Shenzhen Lihexing Co (301013) Fair Value & Analysis
Industrials · CN · Market cap 11.9B CNY
Analysis
Shenzhen Lihexing Co (301013) currently trades at ¥67.88, while our model-based Fair Value estimate is ¥12.82 — implying the stock looks roughly 81.1% overvalued today. We read business quality at 95/100 (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: low).
About the company
Shenzhen Lihexing Co.,Ltd. engages in the research and development, production, and sale of automation and intelligent equipment for information and communication technology industry in China. It provides stud welding equipment used in automatically soldering studs and shielding sheets to the middle frame of the phone using laser technology; AMOLED assembly equipment for covering OLED flexible screen with a protective film and a heat dissipation film; product transfer platform used for picking up and placing materials in the assembly and test equipment stations; and LCD panel automatic exposure equipment used for LCD screen production line, using UV lamp to solidify LCD screen. The company also offers charging test equipment primarily used to perform the charging test on the smart terminal; automatic plastic-envelop equipment used for sealing a layer of heat shrink film on the outer surface of the product packaging box; and 5G dielectric filter commissioning solution primarily used …
Open the full interactive analysis →
Similar stocks
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.