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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 375 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%. 129 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

67 of 157 thematic ETFs with a full year beat the S&P 500 over the year to Sep 30, 2026.

ETFIQ Narrative

Thematic exchange-traded funds are often sold as a way to get exposure that the broad market does not already provide. The data suggests that, by weight, much of what these funds hold is not new at all. Across 375 funds measured, the typical thematic ETF has 30% of its portfolio in stocks that the S&P 500 already holds. At 74 of those 375 funds, more than sixty percent of the portfolio by weight overlaps with S&P 500 names. The remainder of each fund's holdings, the part that differs from the S&P 500, is what ETFIQ calls active share, and across themes that number is typically high, often in the 90s or 100%.

The overlap varies widely by theme. Energy security and critical technology shows a median of 86% of weight already in the S&P 500, and AI infrastructure and chips, semiconductors, and digital infrastructure and data centers all sit above 60%. At the other end, gold miners, cannabis, lithium and battery metals, rare earth and critical materials, and silver miners show single-digit medians, meaning most of what these funds hold sits outside the S&P 500 altogether.

Fees do not appear to track this difference in a simple way. Across 405 funds and 54 themes, the median fee is 0.60%, and when fees are 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%. In other words, restating the fee per unit of distinct exposure does not change the typical headline number. At the theme level, some funds show a lower fee on the distinct portion than on the whole fund, such as biotech (0.50% fee against 0.30% fee for the difference) and cannabis (0.80% against 0.60%). Others show the fee rising when measured against the distinct portion, such as artificial intelligence (0.70% against 0.80%) and AI infrastructure and chips (0.70% against 0.70%, unchanged) and timber and forestry (0.60% against 0.80%).

A separate pattern shows up among the funds themselves. Of the pairs examined, 129 pairs hold portfolios that are more than half identical by weight. The listed examples go further: PDBA and EVMT in agriculture share 99% of weight, AUAU and GDX in gold miners share 83%, and several semiconductor pairs, including SOXQ and SOXX, SHOC and SMH, and FTXL and SOXX, share between 74% and 82%. Fees within these pairs are not always matched. SOXQ carries a 0.19% fee against SOXX at 0.33%, and SPAM carries 0.35% against PSWD at 0.20%, despite holding largely the same stocks. Holding both funds in a pair is, by this measure, close to holding one of them twice.

One-year total returns differed sharply by theme, from semiconductors at +99.1% and genomics and gene editing at +84.0%, to defense at −2.5% and streaming and live entertainment at −23.6%. The data does not show whether these returns relate to the degree of S&P 500 overlap; themes with high overlap, like semiconductors, and themes with low overlap, like copper, both posted gains, while defense, with 39% overlap, posted a loss.

Readers using ETFIQ's live desk can check the current in-index weight, active share, and fee-for-difference numbers for any individual fund, not just the theme median shown here, and can look up whether two specific funds they hold appear among the overlapping pairs.

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+99.1%
Defense2239%98%0.50%0.50%0 of 14−2.5%
Artificial intelligence3656%80%0.70%0.80%16 of 24+31.6%
Gold miners105%100%0.50%0.50%7 of 9+19.9%
Memory and storage530%97%0.70%0.80%0 of 0·
Cybersecurity728%99%0.50%0.50%7 of 7+35.1%
Cloud and software846%92%0.40%0.40%3 of 7+15.5%
Infrastructure736%97%0.50%0.50%0 of 6+8.0%
Broad innovation and megatrends3052%86%0.50%0.60%16 of 27+21.9%
Electrification and the grid1148%97%0.50%0.60%3 of 7+8.7%
Internet and e-commerce1330%95%0.70%0.70%0 of 13−15.3%
Nuclear and uranium1017%100%0.70%0.70%0 of 8−15.6%
Reshoring and manufacturing1036%97%0.60%0.70%5 of 7+20.3%
Copper610%100%0.60%0.60%6 of 6+46.5%
Silver miners42%100%0.50%0.50%4 of 4+26.0%
Robotics and automation923%93%0.70%0.70%3 of 6+13.9%
Miners and metals611%100%0.60%0.60%3 of 6+14.2%
Quantum computing435%84%0.40%0.50%1 of 1+46.1%
Clean energy169%99%0.60%0.60%2 of 16+8.1%
Biotech830%99%0.50%0.30%6 of 6+49.6%
Water639%100%0.50%0.60%0 of 6−5.3%
Digital infrastructure and data centers962%88%0.50%0.60%7 of 8+32.4%
Space1014%100%0.80%0.80%1 of 2+15.4%
Therapeutics and medical devices522%98%0.70%0.70%3 of 5+25.4%
Blockchain and crypto equities1420%98%0.60%0.60%0 of 13−12.8%
Genomics and gene editing424%99%0.50%0.50%3 of 3+84.0%
Rare earth and critical materials78%100%0.60%0.60%2 of 4+17.2%
Agriculture630%100%0.60%0.60%2 of 6+14.5%
Lithium and battery metals68%100%0.60%0.60%2 of 6+12.1%
Cannabis50%100%0.80%0.60%0 of 5−11.6%
AI infrastructure and chips1163%89%0.70%0.70%2 of 2+41.5%
Fintech and digital payments640%98%0.60%0.60%0 of 4−19.1%
Shipping, aviation and logistics634%99%0.60%0.60%3 of 4+36.3%
Energy security and critical technology586%95%0.50%0.60%1 of 3+14.7%
Electric vehicles and batteries820%98%0.50%0.50%2 of 6−5.4%
Energy transition and decarbonisation942%98%0.60%0.60%6 of 8+19.7%
Gaming, esports and betting813%100%0.60%0.60%0 of 7−19.5%
Travel and leisure335%99%0.60%0.60%0 of 2−10.6%
Timber and forestry228%100%0.60%0.80%0 of 2−4.4%
Metaverse and immersive tech444%80%0.60%0.80%1 of 4+9.3%
Stablecoins and tokenisation518%98%0.70%0.70%1 of 2+7.4%
Photonics and optics327%100%0.80%0.80%0 of 0·
Humanoid robots315%94%0.30%0.40%0 of 2+1.0%
Healthcare innovation and GLP-1833%98%0.60%0.60%4 of 8+21.7%
Millennial and Gen Z consumers166%84%0.50%0.60%0 of 1−14.2%
Longevity and aging255%96%0.40%0.40%0 of 1+10.4%
Coal10%100%0.80%0.80%0 of 1+12.1%
3D printing127%99%0.70%0.70%0 of 1+7.5%
Streaming and live entertainment420%99%0.80%0.80%0 of 2−23.6%
Pets132%99%0.50%0.50%0 of 1−15.6%
Cooling and thermal management156%98%1.00%1.00%0 of 1+10.5%
Nanotechnology119%94%0.60%0.60%1 of 1+56.7%
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 EVMT99%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%
AUAU and GDMN76%Gold miners0.35%0.45%
MARS and WARP75%Space0.75%0.50%
BUG and WCBR75%Cybersecurity0.50%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 30, 2026. https://etfiq.com/research/2026-10-01/themes-index

Open data →

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