting. This comparison is particularly relevant amid surging capital flows into AI chips and data centers, where structural differences influence risk-return profiles and positioning for sector momentum. Investors can use these ETFs to align portfolios with varying preferences for concentration versus diversification within the same high-potential theme.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) is a passive fund that seeks to replicate the MVIS US Listed Semiconductor 25 Index, tracking the performance of the 25 largest and most liquid U.S.-exchange-listed semiconductor companies involved in production and equipment. It holds approximately 26 stocks, with a heavily concentrated portfolio where the top 10 holdings represent over 70% of assets. Key positions include NVDA (around 18%), TSM (around 11%), AVGO (around 8%), INTC (around 7%), and AMD (around 6%). Sector allocation is 100% technology/semiconductors. The expense ratio stands at 0.35%, and the fund is non-diversified by design, favoring market-cap weighting to capture industry leaders. Distinguishing features include global scope via U.S.-listed ADRs (American Depositary Receipts) and high liquidity, supported by substantial AUM exceeding $65 billion.

State Street SPDR S&P Semiconductor ETF (XSD) Overview

The State Street SPDR S&P Semiconductor ETF (XSD) is a passive ETF designed to track the S&P Semiconductor Select Industry Index, a modified equal-weighted benchmark representing the semiconductor sub-industry within the S&P Total Market Index (S&P TMI). It comprises around 44 holdings, promoting unconcentrated exposure across large-, mid-, and small-cap U.S.-based firms. Top holdings, each capped for balance, include MaxLinear (MXL, around 6-7%), INTC (around 4%), SiTime (around 4%), AMD (around 3-4%), and MRVL (around 3%), with top 10 at under 35%. Allocation is 100% semiconductors. The expense ratio is 0.35%, matching peers. Quarterly rebalancing maintains equal weights, enhancing diversification. With AUM near $2.9 billion, it suits tactical bets on broader industry participation beyond mega-caps.

Industry and Thematic Backdrop

The semiconductor sector operates in a dynamic environment propelled by AI infrastructure expansion, with global sales projected to approach $1 trillion in 2026 amid hyperscaler capital expenditures surpassing $600 billion. Key catalysts include surging demand for high-bandwidth memory (HBM), advanced logic chips, and networking components, fueled by generative AI and data center builds. Capital flows heavily favor AI accelerators from leaders like NVDA, while memory experiences a supercycle with prices rising due to constrained supply. Macro drivers encompass interest rate trajectories impacting growth stocks, commodity trends in rare earths, and geopolitical tensions affecting supply chains. Regulatory developments, such as U.S. CHIPS Act subsidies and export controls, bolster domestic fabrication but introduce risks from trade frictions. Sector risks involve cyclical downturns in non-AI end-markets like automotive and consumer electronics, alongside bottlenecks in advanced packaging.

Performance and Positioning Comparison

Over recent market cycles, SMH has demonstrated stronger relative positioning, benefiting from mega-cap dominance in AI-driven rallies, where top holdings like NVDA and TSM amplify gains amid earnings strength in chip design and fabrication. Its market-cap tilt heightens sensitivity to sector leaders, leading to elevated volatility but outperformance during growth phases tied to AI infrastructure and hyperscaler spending. Conversely, XSD's equal-weight methodology fosters resilience in broader rotations, capturing mid-cap upside from equipment makers and specialty semis during diversified recoveries, though it trails in mega-cap-led surges. Volatility profiles differ, with SMH more beta-exposed to tech momentum and XSD offering tempered swings. Positioning reflects interest rate expectations—favoring SMH in low-rate environments—and supply chain shifts, underscoring SMH's alignment with high-momentum trends versus XSD's balanced risk exposure.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that empowers traders and investors to filter thousands of assets using advanced technical patterns, fundamental data, trends, volatility measures, and proprietary AI-driven signals. Customizable filters span industries, market capitalization, technical indicators like RSI (Relative Strength Index) and moving averages, price patterns such as breakouts, and performance metrics including growth rates and momentum scores. This efficiency surpasses manual screening, uncovering trade ideas, trending opportunities, and breakout candidates in real-time. Explore the AI Screener today to streamline your market analysis and identify high-potential semiconductor plays.

Tickeron AI Verdict

Tickeron’s AI currently favors SMH with moderate conviction (65-75% probability edge), owing to its structural alignment with mega-cap AI leaders exhibiting trend consistency, superior sector momentum, and cost efficiency on par with XSD. While XSD's diversification mitigates concentration risk, SMH's exposure to high-growth holdings positions it advantageously amid sustained AI tailwinds, barring major disruptions.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
SMH vs. XSD commentary
Jun 04, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is SMH is a Buy and XSD is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SMH has more net assets: 73.4B vs. XSD (3.57B). XSD has a higher annual dividend yield than SMH: XSD (102.143) vs SMH (77.130). SMH was incepted earlier than XSD: SMH (14 years) vs XSD (20 years). SMH (0.35) and XSD (0.35) have comparable expense ratios . XSD has a higher turnover SMH (12.00) vs SMH (12.00).
SMHXSDSMH / XSD
Gain YTD77.130102.14376%
Net Assets73.4B3.57B2,059%
Total Expense Ratio0.350.35100%
Turnover12.0028.0043%
Yield0.180.13140%
Fund Existence14 years20 years-
TECHNICAL ANALYSIS
Technical Analysis
SMHXSD
RSI
ODDS (%)
Bearish Trend 1 day ago
84%
Bearish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
89%
Bearish Trend 1 day ago
80%
Momentum
ODDS (%)
N/A
N/A
MACD
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Declines
ODDS (%)
Bearish Trend 17 days ago
82%
Bearish Trend 4 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
85%
Bearish Trend 1 day ago
86%
Aroon
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
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SMH
Daily Signal:
Gain/Loss:
XSD
Daily Signal:
Gain/Loss:
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SMH and

Correlation & Price change

A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 85% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SMH
1D Price
Change %
SMH100%
+0.90%
LRCX - SMH
85%
Closely correlated
+2.78%
KLAC - SMH
82%
Closely correlated
+3.91%
AMAT - SMH
81%
Closely correlated
+2.19%
TSM - SMH
80%
Closely correlated
-2.24%
ASML - SMH
79%
Closely correlated
+1.23%
More

XSD and

Correlation & Price change

A.I.dvisor indicates that over the last year, XSD has been closely correlated with MPWR. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSD jumps, then MPWR could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XSD
1D Price
Change %
XSD100%
+1.51%
MPWR - XSD
79%
Closely correlated
+3.99%
SYNA - XSD
78%
Closely correlated
-0.75%
CEVA - XSD
78%
Closely correlated
+0.87%
ALGM - XSD
74%
Closely correlated
+5.52%
RMBS - XSD
71%
Closely correlated
+2.33%
More