MH Robot & Automation Co (301199) Fair Value & Analysis
Industrials · CN · Market cap 3.6B CNY
Analysis
MH Robot & Automation Co (301199) currently trades at ¥18.55, while our model-based Fair Value estimate is ¥12.20 — implying the stock looks roughly 34.2% 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: high).
About the company
MH Robot & Automation Co., Ltd. provides intelligent equipment systems, Internet of Things system, planning and design, and EPC services in China and internationally. The company offers intelligent welding equipment system comprising of robot system, positioning fixture, welding device, water and electricity supply device, control system, and other equipment; and intelligent coating equipment system primarily based on automobile intelligent equipment system, including pretreatment, electrophoresis, spraying, and drying system. It also provides intelligent conveying system, such as skid, plate chain, ground drag, friction, roller, single-track bicycle trolley, double-track bicycle trolley, skateboard, reverse monorail, and painting double chain conveying systems; intelligent environmental protection system, including intelligent VOCs waste gas treatment and sewage treatment equipment system; and utility power system, equipment energy supply system, and intelligent monitoring and mana…
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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.