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How much of a theme is already the index

By their latest holdings filings, the typical thematic ETF has 26% of its weight in stocks the S&P 500 already holds, and 61 of 391 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%. 131 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

57 of 164 thematic ETFs with a full year beat the S&P 500 over the year to Oct 9, 2026.

ETFIQ Narrative

Thematic ETFs are often described as a way to make a targeted bet away from the broad market. The data suggests that bet is frequently smaller than it looks. Across 391 funds with usable holdings data, the typical thematic fund holds 26% of its weight in stocks that are already in the S&P 500. 61 of those 391 funds are more than sixty percent overlapped with the index, meaning that for those funds, most of the portfolio is index exposure wrapped in a thematic label.

The picture varies by theme. Gold miners, internet and e-commerce, clean energy, agriculture, copper, rare earth and critical materials, lithium and battery metals, and a handful of smaller categories show a median of 0% to 7% in the S&P 500, with active share at or near 100%, meaning these portfolios look almost nothing like the index by weight. At the other end, energy security and critical technology shows a median 85% in the S&P 500 with 95% active share, AI infrastructure and chips shows 59% with 95% active share, and digital infrastructure and data centers shows 51% with 88% active share. Artificial intelligence, at 36 funds the second-largest theme by fund count, has a median 56% in the S&P 500 and 82% active share, among the lower active-share readings in the table.

Fees do not generally adjust for this. Across 54 themes and 419 funds, the median fee is 0.60%, and when that fee is measured only against the part of each portfolio that differs from the S&P 500, the median fee for the difference is also 0.60%. In other words, the price charged for the differentiated slice of these portfolios is, on a median basis, the same as the price charged for the whole thing.

Overlap also exists between pairs of funds, not just between funds and the index. The data shows 131 pairs of funds across all themes with portfolios more than half identical by weight, a point ETFIQ describes as holding both being close to holding one of them twice. The listed examples include GII and IGF in infrastructure at 97% weight overlap, with fees of 0.40% and 0.37%; IBB and IBBQ in biotech at 86% overlap, with fees of 0.44% and 0.19%; and three semiconductor pairings, SOXQ and SOXX at 83%, FTXL and SOXX at 78%, and SHOC and SMH at 77%, each carrying a different fee for the same theme. Space, gold miners, cybersecurity, and water also appear among the listed pairs.

Performance over the trailing year ranged widely by theme, from semiconductors at +84.4% median total return, where 9 of 9 funds beat the S&P 500, to blockchain and crypto equities at −30.1%, where 0 of 13 did. Readers can look up any individual fund's in-index weight, active share, fee, and the fee measured against only its differentiated holdings 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
Semiconductors1148%89%0.30%0.40%9 of 9+84.4%
Defense2239%98%0.50%0.50%0 of 14−6.8%
Artificial intelligence3656%82%0.70%0.80%16 of 24+28.6%
Gold miners100%100%0.50%0.50%6 of 9+22.8%
Infrastructure1835%98%0.60%0.60%0 of 14+6.6%
Biotech1024%99%0.40%0.40%8 of 8+40.2%
Memory and storage529%97%0.70%0.80%0 of 0·
Cybersecurity728%99%0.50%0.50%7 of 7+39.4%
Cloud and software846%92%0.40%0.40%4 of 7+22.6%
Electrification and the grid1246%97%0.60%0.60%3 of 8+9.3%
Broad innovation and megatrends3148%92%0.50%0.60%15 of 28+19.3%
Internet and e-commerce130%100%0.70%0.70%0 of 13−15.2%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−21.3%
Reshoring and manufacturing1016%99%0.60%0.70%5 of 7+21.9%
Copper60%100%0.60%0.60%6 of 6+39.4%
Silver miners42%100%0.50%0.50%3 of 4+26.9%
Robotics and automation911%98%0.80%0.70%3 of 6+10.2%
Miners and metals61%100%0.60%0.60%2 of 6+10.2%
Quantum computing436%84%0.40%0.50%1 of 2+19.9%
Clean energy167%100%0.60%0.60%0 of 16+2.2%
Water632%100%0.50%0.50%0 of 6−3.8%
Space1014%100%0.80%0.80%0 of 2+3.2%
Digital infrastructure and data centers951%88%0.50%0.50%7 of 8+32.9%
Therapeutics and medical devices522%98%0.70%0.70%1 of 5+13.1%
Blockchain and crypto equities1418%98%0.60%0.60%0 of 13−30.1%
Genomics and gene editing415%99%0.50%0.50%3 of 3+65.7%
Rare earth and critical materials70%100%0.60%0.60%1 of 4+8.6%
Agriculture60%100%0.60%0.60%1 of 6+13.2%
Lithium and battery metals50%100%0.60%0.60%1 of 5+9.5%
Cannabis50%100%0.80%0.60%0 of 5−23.8%
AI infrastructure and chips1159%95%0.70%0.70%3 of 3+48.5%
Fintech and digital payments639%98%0.60%0.60%0 of 4−18.4%
Shipping, aviation and logistics634%99%0.60%0.60%3 of 4+43.5%
Energy security and critical technology585%95%0.50%0.60%1 of 4+14.8%
Electric vehicles and batteries813%98%0.50%0.50%0 of 6−6.1%
Energy transition and decarbonisation942%98%0.60%0.60%5 of 8+23.5%
Gaming, esports and betting815%100%0.60%0.60%0 of 7−15.8%
Travel and leisure334%99%0.60%0.60%0 of 2−6.2%
Metaverse and immersive tech443%81%0.60%0.70%0 of 4+9.3%
Timber and forestry211%100%0.60%0.60%0 of 2−2.3%
Stablecoins and tokenisation519%98%0.70%0.70%0 of 2−1.4%
Photonics and optics318%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2−3.5%
Healthcare innovation and GLP-1834%98%0.60%0.60%4 of 8+14.8%
Millennial and Gen Z consumers10%100%0.50%0.50%0 of 1−11.1%
Longevity and aging225%99%0.40%0.40%0 of 1+6.7%
Coal10%100%0.80%0.80%0 of 1+7.8%
3D printing128%99%0.70%0.70%0 of 1+7.7%
Streaming and live entertainment420%99%0.60%0.60%0 of 2−19.4%
Pets10%100%0.50%0.50%0 of 1−11.4%
Cooling and thermal management156%98%1.00%1.00%0 of 1+11.6%
Nanotechnology10%100%0.60%0.60%1 of 1+52.6%
Beauty and personal care147%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%
MARS and ORBX84%Space0.75%0.50%
SOXQ and SOXX83%Semiconductors0.19%0.33%
AUAU and GDX83%Gold miners0.35%0.51%
ORBX and WARP79%Space0.50%0.50%
FTXL and SOXX78%Semiconductors0.60%0.33%
SHOC and SMH77%Semiconductors0.40%0.35%
PSWD and SPAM76%Cybersecurity0.20%0.35%
MARS and WARP76%Space0.75%0.50%
FIW and PHO76%Water0.50%0.59%
BUG and WCBR75%Cybersecurity0.50%0.45%
SMH and SOXQ74%Semiconductors0.35%0.19%
GDMN and GDX74%Gold miners0.45%0.51%
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 9, 2026. https://etfiq.com/research/2026-10-12/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.