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Nanning Department Store Co (600712) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.9B CNY

Price¥5.07
Fair Value¥0.9300
Upside-81.7%
Quality95/100
Evidence: Low Range ¥0.6900 – ¥1.39

Fair value as of: Jun 24, 2026

Analysis

Nanning Department Store Co (600712) currently trades at ¥5.07, while our model-based Fair Value estimate is ¥0.9300 — implying the stock looks roughly 81.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: low).

About the company

Nanning Department Store Co., Ltd. engages in commercial retail business in the People's Republic of China. It is involved in department stores, home appliances, supermarkets, automobiles, and e-commerce business. Nanning Department Store Co., Ltd. was founded in 1956 and is headquartered in Nanning, China.

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Frequently asked questions

Is Nanning Department Store Co (600712) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥0.9300 versus a price of ¥5.07 — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600712?
Our 21-model fair value for Nanning Department Store Co is ¥0.9300 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥5.07.
What is the quality score of 600712?
Nanning Department Store Co has a Quality Score of 95/100, 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.