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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

Thematic ETFs are often sold as a way to get exposure that a broad market index does not already provide. The data suggests the separation is partial. Across 388 funds, the typical thematic ETF holds 32% of its weight in stocks already found in the S&P 500, and 72 of those funds have more than sixty percent of their weight in index names. Active share, a measure of how much a portfolio differs from the S&P 500 by weight, runs high across most themes, but the in-index share varies widely by theme.

Some themes sit close to the broad market. Energy security and critical technology shows a median 85% of weight already in the S&P 500. Semiconductors sits at 65%, AI infrastructure and chips at 63%, and digital infrastructure and data centers at 62%. Others sit far from it. Cannabis shows 0% in-index weight, coal 0%, silver miners 2%, gold miners 6%, and lithium and battery metals 8%. Defense and infrastructure both show a median 41% in the S&P 500 alongside active share of 98%, meaning the shared portion is concentrated in a smaller set of names while the rest of the portfolio is distinct.

Fees do not track this divide in a simple way. Across 415 funds and 54 themes, the median fee is 0.60%, and when the fee is measured only against the part of each fund that differs from the S&P 500, the median is also 0.60%. At the theme level the two figures are close for most categories: infrastructure, defense, gold miners, and biotech all show matching fee and fee-for-the-difference figures. A few themes show a wider gap, such as artificial intelligence at 0.70% against 0.80%, AI infrastructure and chips at 0.70% against 0.80%, and cannabis at 0.80% against 0.60% in the other direction.

Fund-level comparisons point to further overlap, this time between funds rather than between a fund and the S&P 500. The data identifies 127 pairs of funds whose portfolios are more than half identical by weight. The sampled pairs span gold miners, semiconductors, cybersecurity, infrastructure, biotech, water, and space. GII and IGF, both infrastructure funds, show 97% weight overlap with fees of 0.40% and 0.37%. IBB and IBBQ, both biotech funds, show 86% overlap with fees of 0.44% and 0.19%. Several semiconductor pairs, including SOXQ and SOXX at 83% and SHOC and SMH at 76%, also appear, as do three separate gold miner pairings built around AUAU, GDX, and GDMN.

Performance outcomes over the trailing year varied by theme and did not line up cleanly with in-index share. Semiconductors funds beat the S&P 500 in 9 of 9 cases with a median total return of +68.8%, while defense and infrastructure funds beat it in 0 of 14 cases each, returning −4.9% and +8.2% respectively. Biotech beat it in 8 of 8 cases, returning +39.0%, while clean energy and blockchain and crypto equities beat it in 0 of their fund counts, returning −2.8% and −31.9%.

Readers can look up any individual fund's in-index share, active share, fee, and one-year return, along with its theme classification, 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%
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%
Broad innovation and megatrends3050%92%0.50%0.60%12 of 27+14.3%
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/themes-index

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