Quantum Computing Inc. (NASDAQ:QUBT - Free Report) - Equities research analysts at Northland Securities cut their FY2026 earnings per share (EPS) estimates for Quantum Computing in a research report issued to clients and investors on Tuesday, August 11th. Northland Securities analyst N. Chokshi now forecasts that the company will post earnings per share of ($0.16) for the year, down from their previous estimate of ($0.06). Northland Securities has a "Outperform" rating and a $20.00 price objective on the stock. The consensus estimate for Quantum Computing's current full-year earnings is ($0.14) per share. Northland Securities also issued estimates for Quantum Computing's FY2027 earnings at ($0.09) EPS.
A number of other research analysts have also issued reports on QUBT. Cantor Fitzgerald restated a "neutral" rating and set a $10.00 price target on shares of Quantum Computing in a research note on Tuesday. Rosenblatt Securities reiterated a "buy" rating and set a $22.00 price objective on shares of Quantum Computing in a research note on Monday, June 29th. Ascendiant Capital Markets boosted their price objective on shares of Quantum Computing from $27.00 to $30.00 and gave the company a "buy" rating in a report on Monday, June 15th. Lake Street Capital reissued a "buy" rating on shares of Quantum Computing in a report on Monday, July 6th. Finally, Wall Street Zen downgraded Quantum Computing from a "hold" rating to a "sell" rating in a research report on Saturday, June 13th. Four research analysts have rated the stock with a Buy rating, two have issued a Hold rating and one has given a Sell rating to the company. According to MarketBeat, Quantum Computing currently has an average rating of "Hold" and an average price target of $18.33.
View Our Latest Report on QUBT
Quantum Computing Stock Down 0.3%
Shares of Quantum Computing stock opened at $8.92 on Thursday. The company has a 50 day moving average price of $9.07 and a 200 day moving average price of $8.98. The firm has a market capitalization of $2.02 billion, a P/E ratio of -127.41 and a beta of 3.74. Quantum Computing has a 52 week low of $6.18 and a 52 week high of $25.84.
Quantum Computing (NASDAQ:QUBT - Get Free Report) last posted its quarterly earnings data on Monday, August 10th. The company reported ($0.05) earnings per share (EPS) for the quarter, missing the consensus estimate of ($0.03) by ($0.02). The firm had revenue of $5.55 million for the quarter, compared to analysts' expectations of $5.15 million.
Hedge Funds Weigh In On Quantum Computing
Hedge funds and other institutional investors have recently bought and sold shares of the business. BlackRock Inc. purchased a new stake in shares of Quantum Computing in the 2nd quarter valued at $172,020,000. Alyeska Investment Group L.P. acquired a new stake in shares of Quantum Computing in the third quarter worth $123,014,000. Marex Group plc raised its holdings in shares of Quantum Computing by 255.6% during the fourth quarter. Marex Group plc now owns 8,272,153 shares of the company's stock worth $84,872,000 after purchasing an additional 5,945,679 shares during the last quarter. Vanguard Group Inc. raised its holdings in shares of Quantum Computing by 38.1% during the fourth quarter. Vanguard Group Inc. now owns 16,841,423 shares of the company's stock worth $172,793,000 after purchasing an additional 4,643,818 shares during the last quarter. Finally, Defiance ETFs LLC acquired a new position in Quantum Computing during the fourth quarter valued at $33,071,000. Institutional investors and hedge funds own 4.26% of the company's stock.
Quantum Computing News Summary
Here are the key news stories impacting Quantum Computing this week:
- Positive Sentiment: Rosenblatt Securities maintained a Buy rating, providing supportive analyst coverage. Rosenblatt Securities Remains a Buy on Quantum Computing
- Positive Sentiment: Second-quarter revenue surged to $5.55 million from $61,000 a year earlier, while the net loss narrowed year over year. Management is positioning QUBT for commercial manufacturing in photonics, semiconductors and packaging, with a reported $42.5 million contract backlog. Quantum Computing Q2 Earnings Call Centers on Commercial Scaling
- Positive Sentiment: The company completed its NHanced acquisition, potentially expanding its advanced semiconductor manufacturing capabilities and revenue base. Quantum Computing's Q2 Revenue Rockets Year Over Year
- Neutral Sentiment: Cantor Fitzgerald reaffirmed its Neutral/Hold rating but raised or maintained a $10 price target, implying potential upside from recent trading levels. Quantum Computing Gets a Hold from Cantor Fitzgerald
- Neutral Sentiment: Recent coverage highlights improving revenue and narrower losses as a possible business inflection point, but QUBT remains unprofitable and its long-term investment case is still dependent on successful commercialization. Quantum Computing Results May Indicate Inflection Point
- Negative Sentiment: Q2 earnings showed a larger-than-expected per-share loss of $0.05 versus the $0.03 consensus, while higher costs and negative gross profit continue to pressure profitability. QUBT Q2 Loss Matches, Revenues Beat
- Negative Sentiment: Analysts and commentators caution that QUBT’s roughly $2 billion valuation may be difficult to justify if revenue growth relies heavily on acquisitions, while integrating LSI, NuCrypt and NHanced and scaling the Arizona thin-film facility create significant execution and capital risks. Quantum Computing: A $2B Valuation Built on Bought Revenue
Quantum Computing Company Profile
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Quantum Computing Inc NASDAQ: QUBT is a provider of quantum computing and quantum-inspired algorithm solutions, headquartered in the United States with research and development operations in Europe. Originally incorporated as Unigrid Software in 2019, the company rebranded in 2021 to reflect its strategic focus on commercializing emerging quantum technologies for enterprise and government customers.
The company's flagship product, Qatalyst, is a quantum-inspired optimization platform that applies advanced heuristic solvers to address complex combinatorial problems in logistics, supply chain management, finance and other data-intensive fields.
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