Compare Invesco NASDAQ 100 ETF (QQQM) vs Quantum Computing Inc (QUBT) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Invesco NASDAQ 100 ETF vs Quantum Computing Inc — how do they compare? Invesco NASDAQ 100 ETF trades at $309.25 (market cap $113.40B), while Quantum Computing Inc trades at $7.47 (market cap $1.69B). The key difference: Invesco NASDAQ 100 ETF is far larger — about 67.1× Quantum Computing Inc's market cap, and Invesco NASDAQ 100 ETF is trading nearer its 52-week high, Quantum Computing Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Invesco NASDAQ 100 ETF for 54 Days and Quantum Computing Inc for 25 Days on average.
| QQQM | QUBT | |
|---|---|---|
Market Cap | $113.40B | $1.69B |
Volume | 2,866,236 | 7,991,522 |
Sector | Broad Market / Factor | Technology |
52-Week High | $312.76 | $21.78 |
52-Week Low | $229.87 | $6.31 |
Typical Hold Time | 54 Days | 25 Days |
Enterprise Value | — | $753.24M |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
QQQM trades at $309.39, down 0.84% on the day, with a bullish technical signal from moving averages while oscillators remain neutral. The ETF's lower 0.15% expense ratio compared to QQQ's 0.18% provides a cost advantage, though trading spreads can impact returns. Recent institutional buying includes QRG Capital Management increasing its position by 207.5% during Q2 2026 (SEC filing, September 28, 2026).
The outlook remains positive given the Nasdaq-100's exposure to technology growth stocks, though concentration risk in top holdings and potential tax complications with covered-call alternatives like QQQI warrant caution. Market leadership from small-cap stocks within the index suggests continued momentum, but investors should monitor valuation levels given the current price near resistance at $311.
Quantum Computing Inc. (QUBT) trades at $7.44, down 2.36% on the day, with a bearish technical signal despite bullish oscillators. The company shows explosive revenue growth from $682K in 2025 to $10M projected for 2026, but remains deeply unprofitable with a -152.45% net income margin. Recent developments include the Dirac-3S quantum system launch and a $42.5M backlog, though rising expenses and shareholder litigation pose challenges.
QUBT offers significant upside potential with a consensus price target of $17.33 (133% upside) and 75% analyst buy ratings, supported by strong revenue growth and technological advancements. However, the stock carries high risk due to persistent losses, negative cash flow from operations, and execution challenges in the competitive quantum computing space.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Invesco NASDAQ 100 ETF
QQQM is an ETF designed to track the performance of the NASDAQ-100 Index. It provides exposure to the 100 largest non-financial companies listed on the NASDAQ. Positioned as a lower-cost and more long-term-investor-friendly alternative to its peer QQQ, QQQM offers the same fundamental market exposure but typically has a lower share price and is structured to appeal to investors focused on accumulation rather than active trading.
Read more on QQQM →About Quantum Computing Inc
Quantum Computing Inc. is a company focused on providing accessible quantum computing and quantum-enhanced software solutions for complex problems. The company's technology is designed to run on both classical and quantum hardware, enabling businesses to explore the power of quantum computing today for applications in finance, drug discovery, and logistics. QUBT offers a platform that makes quantum algorithms and software available through the cloud, aiming to democratize access to this advanced computing paradigm.
Read more on QUBT →
