Zhangjiagang Furui Special Equipment Co (300228) Fair Value & Analysis
Industrials · CN · Market cap 4.9B CNY
Analysis
Zhangjiagang Furui Special Equipment Co (300228) currently trades at ¥7.67, while our model-based Fair Value estimate is ¥10.25 — implying the stock looks roughly 33.6% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
Zhangjiagang Furui Special Equipment Co., Ltd. provides solutions to the LNG industry in China and internationally. The company's products include LNG liquefaction skid, marine loading arm, LNG marine loading arm, LNG truck loading skid, truck loading arm, gangway, quick release hook, cryogenic storage tank, cryogenic ISO tank container, cryogenic road tanker, LNG regasification station, LNG refuelling station, cryogenic marine tank, intelligent gas supply system, LNG vehicle cylinder, cryogenic liquid cylinder, marine offshore module, speed tank system, LNG cryogenic valve, cryogenic globe valve, LNG loading and unloading control system, I-BOX intelligent box, HMI display and control unit, batch controller, hydrogen test platform, IOT + intelligent system, and DCS system. It also provides skid and module, pressure vessel and tank, bullet tank, reactor, heat exchanger, and column and tower equipment for energy sector; and mounded bullet tank. In addition, the company offers gas reco…
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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.