Akoya Biosciences (NASDAQ:AKYA – Get Free Report) is scheduled to issue its quarterly earnings data after the market closes on Thursday, November 14th. Analysts expect the company to announce earnings of ($0.19) per share for the quarter. Parties interested in registering for the company’s conference call can do so using this link.
Akoya Biosciences (NASDAQ:AKYA – Get Free Report) last released its quarterly earnings data on Monday, August 5th. The company reported ($0.27) earnings per share for the quarter, hitting analysts’ consensus estimates of ($0.27). The company had revenue of $23.16 million during the quarter, compared to analyst estimates of $23.61 million. Akoya Biosciences had a negative net margin of 64.74% and a negative return on equity of 126.38%. During the same period in the prior year, the firm earned ($0.51) earnings per share. On average, analysts expect Akoya Biosciences to post $-1 EPS for the current fiscal year and $-1 EPS for the next fiscal year.
Akoya Biosciences Trading Up 4.9 %
NASDAQ AKYA opened at $3.24 on Thursday. Akoya Biosciences has a one year low of $1.88 and a one year high of $6.31. The company has a debt-to-equity ratio of 3.43, a quick ratio of 1.98 and a current ratio of 2.73. The company has a market capitalization of $160.38 million, a price-to-earnings ratio of -2.63 and a beta of 1.34. The company’s 50-day simple moving average is $2.81 and its two-hundred day simple moving average is $2.67.
Analysts Set New Price Targets
Check Out Our Latest Stock Analysis on AKYA
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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