QTUM's 88 Holdings and 16.23% Top-10 Weight Are Why It Beat Every Quantum Stock

The Defiance Quantum ETF (QTUM) fell 3.76% on Tuesday to trade near $153, caught in the same rate-driven rotation that hit every long-duration technology asset. The fund is up 40.04% year to date and 66.69% over the trailing twelve months, with a total return of 70.66% including dividends.

Assets under management stand at $5.83 billion. That figure has compounded fast: QTUM crossed $2 billion in September 2025, passed $4 billion on April 27, 2026, and has added another $1.8 billion in under four months.

The fund launched September 5, 2018 and has delivered an average annual return of 27.33% since inception. It returned 50.54% in 2024 and 36.69% in 2025, outpacing the Nasdaq 100's 20.77% in the latter year. Over five years the return is 204.76% — a $1,000 position five years ago is now worth $3,229.

The monthly record shows how violent the ride has been. The best month on record was April 2026 at +24.9%. The worst was July 2026 at -14.6%. Sixty-eight percent of months have been positive and 32% negative, with the longest winning streak running seven consecutive months and the longest losing streak three. On a daily basis the fund closes higher 54% of the time.

Against the S&P 500, QTUM carries an annualized alpha of 11.22%, a beta of 1.19, and an R-squared of 0.70. Annualized volatility runs near 30%.

Tuesday's decline traced entirely to the bond market. The 30-year Treasury hit a 19-year high, the 10-year sat at 4.68%, and quantum pure-plays sold off in unison — IonQ down 5.81%, D-Wave down 6.42%, Quantum Computing down 5.86%, Rigetti down 5.14%.

QTUM fell less than any of them. That gap is the entire investment case.

The Fund Is Barely a Quantum Fund and That Is the Point

QTUM tracks the BlueStar Machine Learning and Quantum Computing Index on an adjusted-equal-weighted basis, holding 88 positions across quantum computing, machine learning, artificial intelligence, cloud computing and related enabling technologies in developed markets.

The concentration data explains the performance divergence. The top ten holdings represent just 16.23% of the fund. Technology exposure runs 69.24%. The top three positions are Arqit Quantum, HQ, and Cloudflare — of which only Arqit is a quantum-native business, and it sells post-quantum encryption that defends against quantum computers rather than building them.

Recent holdings have included Micron, Intel, Marvell Technology and Advanced Micro Devices. Those are semiconductor companies with billions in revenue, not pre-profit quantum startups.

The pure-plays are inside the fund — IonQ, Rigetti, D-Wave, Quantum Computing Inc. and Infleqtion all appear — but at adjusted-equal weights across 88 names, each represents roughly 1% of assets. A stock that falls 40% moves the fund 40 basis points.

That structure produced 2026's central divergence. QTUM is up 40.04% year to date. Rigetti is down 15.71%. D-Wave is down 19.04%. Quantum Computing Inc. has fallen 44.3% over the past year.

The fund holds hardware makers, software platforms and service providers that sit where real adoption happens, with most of the weight in technology names that already ship products and services. AI and high-performance computing provide current business exposure while quantum offers longer-term optionality.

Anyone buying QTUM expecting a leveraged bet on qubit counts is buying something else. They are buying a diversified advanced-computing basket with a quantum label and a 1.19 beta to the S&P 500.

The dilution is the feature that has generated the returns. It is also why the fund will keep trading on Treasury yields rather than on quantum milestones.

What Actually Broke the Pure-Plays

The sector selloff that has run through summer has a single cause and it is not company-specific.

Over one stretch, IonQ shares fell 39% in a month, Rigetti and D-Wave each shed 30%, and Quantum Computing Inc. declined 24%. There was no sector-wide business setback. The selling followed a broad sentiment reset across speculative technology as AI-infrastructure and semiconductor valuations were repriced simultaneously.

Quantum pure-plays sit at the far end of the risk spectrum. When multiples contract, names anchored to future-scale narratives absorb the biggest losses.

The mechanism is duration. These are pre-revenue or minimally revenue-generating businesses whose valuations rest almost entirely on cash flows that may not arrive for years — in some cases a decade or more. When the long end of the curve moves higher, the present value of those distant cash flows falls hardest. Quantum names are among the purest long-duration assets trading on U.S. exchanges.

