Houpu Clean Energy Group (300471) Fair Value & Analysis
Energy · CN · Market cap 4.3B CNY
Analysis
Houpu Clean Energy Group (300471) currently trades at ¥8.97, while our model-based Fair Value estimate is ¥1.44 — implying the stock looks roughly 83.9% overvalued today. We read business quality at 93/100 (high quality), in the Energy 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
Houpu Clean Energy Group Co., Ltd. provides clean energy equipment solutions in China and internationally. The company offers unmanned and LNG containerized refueling installation systems, L-CNG and LNG skid mounted refueling systems, LNG and CNG dispensers, CNG and LNG dispenser calibrators, CNG and LNG station fuel management systems, and intelligent nozzle removal detection devices; and marine double wall pipes, mobile LNG bunkering stations, shore-based and barges LNG bunkering stations, and fuel gas supply systems. It also provides LNG gas supply skid of road tanker, LNG split-type gas supply skid, LNG complete integrated regasification skid, LNG cylinder regasification skids, LNG gasification station control systems, and LNG permanent regasification stations; and hydrogen unloading PSOT, sequence panels, hydrogen refueling stations and control systems, hydrogen dispensers, and hydrogen dispenser calibrators. In addition, the company offers marine ethylene glycol heating system…
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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.