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How much of a theme is already the index

By their latest holdings filings, the typical thematic ETF has 30% of its weight in stocks the S&P 500 already holds, and 74 of 379 funds are more than sixty percent index names.

Across 54 themes and 405 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%. 136 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

70 of 157 thematic ETFs with a full year beat the S&P 500 over the year to Sep 28, 2026.

ETFIQ Narrative

A fund labelled thematic does not always look different from a plain index fund once you open it up. As of September 28, 2026, the typical thematic ETF in this dataset holds 30% of its weight in stocks that the S&P 500 already owns, based on the median across 379 funds. That is the whole fund's overlap with the S&P 500, not a single stock's. At the far end, 74 of the 379 funds have more than sixty percent of their weight in names the S&P 500 already holds, meaning the theme sits mostly on top of a large-cap index rather than apart from it.

The overlap varies widely by theme. Semiconductors funds have a median 62% of their weight already in the S&P 500, and AI infrastructure and chips funds sit at 63%. Energy security and critical technology is higher still, at 86%. At the other end, gold miners funds show a median of just 5% overlap, silver miners 2%, and cannabis funds 0%, meaning almost none of their holdings are already in the S&P 500. Semiconductors, at 85% median active share, and AI infrastructure and chips, at 86%, are among the lower active-share readings in the table, meaning their portfolios differ from the S&P 500 by a smaller share of weight than themes like gold miners, silver miners or cannabis, all at 100% active share.

Fees do not track this pattern in a simple way. Across 405 funds spanning 54 themes, the median fee is 0.60%. When the fee is measured only against the part of each portfolio that differs from the S&P 500, stripping out the overlapping weight, the median fee for that difference is also 0.60%. Some themes shift when measured this way. Artificial intelligence funds carry a 0.70% median fee but a 0.80% median fee for the difference, since part of their cost is applied to holdings already available through an S&P 500 fund. Biotech runs the other way, with a 0.50% median fee falling to 0.30% for the difference.

Beyond overlap with the index, some thematic funds overlap heavily with each other. The data identifies 136 pairs of funds whose portfolios are more than half identical by weight, meaning holding both is close to holding one of them twice. The closest examples include PDBA and EVMT in agriculture at 98% weight overlap, AUAU and GDX in gold miners at 83%, and SOXQ and SOXX in semiconductors at 82%, each carrying its own separate fee.

Return patterns also differed sharply by theme over the one-year period shown. Semiconductors funds beat the S&P 500 in 9 of 9 cases with a median total return of +98.4%, while defense funds beat it in 0 of 14 cases with a median return of −0.3%.

Readers can check any fund's current in-index weight, active share, fee and pairwise overlap numbers on the live desk.