The 30-year Treasury printing a 19-year high above 5.33% this week is the entire explanation for Tuesday's move. Oil climbing on Middle East tensions added inflation pressure that reinforced it.

The valuation mismatch amplifies every move. IonQ carries a trailing P/E of 84.26 times against a market capitalization near $21.46 billion on Q1 revenue of $64.67 million. Rigetti sits at roughly $5.9 billion. D-Wave trades at a price-to-sales ratio of 636 on a $7.88 billion market cap.

That mismatch explains how these names swing 6% to 12% in either direction on days with no news at all. One session in June saw D-Wave and Quantum Computing Inc. each gain 12%, Rigetti 9% and IonQ 6% — then reverse nearly all of it the next day.

QTUM absorbs those swings across 88 positions. That is why its worst single day since inception was -12.0% in March 2020 and its worst month was -14.6% in July 2026, while individual holdings routinely move more than that in a week.

The Underlying Businesses Are Growing Fast From Nothing

The revenue numbers inside the pure-play cohort deserve to be stated precisely, because they are simultaneously spectacular and tiny.

IonQ posted second-quarter revenue of $80.05 million, up 286.8% year over year and beating consensus by 20.52%, and raised full-year 2026 guidance to $285 million. First-quarter revenue was $64.67 million, up 755%. The SkyWater Technology acquisition closed July 31, giving IonQ a vertically integrated full-stack quantum platform with secured domestic chip supply.

The accounting underneath is harder. GAAP net loss widened to $1.87 billion in the second quarter, largely from $1.6 billion in warrant liability fair-value adjustments, with stock-based compensation running $141.8 million in a single quarter. Adjusted EBITDA loss guidance for the full year sits between negative $330 million and negative $310 million. Beta of 3.3 means every macro tremor gets amplified.

D-Wave reported second-quarter revenue of $3.076 million, missing consensus by 23.63%, with GAAP EPS of negative $0.13 also short. The bookings picture is different: first-half 2026 bookings surged to $35.50 million from $2.90 million a year earlier, remaining performance obligations reached $40.70 million — up 668% — and commercial customer revenue mix climbed to 62.4% from 45.1%. Operating cash burn ran roughly $45 million in a quarter.

Rigetti delivered second-quarter revenue of $5.14 million, up 185.3%, and holds $541.29 million in cash with zero debt. It signed a letter of intent with the Commerce Department for up to $100 million in potential CHIPS Act funding over three years.

Quantum Computing Inc. reported a 9,000% year-over-year revenue increase to $5.6 million against a net loss of $11.8 million on $21.8 million of expenses, with approximately $1.3 billion in cash and a $42.5 million contract backlog.

Add all four together and total quarterly revenue across the U.S. pure-play cohort is roughly $94 million. Their combined market capitalization exceeds $36 billion.

That ratio is why QTUM's 88-name structure has outperformed every one of them.

Policy Is the Tailwind Everyone Is Trading

Government commitment has become the single most reliable catalyst in this sector, and it has been escalating.

White House quantum executive orders issued June 22, 2026 designated computing, sensing, networking and cybersecurity as national priorities. That framework has driven subsequent funding decisions and gave the sector a fresh bid after a difficult spring.

A $2 billion federal quantum commitment lifted IBM, D-Wave and Rigetti and helped push QTUM toward the $5 billion asset mark. Rigetti's up-to-$100 million CHIPS Act letter of intent is the most tangible individual allocation, earmarked for hardware scaling including improved readout electronics and cryogenic systems.

Prediction markets have started pricing direct government equity participation. Polymarket assigns an 18.5% probability of a U.S. government stake in IonQ.

The market-sizing estimates that justify these commitments span an enormous range. McKinsey projects quantum computing revenue rising from $4 billion in 2024 to $72 billion by 2035. BCG's longer-horizon work places the market at $90 billion to $170 billion by 2040.

IBM's chief executive has flagged 2026 as the commercial quantum advantage milestone — the year the technology is expected to demonstrate a task performed materially better than classical computing on a commercially relevant problem.

