Guardforce AI (NASDAQ:GFAI) Board Approves Stock Buyback Plan

Guardforce AI (NASDAQ:GFAI) announced that its board has initiated a share repurchase program on Friday, February 20th, RTT News reports. The company plans to buyback $5.00 million in shares. This buyback authorization authorizes the company to reacquire up to 55.3% of its stock through open market purchases. Stock buyback programs are usually a sign that the company’s board believes its stock is undervalued.

Guardforce AI Stock Up 24.2%

GFAI opened at $0.53 on Friday. The company has a quick ratio of 5.22, a current ratio of 5.26 and a debt-to-equity ratio of 0.01. Guardforce AI has a 12 month low of $0.38 and a 12 month high of $1.50. The company has a 50 day moving average of $0.58 and a 200 day moving average of $0.87.

Wall Street Analyst Weigh In

A number of research analysts have weighed in on the stock. Weiss Ratings reiterated a “sell (e+)” rating on shares of Guardforce AI in a research note on Monday, December 29th. Wall Street Zen downgraded Guardforce AI from a “hold” rating to a “sell” rating in a research note on Sunday, November 16th. One analyst has rated the stock with a Buy rating and one has assigned a Sell rating to the stock. According to data from MarketBeat.com, the stock has a consensus rating of “Hold” and an average price target 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.