On August 16, 2026, Longshine Technology Group Co.,Ltd. (300682.SZ) released its 2026 semi-annual report. The company posted total revenue of 1.482 billion yuan, down 3.89% year-on-year, and a net loss attributable to shareholders of 180 million yuan. The first-half loss stems from two factors: rapid growth in power trading business scale while facing risks from sharp regional electricity price fluctuations, leading to temporary operating losses; and the seasonal nature of energy digitalization services, with net profit typically concentrated in the fourth quarter.
Longshine Technology Group Co.,Ltd. is an AI-driven energy technology company, linking millions of power load users and assets. It leverages advanced AI to make energy services and operations more efficient, affordable, and green. The report shows that in the first half of 2026, the company's energy aggregation service and energy operation business scaled rapidly. The "Xindiantu" aggregated charging platform saw charging volume exceed 4.6 billion kWh, up over 65% year-on-year. Power trading expanded to 18 provinces, with trading volume exceeding 10 billion kWh in the first half, a fivefold increase from the same period last year. As the domestic new energy vehicle fleet continues to grow, alongside the deepening reform of electricity marketization and a maturing trading system, the company's two core businesses, Xindiantu aggregated charging and power trading, are entering a significant strategic development phase. Supported by industry policy and industrial dividends, the business growth momentum is strong, with ample long-term market expansion and value growth potential.
The report indicates that to advance the "AI+Energy" strategy and strengthen the core capabilities of its power trading AI agent, the company proactively optimized its power trading structure. It focused more on short-term trading categories requiring continuous orders and full competition, such as rolling matching and spot trading. The company explored the potential of its large power trading model in price discovery, deviation management, and risk control, actively increasing rebalancing frequency and spot trading ratios. In the short term, as the model stabilizes, substantial investment in training and optimization iteration leads to cost scale growth. Regional fluctuations in electricity prices may also cause interim financial impacts. In the long term, this enhances the company's capabilities in AI-based quantitative trading, risk control, and refined operations.
In June, the company launched the "Jiugong·Sinan" power trading agent—a safe, reliable, and trustworthy AI trading assistant designed for power trading professionals. The product aggregates electricity market data from all provinces in China, integrating the business experience and trading strategies Longshine Technology Group Co.,Ltd. has accumulated from deep participation in market transactions across over 20 provinces. Additionally, the company's internal team of over 50 professional traders continuously nurtures the agent's knowledge through daily practical applications, enabling it to accurately and deeply understand the power trading market, achieve low-hallucination analytical reasoning, and provide high-accuracy information feedback. This yields strategy recommendations with supporting evidence, risk assessments, and confidence levels. Relying on a closed-loop mechanism where "business experience feeds algorithms," the initiative drives the true application of AI technology in power trading business scenarios.