Defiance Quantum ETF (QTUM) Fund Overview
Educational signal · not a buy or sell recommendation · How to read this
Beta 1.50: the stock has moved about 50% more than the S&P 500.
For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.0-flash, generated Jun 1, 2026. Editorial oversight is systemic, not page-by-page. Editorially accountable: Sedat ANAK, Founder and Editor-in-Chief. Data sources: Financial Modeling Prep, Yahoo Finance, SEC EDGAR
Quick AnswerDefiance Quantum ETF (QTUM) trades at $156.06. Quantum ETF (QTUM) aims to replicate the performance of an index focused on companies involved in quantum computing and machine learning. Sector: Financials.
Price as of · Last analyzed: Jun 1, 2026Analyst Coverage for QTUM: QTUM does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage.
Defiance Quantum ETF (QTUM) Financial Services Profile
Quantum ETF (QTUM) provides investors exposure to the burgeoning quantum computing and machine learning sectors through a passively managed index fund. The fund targets companies deriving at least 50% of revenue from these technologies, offering a diversified investment vehicle within the financial services industry with a beta of 1.50.
What Is the Investment Thesis for QTUM?
Quantum ETF (QTUM) presents an investment opportunity centered on the growth potential of quantum computing and machine learning. The fund's passive management strategy offers a cost-effective way to gain exposure to these sectors. Key value drivers include the increasing adoption of AI and quantum technologies across various industries, driving revenue growth for the companies within the index. The fund's beta of 1.50 indicates higher volatility compared to the market, which could translate to higher returns in a bullish market. Upcoming catalysts include advancements in quantum computing hardware and software, which could lead to increased investor interest and higher valuations for companies in the index. Ongoing catalysts include the continued expansion of machine learning applications across industries, driving demand for AI-related products and services. Potential risks include regulatory hurdles, technological setbacks, and increased competition within the quantum computing and machine learning sectors. Ongoing risks include the high volatility associated with emerging technologies and the potential for market corrections.
Based on FMP financials and quantitative analysis
QTUM Key Highlights
Market Cap of $4.28 billion, reflecting substantial investor interest in quantum computing and machine learning.
- Beta of 1.50, indicating higher volatility compared to the broader market, potentially offering higher returns.
- Passive management strategy, providing cost-effective exposure to the quantum computing and machine learning sectors.
- Focus on companies deriving at least 50% of revenue from quantum computing and machine learning, ensuring targeted exposure.
- No dividend yield, as the fund reinvests earnings to maximize capital appreciation.
Who Are QTUM's Competitors?
QTUM is benchmarked below against 8 industry peers on price, market cap, and our AI MoonshotScore.
| Company | Price | Change | Market Cap | MoonshotScore |
|---|---|---|---|---|
| BLK BlackRock, Inc. | $1070.19 | +1.00% | $164B | 51 5-pillar |
| BX Blackstone Inc. | $111.57 | -0.16% | $136B | 68 5-pillar |
| APOS Apollo Global Management, Inc. | $25.59 | 0.00% | $74.8B | 56 5-pillar |
| BAM Brookfield Asset Management | $44.65 | -0.45% | $71.6B | 57 5-pillar |
| AMP Ameriprise Financial, Inc. | $494.16 | +0.66% | $44.4B | 77 5-pillar |
| ARES Ares Management Corporation | $116.82 | -0.62% | $38.5B | 57 5-pillar |
| TROW T. Rowe Price Group, Inc. | $103.39 | -1.17% | $22.4B | 80 5-pillar |
| ATHS Athene Holding Ltd. | $23.44 | -0.30% | $18.8B | 56 5-pillar |
AI Score by Stock Expert AI · Price data: FMP / Yahoo Finance
What Are QTUM's Key Strengths?
Specialized focus on high-growth quantum computing and machine learning sectors.
- Passive management strategy offering cost-effective exposure.
- Diversified portfolio of companies within the targeted sectors.
- Potential for high returns due to the rapid growth of AI and quantum technologies.
What Are QTUM's Weaknesses?
Higher volatility compared to broader market ETFs due to the emerging nature of the sectors.
- Dependence on the performance of a specific index.
- Limited control over investment decisions due to the passive management strategy.
- Potential for technological setbacks or regulatory hurdles to impact the performance of the underlying companies.
What Are the Key Risks for QTUM?
Technological setbacks or disruptions in the quantum computing and machine learning sectors.
- Regulatory changes or restrictions impacting the development and deployment of AI and quantum technologies.
- Higher volatility compared to broader market ETFs.
- Dependence on the performance of a specific index.
- Economic downturn or market correction impacting the value of the underlying companies.
What Are QTUM's Competitive Advantages?
- Specialized focus on quantum computing and machine learning, differentiating it from broader technology ETFs.
- Passive management strategy, providing cost-effective exposure to the sector.
- Diversified portfolio of companies involved in various aspects of quantum computing and machine learning.
What Does QTUM Do?
