Shenzhen Maxonic Automation Control Co (300112) Fair Value & Analysis
Industrials · CN · Market cap 2.0B CNY
Fair value as of: Jun 25, 2026
Analysis
Shenzhen Maxonic Automation Control Co (300112) currently trades at ¥6.68, while our model-based Fair Value estimate is ¥3.48 — implying the stock looks roughly 47.9% overvalued today. We read business quality at 91/100 (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 Maxonic Automation Control Co., Ltd. focuses on the research and development, production, and sale of intelligent automation instruments and related solutions in China and internationally. The company offers valve positioners, actuators, flow meters, control valves, signal conditioning instruments, material and liquid level instruments, temperature meters, pressure meters and gauges, gas detectors, alarms, gas shut-off valves, and other component instruments, as well as MEMS pressure and gas sensors; and power monitoring products and transmitters. Its products are used in petroleum, chemical, electric power, metallurgy, environmental protection, light, medicine, food and beverage, brewing, new energy, fire protection, security, and aerospace industries, as well as building materials, smart cities, urban gas, and other fields. The company was founded in 1994 and is headquartered in Shenzhen, 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.