Technical progress supports the timeline at the margin. D-Wave published dual-rail qubit gate research in Nature demonstrating roughly 99.9% fidelity in two-qubit entangling gates with gate times near 500 nanoseconds. Its AT&T deployment reduced network optimization processing from one hour to under 15 seconds. Microsoft's Majorana 1 topological processor targets an architecture its engineers say could eventually scale to 1 million qubits on a single chip.

Realistic adoption looks narrower than the headlines. Quantum computing will not replace laptops. It will enter specific workloads — logistics routing, drug discovery, encryption — often delivered through cloud interfaces rather than hardware in offices.

QTUM's holdings span hardware makers, software platforms and service providers positioned where that adoption actually happens.

Flows Tell a Different Story Than Performance

The fund flow data reveals a pattern that performance alone obscures.

Five-day net flows read zero. One-month net flows are negative $136.67 million. Three-month flows are positive $614.04 million, six-month flows positive $811.81 million, and one-year flows positive $1.99 billion. Over three years the fund has taken in $3.44 billion, over five years $3.5 billion, and over ten years $3.58 billion.

Read that sequence backward. Of the $3.58 billion in cumulative ten-year flows, $1.99 billion — 55.6% — arrived in the last twelve months. And $136.67 million has left in the last month.

That is a fund whose asset base is dominated by recent buyers, with the marginal flow now negative. New money arrived at prices materially above where the fund trades today, given the July drawdown of 14.6% and the subsequent partial recovery.

The composition also explains the AUM trajectory. Assets stand at $5.83 billion against $3.58 billion of cumulative net flows, meaning roughly $2.25 billion of the total is market appreciation rather than creations. The fund has grown on performance more than on demand.

Distribution has been reinforced by ratings. QTUM earned a 5-star Overall Morningstar Rating as of June 30, 2025 and again in April 2026, rated among 243 funds over three years and 216 funds over five years in the U.S. Fund Technology category as of July 31, 2026.

The Morningstar Medalist Rating tells a different story. QTUM holds a quantitatively derived Neutral rating, assigned June 30, 2026 and published July 28 — the model does not express a clear expectation of outperformance or underperformance relative to peers over a full market cycle.

Five stars for past risk-adjusted returns. Neutral on forward expectations. Both are correct.

The fund pays a quarterly dividend with an annual yield near 0.70%.

The Competition Is Arriving

QTUM's first-mover advantage is eroding as issuers launch products targeting the same theme with different structures.

Defiance itself launched the Long Pure Quantum ETF (QTUP) on June 9, 2026 — a direct acknowledgment that QTUM's diversified structure does not satisfy investors who want concentrated exposure. That product competes with the parent fund for the same thematic dollar.

WisdomTree's Quantum Fund (WQTM) and the Global X AI & Quantum ETF are the primary external competitors, with QNTM also in the field. Comparison traffic between QTUM and WQTM has become one of the most searched matchups in the category.

The differentiation question is straightforward: an investor choosing between them is choosing between diversification and purity. QTUM offers 88 holdings with a 16.23% top-ten concentration and 69.24% technology weighting. A pure-play fund concentrates in the four or five names that actually build quantum hardware.

Over 2026, diversification won decisively — QTUM up 40.04% against pure-plays down 15% to 44%. Over a period when quantum advantage is demonstrated commercially, purity would win by a wide margin.

The risk to QTUM's positioning is that its outperformance came from semiconductors and AI infrastructure, which means it is competing not just with quantum funds but with every broad technology ETF. An investor who wanted Micron, Intel, Marvell and AMD exposure has cheaper ways to get it.

That is the structural tension in thematic investing generally. Funds that dilute enough to survive drawdowns eventually stop being differentiated products.

QTUM remains the largest ETF dedicated to the quantum computing industry and the first U.S.-listed fund in the category. Scale, liquidity and eight years of track record are real advantages in a segment where most competitors launched within the last eighteen months.

The ALTAR Score places QTUM in the 49th percentile among 736 funds in the Global Equity category — precisely average on forward expected return.

The Volatility Profile Is the Real Risk

Thirty percent annualized volatility with a 1.19 beta describes a fund that will not behave like a core holding, and the monthly record proves it.

The best month in the fund's history was April 2026 at +24.9%. The worst was July 2026 at -14.6%. Those two months are separated by roughly ninety days. A 40-point swing in quarterly outcomes is not a rounding error — it is the entire character of the product.