Quantum ETF (QTUM) was established to provide investors with a focused investment vehicle targeting the high-growth potential of quantum computing and machine learning. Unlike actively managed funds, QTUM employs a passive management strategy, seeking to replicate the performance of a specific index. This index comprises companies that generate at least 50% of their annual revenue or operating activity from the development of quantum computing and machine learning technologies. The fund's objective is to mirror the total return performance of this index, before accounting for fees and expenses. QTUM's investment approach centers on identifying and weighting companies involved in various aspects of quantum computing, including quantum hardware development, quantum software and algorithms, and quantum-enabled services. Similarly, within machine learning, the fund targets companies developing AI algorithms, machine learning platforms, and applications across diverse industries. By focusing on companies with significant revenue exposure to these sectors, QTUM provides investors with a targeted and diversified investment opportunity. The ETF operates within the broader asset management industry, catering to investors seeking exposure to emerging technologies through a passive investment strategy. QTUM's market position is defined by its specialization in quantum computing and machine learning, differentiating it from broader technology ETFs.
What Products and Services Does QTUM Offer?
- Tracks the performance of an index focused on quantum computing and machine learning companies.
- Invests in companies that derive at least 50% of their revenue from quantum computing and machine learning.
- Employs a passive management strategy to replicate the index's performance.
- Provides investors with exposure to the high-growth potential of quantum computing and machine learning.
- Offers a diversified investment vehicle within the financial services industry.
- Reinvests earnings to maximize capital appreciation.
How Does QTUM Make Money?
- Generates revenue through management fees charged to investors.
- Tracks an index of companies involved in quantum computing and machine learning.
- Replicates the index's performance through a passive investment strategy.
What Industry Does QTUM Operate In?
Quantum ETF (QTUM) operates within the asset management industry, specifically targeting the quantum computing and machine learning sectors. These sectors are experiencing rapid growth, driven by increasing adoption of AI and quantum technologies across various industries. The competitive landscape includes other technology ETFs, but QTUM differentiates itself by focusing specifically on quantum computing and machine learning. The global quantum computing market is projected to reach $86 billion by 2040, while the global machine learning market is expected to reach $209 billion by 2029, presenting significant growth opportunities for the companies within QTUM's index.
Who Are QTUM's Key Customers?
- Institutional investors seeking exposure to quantum computing and machine learning.
- Retail investors interested in investing in emerging technologies.
- Financial advisors looking for diversified investment options for their clients.
Research confidence
Thin evidence — scoring coverage unknown. Treat this as a starting point, not a conclusion.
- ● Scoring coverage unknown
- ● Price is current
- ● No filing on record
- ● No analyst coverage
- ● This is an etf, not an operating company
MoonshotScore History
Recorded daily since 2026-08-23 · 41 snapshots
| 2026-08-23 | 47 |
| 2026-08-31 | 47 |
| 2026-09-08 | 47 |
| 2026-09-16 | 47 |
| 2026-09-24 | 47 |
| 2026-10-04 | 47 |
What changed?
The score has stayed at 47.
Over the same 30 days the stock moved +5.6%.
QTUM Financials
Bull Case vs Bear Case
Bull Case
- Specialized focus on high-growth quantum computing and machine learning sectors.
- Passive management strategy offering cost-effective exposure.
- Diversified portfolio of companies within the targeted sectors.
- Potential for high returns due to the rapid growth of AI and quantum technologies.
Bear Case
- Higher volatility compared to broader market ETFs due to the emerging nature of the sectors.
- Dependence on the performance of a specific index.
- Limited control over investment decisions due to the passive management strategy.
- Potential for technological setbacks or regulatory hurdles to impact the performance of the underlying companies.
AI-generated arguments based on insider flow, news sentiment and technicals — not financial advice · June 2026
QTUM Latest News
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QTUM: Former Tailwinds Are Subsiding (Downgrade)
seekingalpha.com · Oct 5, 2026
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IonQ Jumps 4% on BoA Buy Rating; Rigetti and D-Wave Quantum Gain 2%
24/7 Wall St. · Sep 30, 2026
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IonQ Jumps 4% on BoA Buy Rating; Rigetti and D-Wave Quantum Gain 2%
Yahoo! Finance: QTUM News · Sep 30, 2026
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Quantum Computing ETFs Are Having a Moment — Here’s What They Actually Hold
Yahoo! Finance: QTUM News · Sep 29, 2026
QTUM Analyst Consensus
Consensus Rating
Aggregated Buy/Hold/Sell recommendations collected by Financial Modeling Prep for QTUM.
Price Targets
Wall Street price target analysis for QTUM.
QTUM MoonshotScore
MoonshotScore is Stock Expert AI's proprietary 0-100 research rating, not a buy or sell recommendation. No MoonshotScore is published for QTUM; grades run from A+ (80-100) to F (below 30).
Latest News
QTUM: Former Tailwinds Are Subsiding (Downgrade)
IonQ Jumps 4% on BoA Buy Rating; Rigetti and D-Wave Quantum Gain 2%
IonQ Jumps 4% on BoA Buy Rating; Rigetti and D-Wave Quantum Gain 2%
Quantum Computing ETFs Are Having a Moment — Here’s What They Actually Hold
What Investors Ask About Defiance Quantum ETF (QTUM) — Financials
What do analysts say about QTUM stock?
Analyst coverage of Quantum ETF (QTUM) typically focuses on the growth potential of the underlying quantum computing and machine learning sectors. Key valuation metrics include the fund's price-to-earnings ratio relative to the growth rate of the companies within the index and the overall market.
Disclaimer: This content is for informational purposes only and does not constitute investment advice. Always do your own research and consult a financial advisor.
Official Resources
MoonshotScore is not published for this security.
Data provided for informational purposes only.
- The information provided is based on available data and analysis, but there is no guarantee of future performance.
- Investing in emerging technologies involves inherent risks and volatility.