Fairvalue-Calculator Fairvalue-Calculator
EN DE

Apple Flavor & Fragrance Group (603020) Fair Value & Analysis

Basic Materials · CN · Market cap 4.9B CNY

Price¥14.87
Fair Value¥3.00
Upside-79.8%
Quality89/100
Evidence: Medium Range ¥2.35 – ¥3.90

Analysis

Apple Flavor & Fragrance Group (603020) currently trades at ¥14.87, while our model-based Fair Value estimate is ¥3.00 — implying the stock looks roughly 79.8% overvalued today. We read business quality at 89/100 (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

Apple Flavor & Fragrance Group Co.,Ltd., together with its subsidiaries, engages in the manufacture and sale of flavors, fragrances, and food ingredients in China. It offers food flavors, including dairy, ice cream, beverage, confectionery, savory, bakery, and snack related flavors, as well as fragrances for perfumes, personal care, oral care, home care, and candle and air care products. The company also manufactures aroma ingredients, such as synthetic aroma chemicals, natural extracts, and fermentation natural chemicals. In addition, it offers food ingredients, such as dairy products, chocolate and cocoa products, fruit products, flavors and fragrances, breads, desserts, and other products. Apple Flavor & Fragrance Group Co.,Ltd. was founded in 1995 and is headquartered in Shanghai, China.

Open the full interactive analysis →

Similar stocks

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.