Shares of Akoya Biosciences, Inc. (NASDAQ:AKYA – Get Free Report) have been given an average recommendation of “Hold” by the seven analysts that are covering the company, MarketBeat reports. Five equities research analysts have rated the stock with a hold recommendation and two have assigned a buy recommendation to the company. The average 12 month price objective among analysts that have issued a report on the stock in the last year is $5.43.
Several research analysts have recently issued reports on the company. Craig Hallum cut Akoya Biosciences from a “buy” rating to a “hold” rating and decreased their price target for the stock from $7.00 to $5.00 in a research note on Friday, November 15th. Piper Sandler reissued an “overweight” rating and issued a $3.00 price target (down previously from $4.00) on shares of Akoya Biosciences in a research note on Tuesday, November 19th. Finally, Canaccord Genuity Group cut Akoya Biosciences from a “strong-buy” rating to a “hold” rating in a research note on Monday, January 13th.
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Akoya Biosciences Trading Down 0.3 %
NASDAQ:AKYA opened at $2.99 on Friday. Akoya Biosciences has a 1 year low of $1.88 and a 1 year high of $6.31. The stock has a market cap of $148.21 million, a price-to-earnings ratio of -2.53 and a beta of 1.18. The business has a fifty day moving average of $2.53 and a 200-day moving average of $2.61. The company has a debt-to-equity ratio of 5.62, a quick ratio of 1.85 and a current ratio of 2.75.
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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