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How much of a theme is already the index

By their latest holdings filings, the typical thematic ETF has 32% of its weight in stocks the S&P 500 already holds, and 73 of 392 funds are more than sixty percent index names.

Across 54 themes and 419 funds, the median fee is 0.60%; measured against only the part of each fund that differs from the S&P 500, the median fee for the difference is 0.60%. 128 pairs of funds hold portfolios that are more than half identical by weight; holding both is close to holding one of them twice.

Beat the S&P 500 over one year, by theme

47 of 166 thematic ETFs with a full year beat the S&P 500 over the year to Oct 16, 2026.

ETFIQ Narrative

A thematic ETF is often sold as a way to own a specific idea, from semiconductors to gold miners, separate from the broad market. The holdings data suggest the separation is partial. Across 392 funds, the typical thematic ETF holds 32% of its weight in stocks already in the S&P 500. In 73 of those funds, more than sixty percent of the portfolio by weight overlaps with the index. How much overlap exists varies sharply by theme. Energy security and critical technology shows a median of 85% of weight already in the S&P 500, and semiconductors and AI infrastructure and chips both show 65%. At the other end, cannabis, coal, silver miners and gold miners show medians of 0% to 5%, meaning those portfolios hold almost nothing that the S&P 500 already owns.

Active share, which measures how different a fund's weights are from the index, tends to run high even where in-index weight is also high. Semiconductors combines a 65% in-index number with an 85% active share, and AI infrastructure and chips pairs 65% with 87%. This happens because active share accounts for both which names are held and how heavily, so a fund can hold mostly familiar stocks while still weighting them very differently from the S&P 500.

Fees sit at a median of 0.60% across 54 themes and 419 funds. When the fee is measured only against the part of each portfolio that differs from the S&P 500, the median is also 0.60%. Theme by theme, the two numbers are close in most rows, for instance infrastructure shows 0.60% on both measures and clean energy shows 0.60% on both. In some themes the fee for the difference runs higher than the headline fee, as in artificial intelligence (0.70% versus 0.80%) and AI infrastructure and chips (0.70% versus 0.80%), while in cannabis it runs lower (0.80% versus 0.60%).

Beyond overlap with the index, some funds overlap heavily with each other. The data show 128 pairs of funds with portfolios more than half identical by weight. The closest examples include GII and IGF in infrastructure at 97% weight overlap, with fees of 0.40% and 0.37%, and IBB and IBBQ in biotech at 86%, with fees of 0.44% and 0.19%. Several semiconductor pairs also appear with overlaps in the mid-to-high seventies, including SOXQ and SOXX at 83% and FTXL and SOXX at 78%. In cases like these, holding both funds in a pair is close to holding one of them twice, though the fees attached to each side of a pair can differ.

Return patterns over the one-year period varied widely by theme, from semiconductors at +64.4% median total return to blockchain and crypto equities at −34.7%, with the number of funds beating the S&P 500 also ranging from 9 of 9 in semiconductors to 0 of 13 or more in several other themes. These numbers describe what happened in the period measured and are not a measure of overlap or cost.

Readers can look up any individual fund's in-index weight, active share, fee, and its closest overlapping pairs on ETFIQ's fund pages.

