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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 thematic ETF is sold as a way to get exposure to one idea, but the holdings often overlap with the S&P 500 by a wide margin. Across 380 funds with the relevant data, the typical thematic ETF holds 30% of its weight in stocks the S&P 500 already contains. That is a median, so half of funds sit above this number and half below. At the high end, 74 of the 380 funds have more than sixty percent of their weight in index names, meaning the theme is doing less work than the label suggests for those portfolios.

The pattern is uneven across themes. Energy security and critical technology shows a median of 86% already in the S&P 500, and AI infrastructure and chips sits at 63%, alongside Digital infrastructure and data centers and Semiconductors at 62%. At the other end, Cannabis and Coal both show 0%, and Silver miners and Gold miners sit at 2% and 5%. Active share, the share of a fund's portfolio that differs from the index, mirrors this: Metaverse and immersive tech has a median active share of 77%, the lowest in the table, while several themes, including Gold miners, Nuclear and uranium, Water, Space, Miners and metals, Rare earth and critical materials, Lithium and battery metals, Agriculture, Cannabis, and Timber and forestry, show 100%.

Fees do not adjust for this. Across 54 themes and 406 funds, the median fee is 0.60%. 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%. Some themes show a gap between the two numbers. Artificial intelligence carries a fee of 0.70% against a fee-for-the-difference of 0.80%, and AI infrastructure and chips shows the same pattern, 0.70% against 0.80%. Biotech runs the other way, with a fee of 0.50% against 0.30% for the difference.

Overlap between individual funds is also visible in the data. Among the pairs tracked, 136 hold portfolios that are more than half identical by weight, and the summary notes that holding both is close to holding one of them twice. The largest overlap in the pairs table is PDBA and EVMT in Agriculture at 98%, followed by AUAU and GDX in Gold miners at 83% and SOXQ and SOXX in Semiconductors at 82%. Fees within these pairs sometimes differ, as with FTXL and SOXX, which overlap 77% but carry fees of 0.60% and 0.33%.

One-year returns varied widely by theme. Semiconductors funds beat the S&P 500 in 9 of 9 cases with a median total return of +102.3%, while Defense funds beat the index in 0 of 14 cases with a median return of +1.9%. Nuclear and uranium showed a median return of −14.8%, and Internet and e-commerce showed −14.1%.

Readers can check any fund's in-index weight, active share, and fee-for-the-difference numbers, along with the overlap percentage for specific fund 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%0.50%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%0.70%0.70%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%0.60%0.60%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%0.70%0.70%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%0.60%0.60%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%0.50%0.50%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/2026-09-26/themes-index

Open data →

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