Defiance Quantum ETF
$147.61−0.88 (−0.59%)
- 0.40%
- $5.7B
- +41.4%
- 0.95%
- 0.6M sh
- $152.08
- low $98.21high $170.00
The ETF.net QTUM Grade
A
Score 78 out of 100
- 1 of 30
Score 78 of 100 falls in the A band. A is 70 or higher, B 55 to under 70, C 40 to under 55, D 25 to under 40, F under 25.
Cost
The fund’s net expense ratio, ranked against its category.A86 out of 100Rank 5 of 30Mission
Whether the fund did what it promised, tested against its stated mandate.A74 out of 100Rank 5 of 10Risk
How the fund held up when markets fell: downside volatility, drawdowns and tail loss.B60 out of 100Rank 10 of 27Tradability
How easy the fund is to trade: daily volume, and how far its price strays from net asset value.A71 out of 100Rank 6 of 30Holdings
How concentrated the fund is, and how complete and current its disclosed holdings are.A90 out of 100Rank 1 of 27Durability
Whether the fund is likely to stay open, judged by its age, its assets and its issuer’s assets.A81 out of 100Rank 6 of 30
Our read on QTUM
ALive since 2018, QTUM turns the quantum-computing story into a plain index fund: about 90 global names spanning quantum hardware and machine learning, for 0.40% a year.
The Fund seeks to track, before fees and expenses, the total return of the BlueStar® Quantum Computing and Machine Learning Index. It uses a passive indexing approach.
Why people hold it
- 0.40% a year against a 0.68% median for its AI-theme cohort, and it undercuts peers like WTAI (0.45%) and ALAI (0.55%).
- Rules-based by design: it tracks the BlueStar Quantum Computing and Machine Learning Index, so no manager is hand-picking which quantum story wins.
- About 90 holdings across global markets, so the theme rides on a basket instead of two or three pure plays.
- Size and liquidity back it up: a multi-billion-dollar fund that trades actively, and one of the stronger implementations in its thematic peer group.
Worth knowing
- Risk is the softest part of the profile. One narrow, early-stage theme in a single asset class means sharper swings than a broad-market fund.
- The index covers machine learning as well as quantum, so part of the basket is familiar AI exposure rather than quantum specialists.
- Distributions come quarterly, but a growth theme like this is not built around income.
QTUM Holdings
- Stocks
- 90
- 18%
- 3443.TW
Sectors
- Technology80.7%
- Industrials9.2%
- Communication6.5%
- Consumer Discretionary2.3%
- Health Care1.4%
Geography
- United States58.92%
- Japan8.68%
- Taiwan8.51%
- Netherlands6.69%
- United Kingdom3.09%
- Canada2.11%
- Switzerland2.04%
- Singapore1.92%
- 8.05%
Developed 70% · Emerging 30%
QTUM Performance
Shows how $10,000 changes over the selected period, with cash distributions reinvested at the closing price on each ex-dividend date.
Not enough history yet.
QTUM$14,143
Returns run to the Oct 12, 2026 close, with cash distributions reinvested. Each period starts on the same date that many months or years earlier. Periods over one year show the average yearly return.
| Period | QTUM |
|---|---|
| Year to date | +36.3% |
| 1 month | +1.0% |
| 3 months | −3.6% |
| 1 year | +41.4% |
| 3 years | +46.3% |
| 5 years | +25.7% |
| 10 years | — |
Calendar-year total return with cash distributions hypothetically reinvested at the ex-dividend date’s closing price. The current year shows year to date.
| Year | Return bar | QTUM |
|---|---|---|
| 2026 YTD | +36.3% | |
| 2025 | +36.7% | |
| 2024 | +50.5% | |
| 2023 | +39.9% | |
| 2022 | −28.8% | |
| 2021 | +35.2% | |
| 2020 | +42.1% |
QTUM in the news
QTUM Dividends
- 0.95%
- $1.40
- $0.46 per share
- Quarterly
Distribution history
QTUM Risk
- 27.8%
How it’s calculated: standard deviation
The sample standard deviation of monthly total returns, multiplied by the square root of 12.
Uses up to 36 complete months, with at least 12 required. Total returns include reinvested distributions.
- 1.40
How it’s calculated: Sharpe ratio
Subtract each month’s Treasury-bill return from the fund’s monthly total return.
Divide the average of those excess returns by their sample standard deviation, then multiply by the square root of 12.
Uses up to 36 complete months, with at least 12 required. Each month uses the Treasury yield quoted at the end of the previous month.
- −38.4%
How it’s calculated: maximum drawdown
The largest percentage decline from an earlier peak, using total returns with reinvested distributions.
Uses up to five years through the last close, with at least 12 months required.
- 1.67
How it’s calculated: beta
The beta figure is supplied by FMP. The comparison index depends on the fund’s broad asset class.
QTUM Cost
0.40%
QTUM0.40%
- The middle half of Artificial Intelligence funds
- Median 0.65%
4 of the 30 Artificial Intelligence funds charge less.
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