Singular Genomics Systems, Inc. (NASDAQ:OMIC – Get Free Report) saw a significant decrease in short interest during the month of October. As of October 31st, there was short interest totalling 71,200 shares, a decrease of 18.9% from the October 15th total of 87,800 shares. Based on an average daily volume of 105,000 shares, the days-to-cover ratio is currently 0.7 days. Approximately 4.8% of the shares of the company are short sold.
Singular Genomics Systems Stock Down 3.7 %
NASDAQ:OMIC traded down $0.85 during mid-day trading on Friday, hitting $21.90. The company’s stock had a trading volume of 29,920 shares, compared to its average volume of 35,229. The business’s fifty day moving average is $15.64 and its two-hundred day moving average is $11.40. Singular Genomics Systems has a 1 year low of $5.34 and a 1 year high of $23.41. The company has a debt-to-equity ratio of 0.04, a current ratio of 7.37 and a quick ratio of 8.04.
Singular Genomics Systems (NASDAQ:OMIC – Get Free Report) last issued its quarterly earnings data on Tuesday, November 12th. The company reported ($6.72) earnings per share for the quarter, topping analysts’ consensus estimates of ($8.05) by $1.33. The business had revenue of $0.41 million during the quarter, compared to the consensus estimate of $0.74 million. Singular Genomics Systems had a negative net margin of 3,237.89% and a negative return on equity of 57.87%.
Institutional Inflows and Outflows
About Singular Genomics Systems
Singular Genomics Systems, Inc, a life science technology company, develops next generation sequencing and multiomics technology for researchers and clinicians to advance science and medicine. The company is involved in the developing of G4, consisting of G4 instrument and associated consumables for various applications, such as max read kits for single cell sequencing, rare variant detection with high-definition sequencing, gene fusion detection with ring-seq, and extended range sequencing; and PX instrument and associated consumables for applications comprising single cell gene expression and proteomics, in situ RNA sequencing, and spatial RNA and proteomics applications for tissue.
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