The daily record is similar. The best single session was April 9, 2025 at +12.4%. The worst was March 16, 2020 at -12.0%. Fifty-four percent of trading days close higher, which is barely above a coin flip.

At the average daily return of +0.11% and average monthly return of +2.26%, an investment would double in approximately 2.6 years. That compounding is genuine and it comes with drawdowns that would force most holders out before it arrives.

The rate sensitivity compounds it. With 69.24% technology exposure and a portfolio weighted toward growth names, QTUM's discount rate is the long end of the Treasury curve. The 30-year at a 19-year high and the 10-year at 4.68% to 4.70% is the environment that produced July's -14.6%.

That environment has not changed. The 30-year retreated slightly from 5.338% this week but remains near multi-decade highs, driven by fiscal deficits projected at $2.1 trillion and AI-related corporate issuance estimated at as much as $1.5 trillion this year.

An 11.22% annualized alpha against the S&P 500 is impressive and it was generated during a period when technology outperformed dramatically. R-squared of 0.70 means 70% of the fund's variance is explained by the index — this is a high-beta technology fund with alpha, not an uncorrelated thematic bet.

A recent 11.22% decline paired with 30% annualized volatility prompted at least one analyst to rate the fund a Hold, citing compelling long-term exposure but less attractive risk/reward after substantial gains.

That framing is defensible. QTUM at $153 after a 40% year is a different proposition than QTUM after July's drawdown.

What the Fund Owns Versus What It Sells

The gap between marketing and portfolio is worth examining because it determines what actually drives returns.

The fund is sold on quantum computing. Defiance's materials describe quantum computing as bringing paradigmatic changes in simulation, optimization and sampling, with finance, risk management, cybersecurity, materials science, energy and logistics all transformed by quantum-supported machine learning. The analogy offered is to the first personal computers — undefined yet boundless.

The portfolio is 88 holdings across quantum, machine learning, AI, cloud computing and enabling technologies, with 69.24% in technology and a top-ten weight of 16.23%.

The 500%-plus return since inception was driven by overall growth in the technology sector rather than by quantum computing specifically. That is stated plainly by third-party analysts and it is the correct read.

The structural argument for holding it anyway: quantum will sneak into specific workloads over the next decade, and the companies capturing that shift are the same ones building AI infrastructure today. Hardware makers, software platforms and service providers sit where adoption happens, and owning them provides current business exposure while retaining quantum optionality.

That is a coherent thesis. It is also a thesis that could be executed with a semiconductor ETF and a small basket of pure-plays at lower cost.

Adjusted-equal weighting is the mechanism that keeps any single position from dominating. It also means the fund systematically rebalances out of winners and into laggards — which has cost performance when semiconductors ran and helped when quantum pure-plays collapsed.

The weighted average Smart Score across holdings reads 6 out of 10, describing a portfolio that is neither notably strong nor notably weak on aggregate quantitative signals.

Holdings data is published as of August 18, 2026 and is subject to change at any time.

The Near-Term Setup Runs Through the Bond Market

Every variable that matters for QTUM over the next month is macroeconomic rather than technological.

The July FOMC minutes release at 2:00 p.m. ET. The committee held at 3.50%–3.75% on a 9–3 vote with three regional presidents dissenting in favor of a hike, and September hike odds sit near 33% against roughly 67% for a hold. A hawkish read that reprices September toward 45% sends the 30-year back through 5.338% and hits QTUM's holdings hardest.

The prior instance of that dynamic is documented. Quantum names fell 5% to 9% in a single session after the Fed kept rates unchanged with three policymakers favoring a hike, on a day the Nasdaq Composite fell 1.7% and the Nasdaq 100 entered correction territory after dropping 10% from its June peak.

The dollar has been the offsetting support. DXY fell toward 99.00, its weakest since June 1, with the 10-year easing to 4.70%. That retreat is what allowed Wednesday's broader risk-on tone, with S&P futures up 0.45% and Nasdaq futures up 0.53% before the open.

