Jiahe Foods Industry Co (605300) Fair Value & Analysis
Consumer Defensive · CN · Market cap 4.2B CNY
Analysis
Jiahe Foods Industry Co (605300) currently trades at ¥8.61, while our model-based Fair Value estimate is ¥1.42 — implying the stock looks roughly 83.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium).
About the company
Jiahe Foods Industry Co., Ltd. engages in the manufacture and sale of food ingredients in China and internationally. It offers original, organic oat, flavored and functional oat milk; crystal flower powder oil, plant protein and solid beverage, and syrup series; coffee liquid, coffee grounds, and coffee beans, as well as glucose, malt syrup, and flavored sugar. In addition, the company offers stone ground tofu pudding, osmanthus jelly, coconut jelly, osmanthus ice powder, and burn the grass jelly products; milk tea and liquid milk base. Its products are used in catering channels, such as beverage shop, cafe, bread dessert, hot pot, western and buffet, and other meals; and industrial channels that include milk drink and other beverages, solid drink, candy chocolate, healthy products, condiments and convenience foods, and other industries. The company was formerly known as Suzhou Jiahe Foods Industry Co., Ltd. and changed its name to Jiahe Foods Industry Co., Ltd. The company was foun…
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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.