Changhong Huayi Compressor Co (000404) Fair Value & Analysis
Industrials · CN · Market cap 5.5B CNY
Analysis
Changhong Huayi Compressor Co (000404) currently trades at ¥7.60, while our model-based Fair Value estimate is ¥14.93 — implying the stock looks roughly 96.4% undervalued today. We read business quality at 81/100 (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
Changhong Huayi Compressor Co., Ltd., together with its subsidiaries, engages in the research and development, production, and sale of household and commercial compressors under the HUAYI, JIAXIPERA, VELLE, and CUBIGEL brands in China and internationally. The company develops and sells new energy vehicle air-conditioning compressors; fully enclosed piston compressors; raw materials and accessories; and various refrigeration appliances, including refrigerators, freezers, water dispensers, ice makers, and dehumidifiers. Its products are used in household refrigerators, freezers, supermarket refrigerated display cabinets, fresh-keeping cabinets, vending machines in airports, schools, office buildings, and commercial streets, etc. The company was formerly known as Huayi Compressor Co., Ltd. and changed its name to Changhong Huayi Compressor Co., Ltd. in July 2018. Changhong Huayi Compressor Co., Ltd. was founded in 1996 and is based in Jingdezhen, 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.