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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

46 of 164 thematic ETFs with a full year beat the S&P 500 over the year to Oct 14, 2026.

ETFIQ Narrative

Thematic ETFs are often sold as a way to target a specific idea, from semiconductors to space to gene editing. The data behind those labels tells a more mixed story. Across 392 funds, the typical thematic ETF holds 32% of its weight in stocks already found in the S&P 500. Put another way, the median fund's active share, the portion of its portfolio that differs from the index, is well below total. 73 of the 392 funds are more than sixty percent index names by weight, meaning the "theme" sits on top of a large base of familiar large-cap holdings.

This varies a great deal by theme. Energy security and critical technology funds show a median 85% of weight already in the S&P 500, and AI infrastructure and chips and Semiconductors both show 65%. At the other end, Cannabis funds show 0% in the index, and Silver miners and Gold miners show 2% and 6%. Active share follows the same pattern in reverse: Gold miners, Nuclear and uranium, Space, Rare earth and critical materials, Lithium and battery metals and several others show 100% active share, while Metavered and immersive tech, Artificial intelligence and Quantum computing sit lower, in the 80s.

Fees do not track this distinction closely. Across 419 funds in 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 fee for that difference is also 0.60%. Theme by theme, the two numbers are close in most rows, for example Infrastructure at 0.60% and 0.60%, or Robotics and automation at 0.80% and 0.80%. A few themes show a small gap, such as Artificial intelligence at 0.70% against 0.80%, or Cannabis at 0.80% against 0.60%.

A separate pattern shows up between funds rather than within them. 128 pairs of funds hold portfolios that are more than half identical by weight, meaning that holding both is close to holding one of them twice. The listed examples include GII and IGF in Infrastructure at 97% weight overlap, IBB and IBBQ in Biotech at 86%, and several semiconductor pairs, including SOXQ and SOXX at 83% and FTXL and SOXX at 78%. Fees on these overlapping pairs differ in some cases, as with IBB at 0.44% against IBBQ at 0.19%, and SOXQ at 0.19% against SOXX at 0.33%.

One-year total returns, where reported, ranged widely across themes, from Semiconductors at +78.5% and Genomics and gene editing at +62.8% to Blockchain and crypto equities at −37.4% and Nuclear and uranium at −34.3%. These numbers sit alongside the in-index and active share numbers in the same table, so a reader can see return, index overlap and fee side by side for each theme.

Readers can look up any individual fund's in-index percentage, active share, fee, and overlap with other funds in the same theme 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+78.5%
Defense2241%98%0.50%0.50%0 of 14−6.3%
Artificial intelligence3659%80%0.70%0.80%16 of 24+23.7%
Gold miners106%100%0.50%0.50%0 of 9+8.3%
Infrastructure1841%98%0.60%0.60%0 of 14+6.7%
Biotech1031%99%0.40%0.40%8 of 8+39.6%
Memory and storage529%97%0.70%0.80%0 of 0·
Cybersecurity729%99%0.50%0.50%7 of 7+34.9%
Cloud and software846%92%0.40%0.40%4 of 7+21.4%
Electrification and the grid1251%97%0.60%0.60%1 of 8+8.5%
Broad innovation and megatrends3151%89%0.50%0.60%12 of 28+16.1%
Internet and e-commerce1330%95%0.70%0.70%0 of 13−14.2%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−34.3%
Reshoring and manufacturing1038%97%0.60%0.70%4 of 7+23.0%
Copper610%100%0.60%0.60%5 of 6+33.9%
Silver miners42%100%0.50%0.50%1 of 4+10.5%
Robotics and automation923%93%0.80%0.80%2 of 6+6.9%
Miners and metals612%100%0.60%0.60%2 of 6−1.3%
Quantum computing437%84%0.40%0.50%1 of 2+9.8%
Clean energy1610%99%0.60%0.60%0 of 16−4.6%
Water636%100%0.50%0.50%0 of 6−3.9%
Space1014%100%0.80%0.80%0 of 2−1.7%
Digital infrastructure and data centers962%88%0.50%0.60%6 of 8+25.4%
Therapeutics and medical devices522%98%0.70%0.70%1 of 5+9.5%
Blockchain and crypto equities1419%98%0.60%0.60%0 of 13−37.4%
Genomics and gene editing425%99%0.50%0.50%3 of 3+62.8%
Rare earth and critical materials78%100%0.60%0.60%1 of 4−3.4%
Agriculture621%100%0.60%0.60%2 of 6+16.9%
Lithium and battery metals58%100%0.60%0.60%0 of 5+5.0%
Cannabis50%100%0.80%0.60%0 of 5−24.1%
AI infrastructure and chips1165%87%0.70%0.80%2 of 3+33.5%
Fintech and digital payments642%98%0.60%0.60%0 of 4−17.4%
Shipping, aviation and logistics634%99%0.60%0.60%3 of 4+42.4%
Energy security and critical technology585%95%0.50%0.60%0 of 4+14.7%
Electric vehicles and batteries820%98%0.50%0.50%0 of 6−9.9%
Energy transition and decarbonisation942%98%0.60%0.60%5 of 8+23.7%
Gaming, esports and betting817%100%0.60%0.60%0 of 7−15.1%
Travel and leisure334%99%0.60%0.60%0 of 2−6.8%
Timber and forestry226%100%0.60%0.60%0 of 2−1.2%
Metaverse and immersive tech445%80%0.60%0.80%0 of 4+8.5%
Stablecoins and tokenisation520%98%0.70%0.70%0 of 2−5.3%
Photonics and optics318%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2−8.6%
Healthcare innovation and GLP-1835%98%0.60%0.60%4 of 8+17.0%
Millennial and Gen Z consumers169%84%0.50%0.60%0 of 1−10.9%
Longevity and aging255%96%0.40%0.40%0 of 1+8.8%
Coal10%100%0.80%0.80%0 of 1+2.0%
3D printing129%99%0.70%0.70%0 of 1+4.6%
Streaming and live entertainment420%99%0.60%0.60%0 of 2−19.6%
Pets132%99%0.50%0.50%0 of 1−8.5%
Cooling and thermal management156%98%1.00%1.00%0 of 1+4.5%
Nanotechnology119%93%0.60%0.60%1 of 1+44.7%
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 PHO76%Water0.50%0.59%
MARS and WARP75%Space0.75%0.50%
AUAU and GDMN75%Gold miners0.35%0.45%
SMH and SOXQ74%Semiconductors0.35%0.19%
SHOC and SOXQ74%Semiconductors0.40%0.19%
GDMN and GDX74%Gold miners0.45%0.51%
BUG and WCBR74%Cybersecurity0.50%0.45%
FTXL and SOXQ73%Semiconductors0.60%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 14, 2026. https://etfiq.com/research/2026-10-15/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.