Guardforce AI Announces $5M Share Repurchase Program

Guardforce AI, a technology company specializing in Agentic AI and robotics, announced that its board of directors has approved a share repurchase program. The company is authorized to purchase up to $5 million of its outstanding ordinary shares. The move is often intended to signal confidence in the company's financial health and return value to shareholders.

- The share repurchase follows a reported 2024 fiscal year where Guardforce AI saw revenue increase slightly to $36.3 million, while its net loss significantly narrowed by 80.1% to $5.9 million, and gross profit margin improved to 17.2% from 14.9% in 2023. - This program comes after a period of stock underperformance, with the share price hitting 52-week lows in late 2024 and the company receiving a minimum bid price deficiency notice from Nasdaq. - The company's strategy centers on an "Intelligent Cloud Platform" (ICP), designed as a modular AI infrastructure to orchestrate its Robotics-as-a-Service (RaaS) and Agentic AI operations into a single ecosystem. - A key real-world test of this ecosystem is in Thailand, where an event-focused robot, "Wishnote," collects data that is then used by its AI-powered travel assistant, "DeepVoyage Go" (DVGO), to create personalized travel experiences. - In November 2025, the company launched DVGO Beta 2.0, an AI agent designed as a co-pilot for travel advisors to automate itinerary planning and client communication. - Signaling an expansion into new verticals, Guardforce AI signed a non-binding Letter of Intent in February 2026 to acquire MGAI Limited, an AI-driven platform for speech therapy and rehabilitation services. - The company's legacy-secured logistics business, primarily in Thailand, still accounts for the majority of its revenue, providing a stable financial base for its newer, high-growth AI and robotics initiatives. - CEO Lei Wang has stated the repurchase reflects confidence in the company's fundamentals and a strategy built on "real revenue, operational discipline, and a clear roadmap for our AI Agent platform."

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