Defiance Quantum ETF

QTUMDefiance ETFsEquity
Expense ratio0.4%
Net assets$6.26B
Holdings86
Yield (TTM)0.99%
1 week+1.9%
1 month-7.6%
3 months+1.2%
6 months+8.2%
YTD+30.4%
1 year+26.4%
3 years*+48.3%
5 years*+23.4%

Total returns with distributions reinvested; * a year. Prices as of Oct 27, 2026 · filings through Jun 30, 2026 · page updated Nov 3, 2026

At a glance

QTUM charges 0.4% a year, above the 0.27% average of the 8 funds most like it (the 7th cheapest of 9). It has $6.26B in assets, the 9th largest of that group; it paid 0.99% of its price in distributions over the past 12 months, quarterly. Over the past year it returned +26.4% with distributions reinvested (S&P 500: +11.5%), 4th of those 9 funds; over three years it returned +48.3% a year. At its worst it fell 35.2% in the 2020 crash (S&P 500: 33.7%) and 37.2% in the 2022 bear market (S&P 500: 24.5%), and was back at its earlier high 4 months and 15 months after the lows. Its ten largest positions make up 16.9% of the fund, out of 86 in all.

The short version

Defiance Quantum ETF (QTUM) is an index fund that tracks the BlueStar Quantum Computing and Machine Learning Index. That index holds about 80 global companies tied to quantum computing, machine learning and the chipmaking equipment behind them. Each stock gets roughly the same weight, so small quantum specialists count about as much as large chipmakers. It costs 0.40% a year, more than most similar tech funds, and it has swung much harder than the broad market.

Price history

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QTUM +26.4% over the year to Oct 27, 2026, total return with distributions reinvested.

Prices through Oct 27, 2026. Total return: the price with distributions reinvested.

How it has behaved

Volatility (1 year)32.6%annualized; the S&P 500 is usually 15–20%
Worst drop (1 year)-21.5%3 years: -25.4% · all history: -38.4%
Beta vs S&P 5002.13moves more than the market
Sharpe ratio (1 year)0.69return above cash per unit of risk
Since launch+25.0%a year over 8.1 years
Total over 5 years+187%
52-week range$100.36 – $168.76
Last price $142.07 on Oct 27, 2026, 15.8% below the 52-week high · above its 200-day average ($136.86).
YTD1 yr3 yr5 yr10 yrSince start
QTUM official prospectus, to Dec 31, 2025—+36.35%—+22.62%—+23.41%
QTUM price data to Oct 27, 2026+30.4%+26.4%+48.3%+23.4%—+25.0%
Multi-year figures are annualized total returns with distributions reinvested. "Official" figures are the SEC-standard returns from the fund's prospectus; the price-data row is computed from daily prices.
  • Over the year to Oct 27, 2026, QTUM returned +26.4%, 4th of 9 among similar funds.
  • Its 5-year annualized return was +23.4%.
  • In the 2020 COVID crash it fell 35.2% and regained its old high 3.6 months after the low.
  • Its worst full calendar year was 2022 (-28.8%); its best was 2024 (+50.8%).
  • The deepest fall in its price history was 38.4% (Nov 16, 2021 to Oct 14, 2022), recovered by Jan 23, 2024.
48%201942%202035%2021-29%202240%202351%202437%202530%2026*
48%201942%202035%2021-29%202240%202351%202437%202530%2026*
Calendar-year total returns from price data, distributions reinvested. * 2026 is year to date. From the prospectus: best quarter +30.89% (Jun 30, 2020), worst -19.48% (Jun 30, 2022).
Show as a table
YearPrice dataProspectus (official)
2026 (to date)+30.4%—
2025+36.7%+36.35%
2024+50.8%+50.69%
2023+39.9%+39.60%
2022-28.8%-28.56%
2021+35.2%+35.27%
2020+42.1%+42.01%
2019+48.0%+48.20%
2008 financial crisis
stocks fell Oct 9, 2007 – Mar 9, 2009
Before this security existed
2020 COVID crash
stocks fell Feb 19, 2020 – Mar 23, 2020
Lost 33.8% over that stretch · deepest drop along the way 35.2%, back to its old high 3.6 months after the low
2022 bear market
stocks fell Jan 3, 2022 – Oct 12, 2022
Lost 37.2% over that stretch · deepest drop along the way 37.2%, back to its old high 15.3 months after the low

