AI + energy storage + token trading resonance, GUOXIA TECH (02655) enters a stage of high growth and valuation switching.

The State Statistics Bureau recently released the "Implementation Plan for Promoting the Construction of High-Quality Data Sets in Industries (Consultation Draft)" and openly solicited opinions from the public. In terms of innovative business models for high-quality data set, the plan proposes to promote the upgrade of business models from selling basic data packages to API calls, model-based solutions, and full-stack services, and put forward exploring new data set trading models such as "word element trading" to build a data set value system based on word elements that is quantifiable and priced. In this policy context, the relationship between data elements, AI computing power, and energy systems has received continuous attention from the market. GUOXIA TECH (02655) has proposed the "Energy Storage as Token" strategy and developed the "AI Token Energy Factory" business framework, mapping the energy storage system with AI computing power consumption to gradually expand energy measurement to tokenization. From a business logic perspective, this model attempts to embed energy storage systems into AI computing infrastructure systems, enabling them to participate in the optimization and expression of computing power cost structures beyond traditional power regulation functions. With the continuous expansion of AI large model training and token generation scale, the proportion of electricity costs in overall operating expenses is constantly increasing, reaching a high level in some scenarios. GUOXIA TECH optimizes the operation efficiency of energy storage systems with AI algorithm and dynamic scheduling mechanisms to reduce unit computing power consumption and enhance the adaptability of its products in data centers and AI computing scenarios. Potential link between policy and business models Under the background of exploring word element trading and data element pricing mechanisms, the impact of relevant policy changes on the industrial chain mainly manifests in two aspects: data measurement methods and the evolution of business models. The plan proposes to build a quantifiable and priced data value system based on word elements, pushing AI related resources from traditional crude data package pricing to a more refined logical unit measurement method. This direction to some extent strengthens the quantifiable relationship between "computing power - data - energy" in the AI industrial chain. Within this framework, GUOXIA TECH's "Energy Storage as Token" strategy maps the energy storage system with AI computing power consumption, attempting to establish a correspondence between energy and token output. Logically, this model is not a single... Financial data: Revenue and profit double, operational quality improves simultaneously In 2025, the company achieved revenue of 20.57 billion yuan, a year-on-year increase of 100.6%; realizing a profit of 103 million yuan, a year-on-year increase of 109.5%; gross profit of 383 million yuan, a year-on-year increase of 146.8%; with a comprehensive gross profit margin of 18.6%, a slight improvement from 15.1% in 2024. The net cash flow from operating activities increased from approximately 3.73 million yuan in 2024 to 145 million yuan. Structurally, the growth rate of gross profit is higher than that of revenue, reflecting an improvement in product structure and project execution efficiency. The significant improvement in cash flow has...