Guardforce AI (NASDAQ:GFAI – Get Free Report) announced that its board has authorized a stock buyback plan on Friday, February 20th, RTT News reports. The company plans to buyback $5.00 million in shares. This buyback authorization authorizes the company to buy up to 55.3% of its shares through open market purchases. Shares buyback plans are typically a sign that the company’s board believes its stock is undervalued.
Guardforce AI Stock Performance
Guardforce AI stock opened at $0.53 on Friday. The company has a debt-to-equity ratio of 0.01, a quick ratio of 5.22 and a current ratio of 5.26. The business has a fifty day moving average of $0.58 and a two-hundred day moving average of $0.87. Guardforce AI has a twelve month low of $0.38 and a twelve month high of $1.50.
Wall Street Analysts Forecast Growth
Several brokerages recently issued reports on GFAI. Wall Street Zen cut Guardforce AI from a “hold” rating to a “sell” rating in a research note on Sunday, November 16th. Weiss Ratings reissued a “sell (e+)” rating on shares of Guardforce AI in a research report on Monday, December 29th. One investment analyst has rated the stock with a Buy rating and one has assigned a Sell rating to the stock. Based on data from MarketBeat.com, the stock presently has an average rating of “Hold” and an average target price of $4.50.
About Guardforce AI
Guardforce AI Limited (NASDAQ:GFAI) is a developer of AI-powered robotics and automation solutions for security, health and service applications. Its offerings include autonomous patrol robots equipped with advanced computer vision and sensor fusion capabilities, disinfection robots utilizing UV and spray systems, and last-mile delivery units, all coordinated through a proprietary cloud-based management platform. These integrated solutions enable clients to enhance physical security, improve hygiene standards and optimize operational efficiency.
Established in 2021 and publicly listed on the Nasdaq stock exchange, Guardforce AI leverages its engineering expertise in machine learning algorithms and real-time analytics to meet the evolving needs of industries such as manufacturing, logistics, retail, healthcare and public infrastructure.
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