Dividends and income

Yield (last 12 months)0.99%distributions ÷ price
Paid in the last 12 months$1.40per share, split-adjusted
How oftenquarterly 
Latest payment$0.4600Sep 23, 2026
$0.182019$0.182020$0.272021$0.572022$0.442023$0.602024$1.122025$0.952026*
$0.182019$0.182020$0.272021$0.572022$0.442023$0.602024$1.122025$0.952026*
Distributions per share by calendar year, adjusted for a share split. * 2026 to Oct 27, 2026.
Show as a table
YearPer shareChange
2026 (to date)$0.9500
2025$1.1200+86.3%
2024$0.6012+36.6%
2023$0.4400-22.8%
2022$0.5700+111.1%
2021$0.2700+50.0%
2020$0.18000.0%
2019$0.1800
Distributions through Oct 27, 2026.

What's inside

As of Jun 30, 2026, the fund held 86 securities; the ten largest made up 16.86% of assets. It also reported 13.85% in a money-market fund, most likely cash collateral from lending out shares rather than uninvested money.

HoldingWeight
Arqit Quantum Inc2.41%
Horizon Quantum Holdings LTD2.38%
Quantinuum Inc1.57%
Astera Labs Inc1.55%
Applied Materials Inc1.55%
KLA Corp1.50%
MKS Inc1.50%
Onto Innovation Inc1.49%
Teradyne Inc1.48%
Lam Research Corp1.43%
Nebius Group NV1.39%
Intel Corp1.39%
Micron Technology Inc1.37%
BTQ Technologies Corp1.37%
Advanced Micro Devices Inc1.36%

By country

United States 57.76%Japan 7.63%Netherlands 7%Taiwan 6.59%Canada 3.66%

By asset type

Stocks 99.3%
Source: N-PORT holdings report as of Jun 30, 2026. Cash, money-market funds and derivatives are shown separately from the securities list.

What changed recently

  • Over the three months to Jun 30, 2026, investors added a net $1.08B (creations minus redemptions, per the N-PORT report).
  • Monthly total returns reported for that quarter: +25.24%, +19.68%, +3.47%.

How it works

QTUM is passively managed. It tries to match the BlueStar Quantum Computing and Machine Learning Index, which is owned by BlueStar Global Investors, a firm not affiliated with Defiance. Twice a year, BlueStar screens stocks listed around the world, including in emerging markets. It looks for companies that earn at least half their revenue, or do at least half their business, in quantum computing or machine learning. That covers quantum hardware and software, machine-learning chips and software, advanced chip-packaging equipment, and raw materials. Companies must be worth at least $150 million (machine learning) or $100 million (quantum).

The index takes the largest eligible companies until it covers 98.5% of their combined market value, and it has at least 70 names. As of March 31, 2026, it had 82 constituents, 20 of them listed outside the US. At each rebalance, every stock is set to an equal weight, with less for thinly traded shares. Weights then drift until the next reset after the third Friday of June and December. New IPOs can be added in March and September.

The fund generally owns every index stock. As of June 30, 2026, it held 86 stocks, and the top 10 made up just 16.86% of assets. The index is concentrated in semiconductors. Portfolio turnover was 42%.

What it really costs

  • QTUM charges 0.4% a year, versus an average of 0.27% for the similar funds below (7th of 9, cheapest first).
  • Using the prospectus's standard example, $10,000 invested would cost about $41 in the first year and $505 over 10 years (assuming a 5% annual return).
Cost of $10,000 (SEC example)1 yr3 yrs5 yrs10 yrs
QTUM$41$128$224$505
SEC standard example: $10,000 invested, 5% annual return, shares sold at the end of each period.

In a retirement portfolio

RoleSatellite (higher risk)

QTUM is a narrow, volatile theme fund focused on semiconductors and quantum computing, so it fits best as a small add-on to a broader core.

QTUM could add a focused stake in quantum computing, machine learning and chip equipment to a broad core portfolio. It launched in September 2018, so it has never been through a 2008-style crisis. In the 2020 COVID crash it fell 35.2% in about a month, then recovered by July 2020. Its deepest drop was 38.4%, from November 2021 to October 2022, and it took until January 2024 to regain that peak. Its worst calendar year was 2022, when it lost 28.56%. Someone who had to sell shares during that stretch would have locked in large losses. The yield was 0.99% as of October 27, 2026, paid quarterly, so it offers little income. Its 0.40% expense ratio is above the 0.27% average of similar funds. Past results don't predict the future, and a retirement plan should look at the whole portfolio, not one fund.

