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Glarun Technology Co (600562) Fair Value & Analysis

Technology · CN · Market cap 26.7B CNY

Price¥22.40
Fair Value¥10.12
Upside-54.8%
Quality91/100
Evidence: High Range ¥6.79 – ¥12.65

Analysis

Glarun Technology Co (600562) currently trades at ¥22.40, while our model-based Fair Value estimate is ¥10.12 — implying the stock looks roughly 54.8% overvalued today. We read business quality at 91/100 (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: high).

About the company

Glarun Technology Co.,Ltd engages in the research and development, production, and sale of radar equipment and related systems, industrial software and intelligent manufacturing, smart rail transit, and related activities in China and internationally. The company offers primary, secondary, and other air traffic control radars; meteorological radars; meteorological application systems, such as wind, rain, and cloud measurement; and microwave devices and radio frequency components, as well as high and low voltage power supplies, and other sub-system products. It also provides industrial software for various categories, including research and development, design, intelligent production, intelligent security, intelligent management, and knowledge engineering, as well as digital intelligent rail transit products; and intelligent manufacturing for various fields comprising the industrial Internet technology platform, independent industrial software, and intelligent equipment for military …

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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.