Beijing Forever Technology Co (300365) Fair Value & Analysis
Technology · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Beijing Forever Technology Co (300365) currently trades at ¥5.03, while our model-based Fair Value estimate is ¥8.13 — implying the stock looks roughly 61.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Beijing Forever Technology Co., Ltd. provides software development and technical services in the People's Republic of China. The company is involved in the development and sales of BIM platform and tool layer software; and provision of power grid engineering surveying and design, and new energy design services. It also offers 3D modeling engine, 3D digital earth platform, BIM engine, GIS engine, IoT engine, GIM engine, location service engine, artificial intelligence platform, and multimedia engine. In addition, the company provides digital infrastructure, smart operation and maintenance products; planning consulting, engineering surveying and design, and project services to power grid engineering, new energy sources such as photovoltaic and wind power, and smart microgrids business areas; energy services; and digital solutions. Further, it engages in digital education and overseas new energy businesses. Beijing Forever Technology Co., Ltd. was founded in 2000 and is based in Beijin…
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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.