Cantor Fitzgerald Initiates Coverage on Pasqal (NASDAQ:PSQL)

Cantor Fitzgerald initiated coverage on shares of Pasqal (NASDAQ:PSQL) in a note issued to investors on Friday, Marketbeat reports. The firm set an “overweight” rating and a $12.00 price target on the stock. Cantor Fitzgerald‘s target price indicates a potential upside of 129.01% from the company’s current price.

Other equities analysts have also recently issued research reports about the company. Roth Capital began coverage on Pasqal in a report on Wednesday, September 9th. They set a “buy” rating and a $20.00 price target for the company. Canaccord Genuity Group reaffirmed a “buy” rating and set a $16.00 price objective on shares of Pasqal in a report on Monday, September 28th. Needham & Company LLC assumed coverage on shares of Pasqal in a report on Wednesday, September 30th. They issued a “buy” rating and a $16.00 target price for the company. Williams Trading set a $16.00 price target on shares of Pasqal in a research report on Wednesday, September 30th. Finally, UBS Group set a $16.00 price target on shares of Pasqal in a research note on Tuesday, September 22nd. One research 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 stock. According to data from MarketBeat.com, the stock presently has a consensus rating of “Buy” and a consensus target price of $16.00.

Pasqal Stock Performance

Shares of Pasqal stock opened at $5.24 on Friday. Pasqal has a twelve month low of $5.17 and a twelve month high of $24.69. The company has a quick ratio of 2.04, a current ratio of 2.22 and a debt-to-equity ratio of 0.13.

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.