Mesnac Co (002073) Fair Value & Analysis
Industrials · CN · Market cap 5.7B CNY
Analysis
Mesnac Co (002073) currently trades at ¥5.40, while our model-based Fair Value estimate is ¥8.26 — implying the stock looks roughly 53.0% undervalued today. We read business quality at 92/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Mesnac Co., Ltd. engages in the research, development, and innovation of application software and information equipment for rubber industry in China and internationally. The company offers mixing solutions; mixer feeding systems; chemical weighing systems; rubber grinding and blending systems; volumetric metering systems; information management and control platform; one-step mixing system; batch-off line equipment; open mill automatic mixing systems; inner-liner production lines; pin type cold feed extruders; APH-2 AT-3 apex lines; steel cord belt cutters; steel cord ply cutting lines; and fabric and textile ply cutters. It also provides tire building machines; hydraulic cutting presses; tire mold systems; tire X-ray inspection machines; tire dynamic balance testing machine; tire uniformity testing machines; mixed reality application system; RFID tire whole solutions; RFID based tire production information acquisition, management, and control system; exhaust powder industry valves; …
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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.