Shares of Absci Co. (NASDAQ:ABSI – Get Free Report) have received a consensus rating of “Buy” from the six ratings firms that are presently covering the firm, Marketbeat.com reports. Six equities research analysts have rated the stock with a buy rating. The average 1 year price target among analysts that have covered the stock in the last year is $8.67.
Several brokerages have commented on ABSI. HC Wainwright reissued a “buy” rating and issued a $7.00 price objective on shares of Absci in a report on Friday. Guggenheim reissued a “buy” rating and issued a $10.00 price target on shares of Absci in a report on Tuesday, December 3rd.
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Absci Price Performance
Shares of ABSI opened at $3.69 on Monday. The company has a debt-to-equity ratio of 0.01, a current ratio of 5.63 and a quick ratio of 5.63. The company’s fifty day moving average price is $3.60 and its 200-day moving average price is $3.81. Absci has a 1-year low of $2.45 and a 1-year high of $6.72. The firm has a market capitalization of $423.82 million, a PE ratio of -3.97 and a beta of 2.02.
Absci (NASDAQ:ABSI – Get Free Report) last released its quarterly earnings data on Tuesday, November 12th. The company reported ($0.24) earnings per share for the quarter, missing analysts’ consensus estimates of ($0.19) by ($0.05). Absci had a negative net margin of 2,321.56% and a negative return on equity of 46.56%. The company had revenue of $1.70 million for the quarter, compared to analysts’ expectations of $1.77 million. During the same quarter in the previous year, the business posted ($0.24) EPS. On average, equities research analysts predict that Absci will post -0.9 EPS for the current year.
Absci Company Profile
Absci Corporation operates as a data-first generative artificial intelligence (AI) drug creation company in the United States. The company combines AI with scalable wet lab technologies to create biologics for patients. Its integrated drug creation platform is designed to improve upon traditional biologic drug discovery by using AI to simultaneously optimize multiple drug characteristics that may be important to development and therapeutic benefit.
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