The sentiment backdrop for speculative technology remains fragile. Overnight, Japan's Nikkei fell 3.16% and South Korea's KOSPI dropped 5.8%, with SK hynix falling a further 10% despite announcing a $29 billion buyback. Samsung Electronics fell 7.8%. Retail thematic favorites including quantum, rare earths and robotics were flagged as under significant pressure ahead of the Unitree IPO in China, which subsequently surged 600%.

Beyond today: July PCE on August 26, Jackson Hole from August 27 to 29 with Warsh's first keynote as chair on August 28, and the September FOMC on the 15th and 16th carrying a fresh dot plot.

Nvidia reports August 26. That print sets the tone for every AI-adjacent holding in the fund, and QTUM's semiconductor weighting makes it a direct read-through.

What the Analysts Are Actually Saying

The sell-side positioning on the underlying names is uniformly bullish and uniformly late.

D-Wave carries 94% bullish analyst sentiment with a consensus target between $35.25 and $37.05 against a stock near $20 — implied upside above 75%. IonQ shows 85% bullish sentiment with ten buy ratings and zero sells, and an average target of $67.68 against a stock near $44. Rigetti holds 69% bullish sentiment with nine buy or strong-buy ratings and a target of $28.81 against $18.67, implying 81.4% upside.

Individual targets run higher still. B. Riley Securities carries $100 on IonQ and Jefferies $85.

Every one of those targets implies the sector should trade materially above current levels, and every one has been reduced or missed through a year where the stocks fell 15% to 44%.

The composite prediction sentiment on D-Wave registers bullish at 63.59 with medium confidence — the strongest reading of the three pure-plays. Polymarket gave just 6.5% odds of IonQ beating its most recent quarterly print, and IonQ then beat by 20.52%.

That divergence between prediction markets and sell-side targets is the most useful signal available. The professionals modeling revenue are optimistic. The market pricing outcomes is not.

For QTUM specifically, no equivalent target exists because ETFs are not covered that way. The Morningstar Medalist Neutral rating and the 49th-percentile ALTAR Score are the closest available forward-looking assessments, and both say average.

The one framework offering a rating on the fund itself concluded Hold — compelling long-term exposure but less attractive risk/reward after substantial gains.

Levels, Scenarios and the Verdict

At roughly $153 with a 40.04% year-to-date gain and 30% annualized volatility, the technical structure is straightforward.

Support runs to the July low, which produced the fund's worst month on record at -14.6%. From current levels a repeat of that drawdown puts QTUM near $131. The five-year cost basis for anyone who bought at inception sits far below — a $1,000 position from five years ago is worth $3,229 — but the marginal holder bought recently, with $1.99 billion of the $3.58 billion cumulative ten-year flow arriving in the past twelve months.

Upside targets follow the theme rather than the chart. A move matching April 2026's +24.9% from current levels would put the fund near $191. A more measured extension toward the levels that produced 2024's 50.54% and 2025's 36.69% annual returns implies $165 to $175 by year-end if the pattern holds.

The scenario map runs on two variables and neither is quantum-specific. If the 30-year retreats meaningfully from 5.338% and September hike odds stay near 33%, QTUM's semiconductor and AI weighting drives it toward $165. If the FOMC minutes reprice tightening and the long end pushes higher, the July template applies and $131 becomes live.

The quantum-specific catalyst is a demonstrated commercial advantage milestone in 2026, which IBM's chief executive has flagged and which nobody can time. If it lands, the pure-plays inside the fund move 50% or more and QTUM captures roughly 5% of that given the weighting.

The verdict: QTUM has become the largest quantum ETF by being barely a quantum ETF, and that is why it works. Eighty-eight holdings with a 16.23% top-ten weight and 69.24% technology exposure means the pure-plays — IonQ, Rigetti, D-Wave, Quantum Computing Inc. — represent roughly 1% each. That structure produced a 40.04% year while Rigetti fell 15.71% and D-Wave fell 19.04%.

Anyone buying this expecting quantum beta is buying a diversified advanced-computing basket with a 1.19 beta, 11.22% alpha, 30% volatility and $5.83 billion in assets. It will trade on the 30-year Treasury yield, not on qubit fidelity.Base case: range-bound between $131 and $165 with direction set by the long end of the curve. The fund has returned 27.33% annually since 2018 and delivered its worst month ever four weeks ago. Both facts belong in the same position sizing decision.

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