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What Is the QTUM ETF? Returns, Expense Ratio, Holdings, and Alternative ETFs at a Glance

Updated July 1, 2026 · First published April 30, 2026

The Defiance Quantum ETF (QTUM) invests in quantum computing and machine learning stocks, and its holdings span a broad range of semiconductor, telecom equipment, and defense companies. It is a product worth a look for investors who want both a view on related stocks and diversified exposure to the theme, and it pays dividends quarterly.

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🏷️

What Is the Defiance Quantum ETF?

The fund tracks the BlueStar Quantum Computing and Machine Learning Index and holds, on an equal-weighted basis, companies that derive a large share of their revenue from developing quantum computing and machine learning technology.

It suits investors who want to bet on the long-term growth of the quantum computing and artificial intelligence themes.

It is a passive (index-tracking) ETF managed by Defiance.

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How Does the Defiance Quantum ETF Invest?

ItemDetails
Management stylePassive (index tracking)
Tracking indexBlueStar Quantum Computing and Machine Learning Index
Rebalancing frequencyOnce per quarter
Dividend frequencyQuarterly dividends
Total expense ratio0.40%

Under the index inclusion criteria, the fund selects companies that generate at least a certain share of their revenue or business activity from developing quantum computing and machine learning technology. To reduce concentration in individual stocks, weights are allocated in a manner close to equal weighting. Holdings span related industries, including semiconductors, telecom equipment, and defense.

  • Near-equal-weight allocation eases concentration in a few large-cap stocks
  • A theme definition that extends beyond semiconductors to telecom and defense
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Defiance Quantum ETF Size and Costs (AUM and Management Fee)

Assets under management (AUM) stand at $5.3B, and the total expense ratio is 0.40% per year.

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Defiance Quantum ETF Performance and Trends

1-Year Price Performance
Dividend & Yield
Dividend Yield 1.05%
Annual Dividend (TTM) $1.40
1Y Return +17.8%
Next Ex-Dividend Date 9/23/2026
52-Week Price Range
$134
Low $98 High $170
vs. low +36.27% vs. high -21.28%

The fund tends to move in step with the broader artificial intelligence and semiconductor themes, and it has repeatedly shown volatility that widens or narrows depending on earnings releases and industry news from related companies.

Inflows tend to rise while market interest in the artificial intelligence and quantum computing themes persists, and fund flows slow along with it when interest in the theme cools.

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Defiance Quantum ETF Pros and Cons

Its strength is the ability to diversify across themes with large growth potential, while its weakness is a heavy reliance on a specific technology theme.

💪 Key Strengths

Theme diversification
Investors can spread their money across companies from a variety of industries tied to quantum computing and machine learning.
Equal-weight allocation
Concentration in a few large-cap stocks is eased, giving even exposure to small and mid-sized related stocks as well.
Access to an early-stage growth theme
Investors can gain exposure to an early-stage technology theme as a whole without picking individual stocks.

⚠️ Points to Watch

Theme concentration risk
Because the fund is concentrated in a specific technology theme, volatility can rise when related industry conditions weaken.
Changes in individual stocks' revenue share
If the revenue-share criteria for related business change, the makeup of holdings can shift.
High volatility
Given the nature of growth themes, share prices tend to swing more widely than the market as a whole.
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Defiance Quantum ETF Alternatives and Related Products

Under its category classification, QTUM has no similar ETFs that are automatically compared in the table, so comparable listed fund data is limited. That said, investors can also consider ETFs on related themes, such as SOXX and SMH, which invest across the semiconductor industry, BOTZ, which focuses on robotics and artificial intelligence, and ARKQ, which focuses on autonomous driving and robotics. Some of their holdings overlap with QTUM, but their theme definitions and industry weightings differ, so their exposure profiles are not the same.

Peer Comparison ETFs
TickerNamePriceChangeAUMTotal Expense RatioDividend Yield1Y
FNDXFNDXSchwab Fundamental U.S. Large Company ETF$32.71-0.6%$28.6B0.25%1.44%+23.3%
PRFPRFInvesco RAFI US 1000 ETF$56.13-0.8%$10.2B0.34%1.32%+23.1%
FNDAFNDASchwab Fundamental U.S. Small Company ETF$35.98-1.3%$9.0B0.25%1.23%+17.6%
RECSRECSColumbia Research Enhanced Core ETF$44.93-1.5%$6.2B0.15%0.72%+10.0%
JHMMJHMMJohn Hancock Multifactor Mid Cap ETF$73.57-1.3%$6.1B0.41%0.89%+14.8%
Top Holdings
TickerNameWeightPriceChangeMarket CapP/EDividend Yield
ARQQARQQArqit Quantum Inc0.02%$15.73-10.6%$273.7M--
HQHQHorizon Quantum Holdings Ltd0.02%$14.04-8.4%$757.8M--
TERTeradyne Inc0.02%$274.37-7.4%$42.9B31.50.19%
TSEMTSEMTower Semiconductor Ltd0.02%$166.48-11.4%$18.9B65.7-
MKSIMKSIMKS Inc0.02%$202.04-6.5%$13.7B32.20.49%
STHHSTHHSTMicroelectronics NV ADRhedged0.02%$9.76-5.8%$0.0M-2.27%
NOKNokia Corp ADR0.02%$8.56-8.1%$48.4B53.92.03%
LMTLockheed Martin Corp0.02%$636.95-1.0%$147.1B22.62.2%
MUMicron Technology Inc0.02%$884.74-5.3%$1.00T11.90.08%
OBTOBTOrange County Bancorp Inc0.02%$38.69+0.3%$518.8M10.41.76%
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Defiance Quantum ETF Investor Checkpoints

Here are the points to review before investing in QTUM. As a theme-focused product, it is advisable to thoroughly check costs, volatility, and changes in holdings before investing.

CheckpointWhat to CheckCurrent Status
💵 Expense ratioCheck the cumulative impact over a long holding periodAnnual fee applies
📊 Theme concentrationWhether the revenue-share criteria for quantum computing and machine learning have changedNeeds checking
⚖️ Stock allocation methodWhether large-cap concentration exists given the near-equal-weight allocationDiversification maintained
📈 VolatilityPrice swings typical of theme-based productsHigher than the market average

Because the fund is concentrated in a specific technology theme, volatility can be greater than that of the overall market when related industry conditions weaken. Investors should also be aware that the makeup of holdings can change if the index inclusion criteria are revised.

It is a suitable choice for investors who want diversified exposure to the quantum computing and machine learning themes. Given the theme concentration risk, adjusting its weight within the overall portfolio is the recommended approach.

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Disclaimer: This content is for informational purposes only and does not constitute investment advice. All investment responsibility lies with the investor.

This article reflects information as of July 1, 2026.

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