Fairvalue-Calculator Fairvalue-Calculator
EN DE

Shanghai Jinfeng Wine Company (600616) Fair Value & Analysis

Consumer Defensive · CN · Market cap 2.8B CNY

Price¥4.08
Fair Value¥2.20
Upside-46.1%
Quality94/100
Evidence: High Range ¥2.01 – ¥2.40

Fair value as of: Jun 24, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

Shanghai Jinfeng Wine Company (600616) currently trades at ¥4.08, while our model-based Fair Value estimate is ¥2.20 — implying the stock looks roughly 46.1% overvalued today. We read business quality at 94/100 (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: high).

About the company

Shanghai Jinfeng Wine Company Limited produces and sells rice wine products in China. The company was founded in 1992 and is headquartered in Shanghai, China.

Open the full interactive analysis →

Similar stocks

Kweichow Moutai Co (600519) +40% Wuliangye Yibin Co (000858) -35% Diageo plc (DEO) -27% Shanxi Xinghuacun Fen Wine Factory Co (600809) +118% Luzhou Laojiao Co (000568) -3% Pernod Ricard SA (PDRDF) -7%

Frequently asked questions

Is Shanghai Jinfeng Wine Company (600616) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥2.20 versus a price of ¥4.08 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600616?
Our 21-model fair value for Shanghai Jinfeng Wine Company is ¥2.20 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥4.08.
What is the quality score of 600616?
Shanghai Jinfeng Wine Company has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.