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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 72 of 388 funds are more than sixty percent index names.

Across 54 themes and 415 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%. 127 pairs of funds hold portfolios that are more than half identical by weight.

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

59 of 165 thematic ETFs with a full year beat the S&P 500 over the year to Oct 21, 2026.

ETFIQ Narrative

A theme fund's name describes a story, but its holdings describe something more measurable: how much of that fund already sits inside the S&P 500. Across the 388 thematic ETFs ETFIQ checked against their latest N-PORT filings, the typical fund holds 32% of its weight in stocks the S&P 500 already owns, and 72 of those 388 funds carry more than sixty percent of their weight in index names.

The theme-level numbers spread widely. Energy security and critical technology shows the highest median overlap with the S&P 500 at 85%, followed by AI infrastructure and chips at 63% and digital infrastructure and data centers at 62%. At the other end, cannabis funds show 0% overlap with the S&P 500, and silver miners sit at 2%. Gold miners, coal, copper, rare earth and critical materials, and lithium and battery metals all show overlap in the single digits. Active share, the measure of how different a portfolio is from the index by weight, mirrors this: gold miners, silver miners, nuclear and uranium, water, and several metals and mining themes post active share of 100%, while energy security and critical technology, at 95%, and semiconductors, at 85%, sit lower.

Fees do not track this overlap in any simple way across the full set. The median fee across 415 funds and 54 themes is 0.60%, and when ETFIQ measures the fee against only the portion of each portfolio that differs from the S&P 500, the median fee for that difference is also 0.60%. Within individual themes the two numbers sometimes diverge: artificial intelligence funds charge a median 0.70% overall but 0.80% measured against the non-index portion, while cannabis funds charge 0.80% overall but 0.60% against the difference.

Overlap between funds, not just between a fund and the index, also appears in the data. ETFIQ found 127 pairs of funds across all themes whose portfolios are more than half identical by weight. The listed examples include GII and IGF in infrastructure, which overlap by 97%, IBB and IBBQ in biotech at 86%, and AUAU and GDX in gold miners at 84%. Several semiconductor pairs also appear with high overlap, including SOXQ and SOXX at 83% and FTXL and SOXX at 78%. Fees on these overlapping pairs vary: IBB charges 0.44% against IBBQ's 0.19%, while SOXQ charges 0.19% against SOXX's 0.33%.

One-year returns, measured against the S&P 500, split along similar lines. Semiconductors funds beat the S&P 500 in 9 of 9 cases with a median total return of +68.8%, and biotech did so in all 8 of its funds, returning +39.0%. Defense, infrastructure, internet and e-commerce, nuclear and uranium, clean energy, blockchain and crypto equities, and electric vehicles and batteries each show 0 funds beating the S&P 500 over the same period, with median returns ranging from +8.2% for infrastructure down to −31.9% for blockchain and crypto equities.

Readers can look up any individual fund's in-index weight, active share, fee, and one-year return, along with its closest-overlapping peer fund, 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+68.8%
Defense2241%98%0.50%0.50%0 of 14−4.9%
Gold miners106%100%0.50%0.50%7 of 9+21.0%
Artificial intelligence3659%80%0.70%0.80%17 of 25+22.8%
Infrastructure1841%98%0.60%0.60%0 of 14+8.2%
Biotech1032%99%0.40%0.40%8 of 8+39.0%
Memory and storage529%97%0.70%0.80%0 of 0·
Cybersecurity732%99%0.50%0.50%7 of 7+33.6%
Cloud and software846%92%0.40%0.40%4 of 7+22.8%
Broad innovation and megatrends3050%92%0.50%0.60%12 of 27+14.3%
Internet and e-commerce1330%95%0.70%0.70%0 of 13−13.6%
Electrification and the grid1251%97%0.60%0.60%0 of 8+8.7%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−22.5%
Reshoring and manufacturing844%96%0.70%0.70%2 of 5+14.5%
Copper610%100%0.60%0.60%6 of 6+36.5%
Silver miners42%100%0.50%0.50%3 of 4+26.3%
Robotics and automation920%94%0.80%0.80%1 of 6+5.6%
Miners and metals613%100%0.60%0.60%2 of 6+10.7%
Quantum computing437%84%0.40%0.50%1 of 2+15.7%
Water636%100%0.50%0.50%0 of 6−3.9%
Clean energy169%99%0.60%0.60%0 of 16−2.8%
Space1015%100%0.80%0.80%0 of 2+2.8%
Digital infrastructure and data centers962%88%0.50%0.60%6 of 8+22.6%
Therapeutics and medical devices522%98%0.70%0.70%1 of 5+7.5%
Blockchain and crypto equities1419%98%0.60%0.60%0 of 13−31.9%
Genomics and gene editing423%99%0.50%0.50%3 of 3+57.7%
Rare earth and critical materials78%100%0.60%0.60%1 of 4+5.2%
Agriculture631%100%0.60%0.60%2 of 6+13.4%
Lithium and battery metals58%100%0.60%0.60%0 of 5+3.9%
Cannabis50%100%0.80%0.60%0 of 5−16.7%
AI infrastructure and chips1163%87%0.70%0.80%2 of 3+32.4%
Fintech and digital payments643%98%0.60%0.60%0 of 4−16.1%
Shipping, aviation and logistics635%99%0.60%0.60%3 of 4+39.1%
Energy security and critical technology585%95%0.50%0.60%0 of 4+14.7%
Energy transition and decarbonisation942%98%0.60%0.60%6 of 9+21.4%
Electric vehicles and batteries820%98%0.50%0.50%0 of 6−11.2%
Gaming, esports and betting816%100%0.60%0.60%0 of 7−14.7%
Travel and leisure335%99%0.60%0.60%0 of 2−4.7%
Timber and forestry226%100%0.60%0.60%0 of 2−2.1%
Metaverse and immersive tech344%81%0.60%0.70%0 of 3+4.7%
Stablecoins and tokenisation520%98%0.70%0.70%0 of 2−3.3%
Photonics and optics318%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2−8.8%
Healthcare innovation and GLP-1835%98%0.60%0.60%4 of 8+18.0%
Millennial and Gen Z consumers175%84%0.50%0.60%0 of 1−11.1%
Longevity and aging254%96%0.40%0.40%0 of 1+12.0%
Coal10%100%0.80%0.80%0 of 1+7.2%
3D printing126%99%0.70%0.70%0 of 1+4.6%
Streaming and live entertainment420%99%0.60%0.60%0 of 2−18.3%
Pets131%99%0.50%0.50%0 of 1−9.1%
Cooling and thermal management156%98%1.00%1.00%0 of 1+1.7%
Nanotechnology119%93%0.60%0.60%1 of 1+35.0%
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%
MARS and WARP76%Space0.75%0.50%
FIW and PHO75%Water0.50%0.59%
AUAU and GDMN75%Gold miners0.35%0.45%
SMH and SOXQ74%Semiconductors0.35%0.19%
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 21, 2026. https://etfiq.com/research/2026-10-21/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.