Pasqal (NASDAQ:PSQL) Upgraded at Wall Street Zen

Wall Street Zen upgraded shares of Pasqal (NASDAQ:PSQL) to a sell rating in a research note released on Saturday,Wall Street Zen reports.

A number of other brokerages have also weighed in on PSQL. Canaccord Genuity Group restated a “buy” rating and issued a $16.00 target price on shares of Pasqal in a research note on Monday, September 28th. Needham & Company LLC assumed coverage on shares of Pasqal in a research report on Wednesday, September 30th. They set a “buy” rating and a $16.00 target price on the stock. Zacks Research raised Pasqal to a “hold” rating in a report on Thursday, September 24th. Roth Capital began coverage on Pasqal in a report on Wednesday, September 9th. They set a “buy” rating and a $20.00 price objective on the stock. Finally, Benchmark upgraded Pasqal to a “strong-buy” rating in a research report on Tuesday, October 6th. One equities research analyst has rated the stock with a Strong Buy rating, four have given a Buy rating and one has given a Hold rating to the stock. According to data from MarketBeat, the company currently has a consensus rating of “Buy” and a consensus price target of $16.00.

Pasqal Stock Performance

NASDAQ:PSQL opened at $5.26 on Friday. Pasqal has a 12 month low of $5.04 and a 12 month high of $24.69. The company has a current ratio of 2.22, a quick ratio of 2.04 and a debt-to-equity ratio of 0.13. The company has a 50-day moving average price of $6.66.

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.