By theme, largest assets first

By theme, largest assets first
ThemeFundsMedian in the S&P 500Median active shareMedian feeMedian fee for the differenceBeat the S&P 500, one yearMedian total return, one year
Semiconductors1165%85%0.30%0.40%9 of 9+64.4%
Defense2241%98%0.50%0.50%0 of 14−2.9%
Gold miners105%100%0.50%0.50%0 of 9+4.6%
Artificial intelligence3659%80%0.70%0.80%14 of 25+19.5%
Infrastructure1841%98%0.60%0.60%0 of 14+8.1%
Biotech1031%99%0.40%0.40%8 of 8+35.2%
Memory and storage529%97%0.70%0.80%0 of 0·
Cybersecurity729%99%0.50%0.50%7 of 7+30.6%
Cloud and software846%92%0.40%0.40%4 of 7+18.5%
Broad innovation and megatrends3151%89%0.50%0.60%11 of 28+12.3%
Electrification and the grid1251%97%0.60%0.60%0 of 8+9.1%
Internet and e-commerce1330%95%0.70%0.70%0 of 13−12.6%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−31.5%
Reshoring and manufacturing1038%97%0.60%0.70%4 of 7+21.6%
Copper610%100%0.60%0.60%6 of 6+32.4%
Silver miners42%100%0.50%0.50%0 of 4+7.2%
Robotics and automation923%94%0.80%0.80%1 of 6+3.7%
Miners and metals612%100%0.60%0.60%2 of 6−2.8%
Quantum computing437%84%0.40%0.50%1 of 2+9.4%
Water636%100%0.50%0.50%0 of 6−2.8%
Clean energy1610%99%0.60%0.60%0 of 16−5.5%
Genomics and gene editing425%99%0.50%0.50%3 of 3+51.6%
Space1015%100%0.80%0.80%0 of 2−0.3%
Digital infrastructure and data centers962%88%0.50%0.60%6 of 8+20.1%
Therapeutics and medical devices522%98%0.70%0.70%1 of 5+4.9%
Blockchain and crypto equities1419%98%0.60%0.60%0 of 13−34.7%
Rare earth and critical materials78%100%0.60%0.60%1 of 4−0.8%
Agriculture621%100%0.60%0.60%2 of 6+14.9%
Lithium and battery metals58%100%0.60%0.60%0 of 5+2.3%
Cannabis50%100%0.80%0.60%0 of 5−26.3%
AI infrastructure and chips1165%87%0.70%0.80%2 of 3+25.3%
Fintech and digital payments642%98%0.60%0.60%0 of 4−15.2%
Shipping, aviation and logistics635%99%0.60%0.60%3 of 4+39.4%
Energy security and critical technology585%95%0.50%0.60%0 of 4+14.0%
Electric vehicles and batteries820%98%0.50%0.50%0 of 6−11.5%
Energy transition and decarbonisation942%98%0.60%0.60%5 of 9+21.8%
Gaming, esports and betting817%100%0.60%0.60%0 of 7−14.0%
Travel and leisure335%99%0.60%0.60%0 of 2−3.8%
Timber and forestry226%100%0.60%0.60%0 of 2−0.4%
Metaverse and immersive tech445%80%0.60%0.80%0 of 4+8.8%
Stablecoins and tokenisation520%98%0.70%0.70%0 of 2−5.0%
Photonics and optics318%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2−12.4%
Healthcare innovation and GLP-1835%98%0.60%0.60%4 of 8+16.1%
Millennial and Gen Z consumers169%84%0.50%0.60%0 of 1−8.1%
Longevity and aging255%96%0.40%0.40%0 of 1+11.2%
Coal10%100%0.80%0.80%0 of 1+4.6%
3D printing129%99%0.70%0.70%0 of 1+4.4%
Streaming and live entertainment420%99%0.60%0.60%0 of 2−19.2%
Pets132%99%0.50%0.50%0 of 1−7.7%
Cooling and thermal management156%98%1.00%1.00%0 of 1+1.1%
Nanotechnology119%93%0.60%0.60%1 of 1+33.1%
Beauty and personal care148%99%0.30%0.30%0 of 0·
AI labs and single company AI6··0.60%·0 of 0·

Same portfolio, two names: pairs more than half identical

Same portfolio, two names: pairs more than half identical
PairWeight overlapThemeFee, firstFee, second
GII and IGF97%Infrastructure0.40%0.37%
IBB and IBBQ86%Biotech0.44%0.19%
AUAU and GDX84%Gold miners0.35%0.51%
SOXQ and SOXX83%Semiconductors0.19%0.33%
FTXL and SOXX78%Semiconductors0.60%0.33%
SHOC and SMH76%Semiconductors0.40%0.35%
PSWD and SPAM76%Cybersecurity0.20%0.35%
FIW and PHO75%Water0.50%0.59%
AUAU and GDMN75%Gold miners0.35%0.45%
SMH and SOXQ74%Semiconductors0.35%0.19%
MARS and WARP74%Space0.75%0.50%
GDMN and GDX74%Gold miners0.45%0.51%
BUG and WCBR74%Cybersecurity0.50%0.45%
WCBR and XA73%Cybersecurity0.45%0.35%
SHOC and SOXQ73%Semiconductors0.40%0.19%
Method

Holdings from each fund’s latest public SEC N-PORT filing (issuer daily files for ARK and First Trust); in-index weight and active share computed by ETFIQ against the IVV and QQQM books; fees from prospectus XBRL; returns from Tiingo end-of-day prices with distributions reinvested. Themes are ETFIQ’s editorial taxonomy. Medians across funds. Rebuilt every trading night.

Data file: thematic.json. ETFIQ is an independent publisher and makes no recommendations. Standards →

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ETFIQ Research, How much of a theme is already the index, data as of Oct 16, 2026. https://etfiq.com/research/2026-10-16/themes-index

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Free to use with attribution for data ETFIQ computes; issuer data stays under its owner's terms. The underlying files are at Open data.