Cantor Fitzgerald initiated coverage on shares of Pasqal (NASDAQ:PSQL – Free Report) in a research note released on Friday morning, Marketbeat Ratings reports. The firm issued an overweight rating and a $12.00 price objective on the stock.
PSQL has been the topic of a number of other research reports. Needham & Company LLC began coverage on Pasqal in a research report on Wednesday, September 30th. They issued a “buy” rating and a $16.00 target price on the stock. Roth Capital began coverage on Pasqal in a research 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 issued a $16.00 price objective on shares of Pasqal in a research note on Monday, September 28th. Benchmark raised Pasqal to a “strong-buy” rating in a research note on Tuesday, October 6th. Finally, Zacks Research upgraded Pasqal to a “hold” rating in a report on Thursday, September 24th. One equities research analyst has rated the stock with a Strong Buy rating, four have assigned a Buy rating and one has issued a Hold rating to the stock. According to MarketBeat, the stock has a consensus rating of “Buy” and a consensus target price of $16.00.
Read Our Latest Stock Analysis on PSQL
Pasqal Price Performance
Shares of PSQL stock opened at $5.23 on Friday. The company has a debt-to-equity ratio of 0.13, a quick ratio of 2.04 and a current ratio of 2.22. Pasqal has a one year low of $5.04 and a one year high of $24.69.
Pasqal Company Profile
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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