Sichuan Teway Food Group (603317) Fair Value & Analysis
Consumer Defensive · CN · Market cap 14.7B CNY
Fair value as of: Jun 24, 2026
Analysis
Sichuan Teway Food Group (603317) currently trades at ¥13.42, while our model-based Fair Value estimate is ¥11.07 — implying the stock looks roughly 17.5% overvalued today. We read business quality at 89/100 (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
Sichuan Teway Food Group Co.,Ltd, together with its subsidiaries, engages in the research, development, production, and sale of compound seasonings in China. It operates through Parent Company, Tianwei Home, Tianwei Heyuan, Zigong Tianwei, Ruisheng Investment, Group Home, and Hainan Bohuai segments. The company offers ready-to-cook seasonings, hot pot seasonings, sauces, and other seasonings; and fish seasoning, handmade hot pot, beef tallow hot pot base, Chinese dish seasoning, crayfish seasoning, catering seasoning, winter seasoning, chicken powder, and non-spicy soup series products. It also provides hot pot base series products; soy, sweet bean, and spicy sauces; and customized seasoning solutions, such as fast food and Chinese food series, and specialty dishes. In addition, the company offers recipe-based seasonings, sausage and cured meat seasonings, and condiments. Further, it engages in investment and marketing planning activities. The company sells its products through offl…
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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.