Kunshan Asia Aroma Corp (301220) Fair Value & Analysis
Basic Materials · CN · Market cap 4.1B CNY
Analysis
Kunshan Asia Aroma Corp (301220) currently trades at ¥34.59, while our model-based Fair Value estimate is ¥13.77 — implying the stock looks roughly 60.2% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Kunshan Asia Aroma Corp., Ltd. engages in the research and development, production, and sale of spices and food additives in China. It offers natural ingredients, which include Acetaldehyde NAT, Octanal NAT, Nonanal NAT, 2-Methylbutyric Acid NAT, Ethyl 2-Methylbutyrate NAT, Vanillin Ex Eugenol NAT, Vanillin Ex Ferulic Acid NAT, Leaf alcohol NAT, Cis-3-Hexenyl Acetate NAT, Cis-3-Hexenyl Butyrate NAT, Citral NAT, a-Ionone NAT, Benzyl Alcohol NAT, Benzaldehyde NAT, Phenylacetic Acid NAT, Phenethyl Alcohol NAT, Methyl Cinnamate NAT, Cocoa Hexenal NAT, Succinic Acid NAT, Diethyl Succinate NAT, Linalool NAT, Raspberry Ketone NAT, Methyl Cyclopentenolone NAT, Maltol NAT, and Melonal NAT. It also provides synthetics ingredients, which includes Ligustral, Allyl Amyl Glycolate, Iso Amyl Acetate, Methyl Pamplemousse, Methyl Atratate, Dimetol, Cyclogalbanate, Fraistone, Leaf alcohol, Cis-3-Hexenyl Acetate, and Cis-3-Hexenyl Salicylate; and cooling products, Menthol Carboxamide and Menthyl Lacta…
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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.