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QUBT
$9.21+0.19 (+2.11%)
Market ClosedLast close May 1
Quantum Computing Inc., an integrated photonics company, provides quantum machines to commercial and government markets in the United States.
Historical Price
Price (Candle)
50-Day SMA
200-Day SMA
Whystock Brain
The Narrative
Quantum Computing Inc. in the Technology sector is trading at $9.21. The stock is currently near its 52-week low of $6.18, remaining 27.4% below its 200-day moving average. Technical signals show neutral RSI of 66 and bullish MACD crossover, explaining why QUBT maintains its current current market pressure. The Whystock Score of 35/100 signals elevated caution as indicators diverge.
Ecosystem Influences
Overbought levels (RSI 66) — risk of consolidation or pullback
Long-term trend bearish (Price vs 200-day SMA)
Macro-economic sensitivity to interest rate and inflation shifts
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Peer Comparison
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Whystock Valuation Model
Whystock fair value is estimated using a trailing P/E model adjusted for return on equity: Fair P/E = 18 + (ROE × 20). Fair Value = (Current Price ÷ Trailing P/E) × Fair P/E. A base P/E of 18 represents a typical market multiple, scaled upward for companies that earn high returns on equity. The result is a theoretical "normalised" price — not a price target or investment advice. Large deviations are common for high-growth or loss-making companies.
Current Price$9.21
Potential Upside
5%
Whystock Fair Value$9.67
Price
UndervaluedFair ValueOvervalued
Simplified model based on P/E and ROE. Not a substitute for full valuation analysis. Data may be delayed. See our Terms.
Analyst Consensus6 analysts
Buy
Mean target$17.83+93.6%
Range$10.00 – $27.00
Fundamentals
Quantum Computing Inc., an integrated photonics company, provides quantum machines to commercial and government markets in the United States. The company develops thin-film lithium niobate chips for optical devices, such as electro-optical modulators...
Market Cap
Total dollar market value of a company's outstanding shares of stock (Price * Shares).
$2.04B
P/E Ratio
Priced for growth. Investors expect sustained double-digit expansion.
-
Beta
High-beta play. Expect amplified moves vs. the broad market.
3.67
Div Yield
Low to zero yield. Return is entirely dependent on price appreciation.
0.00%
ROE
Average efficiency. Growth may require heavy reinvestment.
-1.17%
Volume
Today's trading volume
10.20M
Recent News
Assessing Quantum Computing (QUBT) Valuation After NeuraWave Photonic Platform Milestone
NeuraWave announcement puts Quantum Computing in focus Quantum Computing (QUBT) is back on investor radar after the company said its NeuraWave photonic reservoir computing platform is now deployment-ready, targeting real-time, low power AI inference at the edge. With units in manufacturing and available for customer orders across areas such as defense, telecommunications, autonomous vehicles, robotics, healthcare, and industrial monitoring, the announcement raises questions about how QUBT’s...
Best Quantum Stock to Buy the Dip: Rigetti Computing (RGTI) or Quantum Computing (QUBT)
Which of the two quantum computing stocks is likelier to rebound?
Quantum Computing Companies Are in a Race to Go Public
It could be years until quantum computing delivers on its promise to revolutionize everything from financial trading to drug discovery. But that’s not stopping the companies developing quantum hardware and software from speeding headlong into the public markets.
Quantum Computing (QUBT) Announces Deployment-Ready NeuraWave Photonic Computing Platform
Quantum Computing Inc. (NASDAQ:QUBT) is one of the best growth stocks under $10 to invest in. On April 23, Quantum Computing announced that NeuraWave, its next-generation photonic reservoir computing platform, is now deployment-ready. Designed as a standard PCIe plug-in card, the system uses hybrid photonic-digital computing to process data using light rather than electrons. This […]
Quantum computing poised to displace classical AI infrastructure, Northland says
Investing.com -- Northland Capital Markets initiated coverage on the quantum computing sector, identifying a major inflection point for high-performance infrastructure. Senior analyst Nehal Chokshi argues that as AI training demands outpace classical hardware, quantum systems represent the primary path to managing complex computational workloads. "The training of today’s modern Large Language Models typically happen in a 4096 dimension space, making the training of LLMs a massively parallel opti