JPMorgan Chase & Co. increased its stake in GoHealth, Inc. (NASDAQ:GOCO – Free Report) by 103.8% during the 4th quarter, according to the company in its most recent Form 13F filing with the Securities and Exchange Commission. The institutional investor owned 17,195 shares of the company’s stock after acquiring an additional 8,758 shares during the period. JPMorgan Chase & Co. owned approximately 0.08% of GoHealth worth $230,000 at the end of the most recent reporting period.
A number of other hedge funds and other institutional investors have also recently bought and sold shares of GOCO. Empowered Funds LLC raised its stake in GoHealth by 5.3% in the fourth quarter. Empowered Funds LLC now owns 23,218 shares of the company’s stock valued at $311,000 after buying an additional 1,170 shares in the last quarter. Barclays PLC raised its position in shares of GoHealth by 83.9% during the 3rd quarter. Barclays PLC now owns 9,580 shares of the company’s stock worth $89,000 after acquiring an additional 4,372 shares in the last quarter. Finally, Geode Capital Management LLC raised its position in shares of GoHealth by 3.2% during the 3rd quarter. Geode Capital Management LLC now owns 103,735 shares of the company’s stock worth $973,000 after acquiring an additional 3,205 shares in the last quarter. 24.21% of the stock is currently owned by hedge funds and other institutional investors.
GoHealth Stock Performance
Shares of GOCO opened at $8.81 on Friday. The company has a market capitalization of $202.71 million, a price-to-earnings ratio of -2.52 and a beta of 1.71. GoHealth, Inc. has a 52-week low of $7.27 and a 52-week high of $21.00. 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 stock has a 50 day moving average price of $12.21 and a 200 day moving average price of $13.14.
GoHealth Profile
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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