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Who it may suit — and who should look elsewhere

May suit

  • Investors wanting a small, equal-weighted slice of quantum computing, machine learning and chip-equipment stocks alongside a broad core fund.
  • Those who can live with swings like the 38.4% drop from November 2021 to October 2022 and a recovery that took until January 2024.
  • People wanting global tech exposure: about 42% of assets were outside the US as of June 30, 2026, including Japan, the Netherlands and Taiwan.

Look elsewhere if

  • Retirees who need income: the yield was 0.99% as of October 27, 2026.
  • Cost-focused investors: QTUM charges 0.40% a year versus 0.08% for XLK and 0.09% for VGT, broader tech funds that share some holdings.
  • Anyone seeking diversification: the index is concentrated in semiconductors and has heavy software exposure, so it adds little outside technology.

Close alternatives

Matched by holdings overlap from the latest N-PORT reports.

FundOverlapCostNet assets1 yr3 yr
QTUM this fund—0.4%$6.26B+26.4%+48.3%
SMH VanEck Semiconductor ETF27%0.35%$77.20B+40.5%+52.2%
SOXX iShares Semiconductor ETF25%0.35%$47.82B+48.5%+44.1%
IGM iShares Expanded Tech Sector ETF25%0.41%$10.71B+21.3%+38.6%
IXN iShares Global Tech ETF24%0.41%$9.46B+30.4%+36.5%
XLK Technology Select Sector SPDR Fund23%0.08%$123.91B+20.1%+4.0%
IYW iShares U.S. Technology ETF23%0.39%$23.58B+13.9%+30.4%
FTEC Fidelity MSCI Information Technology Index …23%0.084%$19.85B+15.4%+30.0%
Net assets from each fund's latest N-PORT or annual report where available. Returns through Oct 27, 2026.

Questions investors ask

Is QTUM good for retirement?

QTUM is a high-risk theme fund, so it may suit a small side position rather than the core of a retirement portfolio. It lost 28.56% in 2022 and fell 38.4% from its November 2021 peak, taking until January 2024 to recover. Its one-year beta was 2.13 as of October 27, 2026. Beta measures how much a fund moves with the market, so 2.13 means it moved about twice as much. It also pays little income.

What's the difference between QTUM and SMH?

QTUM spreads its money roughly equally across about 86 stocks tied to quantum computing and machine learning, including small quantum specialists like Arqit Quantum and Horizon Quantum. SMH, the VanEck Semiconductor ETF, focuses on chip companies. About 27% of their holdings overlap. SMH costs 0.35% a year versus 0.40% for QTUM. SMH returned 52.8% over one year as of October 29, 2026. QTUM returned 26.4% over one year as of October 27, 2026.

Does QTUM pay dividends?

Yes, QTUM pays distributions every quarter, but they are small. Over the 12 months to October 27, 2026, it paid $1.40 per share, a yield of 0.99%. The fund is built around a technology theme, not around income. Investors who want regular cash from their portfolio would get very little from this fund, and its share price swings much more than its payouts.

What is QTUM's expense ratio?

QTUM's expense ratio is 0.40% a year, according to its prospectus filed April 29, 2026. The SEC's standard example assumes $10,000 invested with a 5% annual return. On that basis, costs come to about $41 after one year, $224 after five years and $505 after 10 years. The average for similar funds is 0.27%. Broader tech funds such as XLK (0.08%) and VGT (0.09%) cost far less.

How has QTUM performed since launch?

QTUM has posted strong returns with big swings. As of December 31, 2025, its average annual return was 36.35% over one year, 22.62% over five years and 23.41% since its September 2018 launch. Its strongest quarter gained 30.89% (ended June 30, 2020). Its weakest lost 19.48% (ended June 30, 2022). From the start of 2026 through October 27, 2026, the share price rose 30.4%.

Sources

  • 485BPOS prospectus (risk/return XBRL), filed Apr 29, 2026 — SEC EDGAR
  • N-PORT holdings report, filed Aug 28, 2026 — SEC EDGAR
  • Prices: daily prices and distributions through Oct 27, 2026

For education only, not investment advice. Past performance does not predict future results.