Akoya Biosciences, Inc. (NASDAQ:AKYA – Get Free Report) has been given an average rating of “Hold” by the seven ratings firms that are currently covering the stock, MarketBeat.com reports. Five analysts have rated the stock with a hold rating and two have issued a buy rating on the company. The average 12-month price target among brokers that have issued ratings on the stock in the last year is $5.43.
Several equities research analysts have commented on AKYA shares. Canaccord Genuity Group lowered shares of Akoya Biosciences from a “strong-buy” rating to a “hold” rating in a research note on Monday, January 13th. Piper Sandler reaffirmed an “overweight” rating and set a $3.00 target price (down previously from $4.00) on shares of Akoya Biosciences in a research note on Tuesday, November 19th. Finally, 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.
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Institutional Investors Weigh In On Akoya Biosciences
Akoya Biosciences Trading Up 0.6 %
NASDAQ AKYA opened at $3.23 on Friday. The firm has a market capitalization of $160.11 million, a PE ratio of -2.74 and a beta of 1.18. Akoya Biosciences has a one year low of $1.88 and a one year high of $6.31. The company has a 50-day simple moving average of $2.45 and a 200-day simple moving average of $2.58. The company has a debt-to-equity ratio of 5.62, a quick ratio of 1.85 and a current ratio of 2.75.
About Akoya Biosciences
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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