Akoya Biosciences, Inc. (NASDAQ:AKYA – Get Free Report) has been given an average recommendation of “Hold” by the seven analysts that are presently covering the company, Marketbeat reports. Five analysts have rated the stock with a hold recommendation and two have issued a buy recommendation on the company. The average 12 month price objective among brokerages that have covered the stock in the last year is $5.43.
Several equities research analysts have issued reports on the company. Piper Sandler restated an “overweight” rating and set a $3.00 price objective (down from $4.00) on shares of Akoya Biosciences in a report on Tuesday, November 19th. Craig Hallum downgraded Akoya Biosciences from a “buy” rating to a “hold” rating and dropped their price objective for the stock from $7.00 to $5.00 in a report on Friday, November 15th. Finally, Canaccord Genuity Group downgraded Akoya Biosciences from a “strong-buy” rating to a “hold” rating in a report on Monday, January 13th.
View Our Latest Report on AKYA
Institutional Investors Weigh In On Akoya Biosciences
Akoya Biosciences Price Performance
AKYA stock opened at $2.99 on Friday. The company has a quick ratio of 1.85, a current ratio of 2.75 and a debt-to-equity ratio of 5.62. Akoya Biosciences has a 52-week low of $1.88 and a 52-week high of $6.31. The stock’s 50 day moving average is $2.53 and its two-hundred day moving average is $2.61. The company has a market capitalization of $148.21 million, a PE ratio of -2.53 and a beta of 1.18.
Akoya Biosciences Company Profile
Akoya Biosciences, Inc, a life sciences technology company, provides spatial biology solutions focused on transforming discovery and clinical research in North America, the Asia Pacific, Europe, the Middle East, and Africa. The company offers PhenoCycler instrument, a compact bench-top fluidics system that integrates with a companion microscope to automate image acquisition; and PhenoImager platform that enables researchers to visualize, analyze, quantify, and phenotype cells in situ, in fresh frozen or FFPE tissue sections, and tissue microarrays utilizing an automated and high-throughput workflow.
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