Investment analysts at Cantor Fitzgerald started coverage on shares of Pasqal (NASDAQ:PSQL – Get Free Report) in a research report issued to clients and investors on Friday, MarketBeat Ratings reports. The brokerage set an “overweight” rating and a $12.00 price target on the stock. Cantor Fitzgerald‘s price objective points to a potential upside of 129.01% from the stock’s current price.
Other equities research analysts have also issued reports about the stock. Zacks Research raised shares of Pasqal to a “hold” rating in a report on Thursday, September 24th. Williams Trading set a $16.00 price target on shares of Pasqal in a research report on Wednesday, September 30th. Needham & Company LLC initiated coverage on shares of Pasqal in a research report on Wednesday, September 30th. They issued a “buy” rating and a $16.00 price target for the company. UBS Group set a $16.00 price objective on shares of Pasqal in a research note on Tuesday, September 22nd. Finally, Canaccord Genuity Group restated a “buy” rating and set a $16.00 price objective on shares of Pasqal in a research report on Monday, September 28th. One analyst has rated the stock with a Strong Buy rating, four have given a Buy rating and one has issued a Hold rating to the company’s stock. According to data from MarketBeat.com, the stock currently has a consensus rating of “Buy” and an average price target of $16.00.
Read Our Latest Report on Pasqal
Pasqal Stock Down 5.1%
Shares of PSQL opened at $5.24 on Friday. The company has a debt-to-equity ratio of 0.13, a current ratio of 2.22 and a quick ratio of 2.04. Pasqal has a 52 week low of $5.17 and a 52 week high of $24.69.
About Pasqal
Pasqal is a quantum computing company headquartered in France that develops neutral-atom quantum processors and related software. Its systems use individually controlled atoms as qubits, with the aim of addressing complex computational problems that are difficult to solve with conventional computers.
The company provides access to its quantum computing technology through cloud-based platforms and works with customers and research organizations on applications including optimization, molecular and materials simulation, energy, logistics, finance, and machine learning.
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