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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 380 funds are more than sixty percent index names.

Across 54 themes and 406 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

72 of 158 thematic ETFs with a full year beat the S&P 500 over the year to Sep 25, 2026.

ETFIQ Narrative

A look inside thematic ETFs shows that a meaningful share of their holdings are stocks already found in the S&P 500. Across 380 funds with the relevant data, the typical, or median, thematic fund has 30% of its weight in S&P 500 names. That leaves a median active share of 70%, meaning the remaining holdings sit outside the mainstream index. The overlap is not evenly spread: 74 of the 380 funds carry more than sixty percent of their weight in stocks the S&P 500 already holds.

The pattern varies widely by theme. Energy security and critical technology shows a median 86% of weight already in the S&P 500, alongside AI infrastructure and chips at 63% and Semiconductors at 62%. At the other end, Cannabis and Coal each show a median 0% in the S&P 500, and Silver miners sits at 2%. Gold miners, at 5%, and Nuclear and uranium, at 16%, also sit far from the mainstream index by this measure.

Fees tell a related story. Across 54 themes and 406 funds, the median fee is 0.60%. When the fee is measured only against the part of a fund that differs from the S&P 500, the median fee for that difference is also 0.60%, suggesting that, in aggregate, investors are not paying a markedly different rate for the distinct portion of these portfolios than for the whole. Within individual themes the two numbers sometimes diverge: Biotech shows a median fee of 0.50% against the whole fund but 0.30% for the difference, while Semiconductors shows 0.30% against the whole fund and 0.40% for the difference.

One-year total returns, measured against the S&P 500, ranged from +102.3% for Semiconductors (where 9 of 9 funds beat the index) to −14.8% for Nuclear and uranium (where 0 of 8 funds did). Defense funds returned +1.9% with 0 of 14 beating the S&P 500, while Internet and e-commerce returned −14.1% with 0 of 13 ahead of the index. Genomics and gene editing posted +90.6% with 3 of 3 funds ahead.

The data also point to overlap between individual funds, not just against the S&P 500. Among 406 funds, 136 pairs hold portfolios that are more than half identical by weight, meaning that for these pairs, holding both is close to holding one of them twice. The highest overlap recorded is 98%, between PDBA and EVMT in the Agriculture theme, both carrying a fee of 0.59%. Other close pairs include AUAU and GDX in Gold miners at 83% overlap, and SOXQ and SOXX in Semiconductors at 82% overlap.

Readers can check any fund's current in-index weight, active share, fee for the difference, and its listed overlap pairs 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+102.3%
Defense2239%98%0.50%0.50%0 of 14+1.9%
Gold miners105%100%0.50%0.50%9 of 9+32.1%
Artificial intelligence3656%80%0.70%0.80%17 of 24+33.6%
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+13.1%
Infrastructure736%97%0.50%0.50%0 of 6+11.6%
Broad innovation and megatrends3051%86%0.50%0.60%16 of 27+23.4%
Nuclear and uranium1016%100%0.70%0.70%0 of 8−14.8%
Electrification and the grid1150%97%0.50%0.60%3 of 7+11.9%
Internet and e-commerce1331%95%0.70%0.70%0 of 13−14.1%
Silver miners42%100%0.50%0.50%4 of 4+40.7%
Reshoring and manufacturing1036%97%0.60%0.70%5 of 7+24.7%
Copper610%100%0.60%0.60%6 of 6+60.6%
Robotics and automation923%93%0.70%0.70%3 of 5+21.1%
Miners and metals612%100%0.60%0.60%4 of 6+21.5%
Quantum computing424%90%0.40%0.50%1 of 1+48.0%
Clean energy169%99%0.60%0.60%3 of 16+11.2%
Biotech831%99%0.50%0.30%6 of 6+53.4%
Water638%100%0.50%0.60%0 of 6−2.2%
Space1013%100%0.80%0.80%1 of 2+21.9%
Digital infrastructure and data centers962%88%0.50%0.60%7 of 8+35.4%
Therapeutics and medical devices523%98%0.70%0.70%3 of 5+31.6%
Blockchain and crypto equities1519%98%0.60%0.60%0 of 14−2.2%
Rare earth and critical materials78%100%0.60%0.60%3 of 4+23.8%
Genomics and gene editing424%99%0.50%0.50%3 of 3+90.6%
Lithium and battery metals68%100%0.60%0.60%3 of 6+16.1%
Agriculture630%100%0.60%0.60%2 of 6+17.6%
Cannabis50%100%0.80%0.80%2 of 5+12.1%
AI infrastructure and chips1163%86%0.70%0.80%2 of 2+49.0%
Fintech and digital payments639%98%0.60%0.60%0 of 4−15.8%
Shipping, aviation and logistics636%99%0.60%0.60%3 of 4+35.6%
Energy security and critical technology586%95%0.50%0.60%1 of 3+16.7%
Electric vehicles and batteries820%98%0.50%0.50%2 of 6−3.0%
Energy transition and decarbonisation942%98%0.60%0.60%6 of 8+22.5%
Gaming, esports and betting813%100%0.60%0.60%0 of 7−17.8%
Travel and leisure335%99%0.60%0.60%0 of 2−10.8%
Timber and forestry219%100%0.60%0.60%0 of 2−0.6%
Metaverse and immersive tech446%77%0.60%0.80%1 of 4+11.7%
Stablecoins and tokenisation518%98%0.70%0.70%1 of 2+14.1%
Photonics and optics327%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2+4.7%
Healthcare innovation and GLP-1833%98%0.60%0.60%5 of 8+27.1%
Millennial and Gen Z consumers166%84%0.50%0.60%0 of 1−13.4%
Longevity and aging255%96%0.40%0.40%0 of 1+14.3%
Coal10%100%0.80%0.80%0 of 1+13.4%
3D printing127%99%0.70%0.70%0 of 1+9.6%
Streaming and live entertainment419%99%0.80%0.80%0 of 2−21.6%
Pets132%99%0.50%0.50%0 of 1−12.1%
Cooling and thermal management156%98%1.00%1.00%0 of 1+15.8%
Nanotechnology119%94%0.60%0.60%1 of 1+57.1%
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 25, 2026. https://etfiq.com/research/2026-09-27/themes-index

Open data →

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