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Keystone Technology Co (605588) Fair Value & Analysis

Technology · CN · Market cap 4.0B CNY

Price¥62.92
Fair Value¥39.62
Upside-37.0%
Quality90/100
Evidence: Low Range ¥29.72 – ¥49.53

Analysis

Keystone Technology Co (605588) currently trades at ¥62.92, while our model-based Fair Value estimate is ¥39.62 — implying the stock looks roughly 37.0% overvalued today. We read business quality at 90/100 (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

Keystone Technology Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of semiconductor display devices, specialty adhesive materials, and photomasks in China and internationally. The company offers semiconductor display devices comprising polarizers, functional components, signal connectors, LCD panels, and various production consumables for use in LCD TVs, smartphones, tablets, laptops, wearable devices, and other display terminals with screens. It also provides specialty adhesive materials consisting of tapes, fasteners, foams, protective films, and labels for use in the industrial, rail transportation, and automobile industries. In addition, the company offers semiconductor photomasks used in semiconductor chip manufacturing; and 4K and 8K ultra-clear modules. It exports its products. Keystone Technology Co.,Ltd. was founded in 2002 and is headquartered in Nanjing, 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.