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Beijing New Space Technology Co (605178) Fair Value & Analysis

Industrials · CN · Market cap 6.2B CNY

Price¥70.45
Fair Value¥50.43
Upside-28.4%
Quality93/100
Evidence: Medium Range ¥37.82 – ¥63.04

Analysis

Beijing New Space Technology Co (605178) currently trades at ¥70.45, while our model-based Fair Value estimate is ¥50.43 — implying the stock looks roughly 28.4% overvalued today. We read business quality at 93/100 (high quality), in the Industrials 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

Beijing New Space Technology Co., Ltd. engages in the provision of professional contracting services for urban and road lighting engineering. The company offers smart streetlamps, which provides a complete system platform and solutions, including intelligent lighting, communication services, video and environmental monitoring, energy services, security monitoring, information interaction, and municipal services. It is also involved in systematically building core theme brands based on the night economies, developing corresponding night tour products, and making coordinated arrangements for thematic activities and supporting services. In addition, the company offers planning consultation, night tour planning, thematic creative, business layout, and product creativity solutions. Beijing New Space Technology Co., Ltd. was founded in 2004 and is headquartered in Beijing, China.

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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.