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
Semiconductors1162%85%0.30%0.40%9 of 9+98.4%
Defense2239%98%0.50%0.50%0 of 14−0.3%
Gold miners105%100%0.50%0.50%8 of 9+21.9%
Artificial intelligence3656%80%0.70%0.80%16 of 24+31.8%
Memory and storage530%97%0.70%0.80%0 of 0·
Cybersecurity728%99%0.50%0.50%7 of 7+33.0%
Cloud and software846%92%0.40%0.40%3 of 7+11.2%
Infrastructure736%97%0.50%0.50%0 of 6+9.7%
Broad innovation and megatrends3051%86%0.50%0.60%16 of 27+22.2%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−15.6%
Electrification and the grid1150%97%0.50%0.60%3 of 7+9.5%
Internet and e-commerce1331%95%0.70%0.70%0 of 13−14.3%
Silver miners42%100%0.50%0.50%4 of 4+30.2%
Reshoring and manufacturing1036%97%0.60%0.70%5 of 7+21.9%
Copper610%100%0.60%0.60%6 of 6+55.3%
Robotics and automation923%93%0.70%0.70%3 of 6+15.9%
Miners and metals612%100%0.60%0.60%3 of 6+17.0%
Quantum computing424%90%0.50%0.50%1 of 1+46.2%
Clean energy169%99%0.60%0.60%3 of 16+9.4%
Biotech831%99%0.50%0.30%6 of 6+52.3%
Water638%100%0.50%0.60%0 of 6−3.2%
Space1013%100%0.80%0.80%1 of 2+18.9%
Digital infrastructure and data centers962%88%0.50%0.60%7 of 8+33.4%
Therapeutics and medical devices523%98%0.70%0.70%3 of 5+29.1%
Blockchain and crypto equities1420%98%0.60%0.60%0 of 13−4.8%
Rare earth and critical materials78%100%0.60%0.60%3 of 4+20.9%
Genomics and gene editing424%99%0.50%0.50%3 of 3+88.2%
Lithium and battery metals68%100%0.60%0.60%3 of 6+14.8%
Agriculture630%100%0.60%0.60%2 of 6+16.0%
Cannabis50%100%0.80%0.80%2 of 5+14.3%
AI infrastructure and chips1163%86%0.70%0.80%2 of 2+44.3%
Fintech and digital payments639%98%0.70%0.70%0 of 4−17.4%
Shipping, aviation and logistics636%99%0.60%0.60%3 of 4+35.9%
Energy security and critical technology586%95%0.50%0.60%1 of 3+15.8%
Electric vehicles and batteries820%98%0.60%0.60%2 of 6−3.9%
Energy transition and decarbonisation942%98%0.60%0.60%6 of 8+20.5%
Gaming, esports and betting813%100%0.60%0.60%0 of 7−19.2%
Travel and leisure335%99%0.70%0.70%0 of 2−11.3%
Timber and forestry219%100%0.60%0.60%0 of 2−2.2%
Metaverse and immersive tech446%77%0.60%0.80%1 of 4+9.2%
Stablecoins and tokenisation518%98%0.70%0.70%1 of 2+11.9%
Photonics and optics327%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.60%0.60%0 of 2+3.8%
Healthcare innovation and GLP-1833%98%0.60%0.60%5 of 8+26.1%
Millennial and Gen Z consumers166%84%0.50%0.60%0 of 1−15.0%
Longevity and aging255%96%0.50%0.50%0 of 1+14.0%
Coal10%100%0.80%0.80%0 of 1+12.5%
3D printing127%99%0.70%0.70%0 of 1+7.8%
Streaming and live entertainment419%99%0.80%0.80%0 of 2−22.8%
Pets132%99%0.50%0.50%0 of 1−12.9%
Cooling and thermal management156%98%1.00%1.00%0 of 1+13.2%
Nanotechnology119%94%0.60%0.60%1 of 1+56.3%
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

PairWeight overlapThemeFee, firstFee, second
PDBA and EVMT98%Agriculture0.59%0.59%
AUAU and GDX83%Gold miners0.35%0.51%
SOXQ and SOXX82%Semiconductors0.19%0.33%
ORBX and MARS82%Space0.50%0.75%
SHOC and SMH78%Semiconductors0.40%0.35%
ORBX and WARP78%Space0.50%0.50%
GDX and GDMN77%Gold miners0.51%0.45%
FTXL and SOXX77%Semiconductors0.60%0.33%
SPAM and PSWD76%Cybersecurity0.35%0.20%
FIW and PHO76%Water0.50%0.59%
MARS and WARP75%Space0.75%0.50%
BUG and WCBR75%Cybersecurity0.50%0.45%
AUAU and GDMN75%Gold miners0.35%0.45%
SOXQ and SMH74%Semiconductors0.19%0.35%
SOXQ and SHOC74%Semiconductors0.19%0.40%
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 →

Cite this page

ETFIQ Research, How much of a theme is already the index, data as of Sep 28, 2026. https://etfiq.com/research/2026-09-29/themes-index

Open data →

Free to use with attribution; the underlying files are at Open data.