Costar Group (002189) Fair Value & Analysis
Technology · CN · Market cap 5.3B CNY
Analysis
Costar Group (002189) currently trades at ¥19.13, while our model-based Fair Value estimate is ¥5.51 — implying the stock looks roughly 71.2% 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: low).
About the company
Costar Group Co., Ltd. develops, manufactures, sells, and services optical components in China. It provides lens, prism, optical lens, optical accessories, photoresistor, etc., which are mainly used in digital projectors, digital cameras, smartphones, security monitoring products, etc.; and night vision sights, observation sights mirrors, aiming and target calibration systems, reconnaissance monitoring and display equipment, range of laser range finders, photoelectric countermeasure equipment, etc., which are mainly used in light weapons, individual soldier systems, and other fields. The company also offers projection display products, including ultrashort-throw projectors, engineering projectors, miniature projectors, and other product types, as well as multimedia classroom system solutions that are mainly for users, such as schools, commercial enterprises, and families. In addition, it provides micro-nano optics, functional coatings, new light source digital micro-displays, car ne…
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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.