SMH Has Crushed the S&P 500 by 2,041% Over a Decade, But Recent 42% Rally Signals Dangerous Valuations

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By Austin Smith Published
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SMH Has Crushed the S&P 500 by 2,041% Over a Decade, But Recent 42% Rally Signals Dangerous Valuations

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Few sector ETFs have rewarded patience like semiconductors. VanEck Semiconductor ETF (NYSEARCA:SMH | SMH Price Prediction) trades near $510 after returning roughly 141% over the past year against the S&P 500’s 29%. That gap is the entire reason this fund exists in a portfolio: it concentrates exposure to a small group of companies that capture an outsized share of the value created by AI, advanced computing, and digital infrastructure. The same concentration is also why SMH can lose half its value in a downcycle.

What SMH Is Actually Built For

SMH is a focused bet on the global semiconductor supply chain. The fund tracks the MVIS US Listed Semiconductor 25 Index, which holds roughly 25 of the largest chip designers, foundries, and equipment makers listed in the U.S. In practice, that means heavy weights in NVIDIA, Taiwan Semiconductor, Broadcom, ASML, and a handful of others. It works as a sector sleeve for concentrated chip exposure.

The return engine is straightforward: earnings growth from selling the picks and shovels of computing. Unlike a covered-call or income fund, there is no derivative overlay capping upside. Investors capture the full operating leverage of the chip cycle in both directions. When demand for AI accelerators, smartphones, autos, and data center build-outs runs hot, revenue and margins compound quickly. When inventories swell or capex pauses, earnings collapse just as fast.

The macro backdrop helps explain why the fund has worked. The Information sector has grown from 5.4% of GDP in early 2024 to 5.6% in Q4 2025, with growth accelerating to 3.2% in Q3 2025 before settling at 2.5%. Semiconductors are the input layer for that expansion.

Performance Against a Plain Index Fund

SMH has delivered on its premise across every meaningful timeframe. Over five years, it returned 332.46% versus 72.69% for SPDR S&P 500 ETF Trust (NYSEARCA:SPY). The ten-year figure is even more lopsided: 2,041% for SMH against 249.56% for the broad market. A small allocation has done more for portfolio returns over the last decade than most investors realize.

The caveat is that recent performance is running hot. SMH is up about 30% in the past month alone and roughly 42% year to date. That kind of move reflects AI-driven earnings revisions, but it also means new buyers are paying valuations well above the fund’s long-term averages.

The Tradeoffs Investors Should Price In

  1. Single-name concentration. The top three holdings typically account for roughly a third of the fund. NVIDIA alone can swing SMH meaningfully on a single earnings report. This is closer to a concentrated bet than a diversified sector fund.
  2. Cyclical earnings swings. Semiconductor revenue swings with capex cycles, inventory corrections, and end-market demand. Drawdowns of 30% to 50% are part of the cycle. The yield curve spread of 0.51%, sitting in the 19.6th percentile of the past year, hints at moderating growth expectations that historically pressure cyclical sectors first.
  3. Geopolitical and supply chain risk. Taiwan Semiconductor’s fabs and ASML’s lithography monopoly are structural strengths and structural fragilities. Tariff regimes, export controls, and cross-strait tensions all flow directly into the fund’s NAV.

SMH fits best as a 5% to 10% growth sleeve for investors who already own a diversified core, understand semiconductors are cyclical, and can tolerate sharp drawdowns in exchange for sector-leading compounding; anyone treating it as a substitute for an S&P 500 fund is taking concentrated cycle risk they may not be sized for.

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About the Author Austin Smith →

Austin Smith is a financial publisher with over two decades of experience in the markets. He spent over a decade at The Motley Fool as a senior editor for Fool.com, portfolio advisor for Millionacres, and launched new brands in the personal finance and real estate investing space.

His work has been featured on Fool.com, NPR, CNBC, USA Today, Yahoo Finance, MSN, AOL, Marketwatch, and many other publications. Today he writes for 24/7 Wall St and covers equities, REITs, and ETFs for readers. He is as an advisor to private companies, and co-hosts The AI Investor Podcast.

When not looking for investment opportunities, he can be found skiing, running, or playing soccer with his children. Learn more about me here.

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