Longshine Technology Group (300682) Fair Value & Analysis
Technology · CN · Market cap 12.5B CNY
Analysis
Longshine Technology Group (300682) currently trades at ¥11.39, while our model-based Fair Value estimate is ¥3.47 — implying the stock looks roughly 69.5% overvalued today. We read business quality at 88/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Longshine Technology Group Co., Ltd., together with its subsidiaries, engages in software development in China and internationally. The company operates through three segments: Energy Digitalization, Internet TV, and Energy Internet. It offers living payment, OTTTV, and intelligent travel solutions, as well as sports management service platform, digital intelligence class, city operation center, intelligent community, and Beijing and all-in-one system for government and enterprises. The company also provides power marketing management, integrated energy service, and overseas power marketing system; HanClouds industrial internet platform; digital finance service platform; electricity approach; intelligent irrigation solution; digital foreign trade; and technology and business research, as well as information, management, and business consulting. In addition, it is involved in technology development and technical services; foreign investment management; operation, management, and supp…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.