GoHealth, Inc. (NASDAQ:GOCO – Get Free Report) saw a large decrease in short interest in the month of January. As of January 15th, there was short interest totalling 129,400 shares, a decrease of 8.7% from the December 31st total of 141,700 shares. Currently, 1.6% of the company’s shares are short sold. Based on an average daily trading volume, of 38,900 shares, the short-interest ratio is presently 3.3 days.
Wall Street Analysts Forecast Growth
Separately, Royal Bank of Canada reaffirmed a “sector perform” rating and set a $13.00 price objective on shares of GoHealth in a research note on Monday, October 21st.
Read Our Latest Research Report on GoHealth
Institutional Trading of GoHealth
GoHealth Trading Down 0.8 %
GoHealth stock traded down $0.13 during midday trading on Monday, reaching $16.18. The stock had a trading volume of 10,151 shares, compared to its average volume of 61,487. The company has a quick ratio of 1.18, a current ratio of 1.18 and a debt-to-equity ratio of 1.72. The firm has a market cap of $370.50 million, a price-to-earnings ratio of -4.62 and a beta of 1.64. GoHealth has a 52-week low of $7.27 and a 52-week high of $18.20. The company has a fifty day moving average of $13.43 and a 200 day moving average of $11.42.
GoHealth (NASDAQ:GOCO – Get Free Report) last issued its quarterly earnings results on Thursday, November 7th. The company reported ($3.73) earnings per share for the quarter, missing the consensus estimate of ($3.19) by ($0.54). GoHealth had a negative return on equity of 17.17% and a negative net margin of 4.32%. The business had revenue of $118.29 million during the quarter, compared to analysts’ expectations of $105.93 million. During the same quarter in the previous year, the company posted ($2.61) earnings per share. On average, analysts anticipate that GoHealth will post -5.5 earnings per share for the current fiscal year.
About GoHealth
GoHealth, Inc operates as a health insurance marketplace and Medicare-focused digital health company in the United States. The company operates a technology platform that leverages machine-learning algorithms of insurance behavioral data to optimize the process for helping individuals find the health insurance plan for their specific needs.
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