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Hua Ying Technology (Group) Co (000536) Fair Value & Analysis

Technology · CN · Market cap 9.7B CNY

Price¥3.56
Fair Value¥1.20
Upside-66.3%
Quality95/100
Evidence: Medium Range ¥0.9000 – ¥1.50

Analysis

Hua Ying Technology (Group) Co (000536) currently trades at ¥3.56, while our model-based Fair Value estimate is ¥1.20 — implying the stock looks roughly 66.3% overvalued today. We read business quality at 95/100 (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: medium).

About the company

Hua Ying Technology (Group) Co.,Ltd. engages in the research and development, production, and sale of display panels and display modules. The company offers flat panel display devices and components, such as thin film transistors, thin film transistor liquid crystal display devices, color filter glass substrates, organic light emitting diodes (OLEDs), 3D displays, etc. It is also involved in the research, development, and sale of module products, as well as cover glass products. Its products have applications in various fields, including notebook computers, tablet computers, smart phones, POS machines, industrial control screens, and others. The company was formerly known as CPT Technology (Group) Co.,Ltd and changed its name to Hua Ying Technology (Group) Co.,Ltd. in May 2024. Hua Ying Technology (Group) Co.,Ltd. was founded in 1993 and is headquartered in Fuzhou, 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.