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Ningbo Fangzheng Automobile Mould Co (300998) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 4.0B CNY

Price¥26.80
Fair Value¥4.38
Upside-83.7%
Quality87/100
Evidence: Medium Range ¥3.28 – ¥5.40

Fair value as of: Jun 24, 2026

Analysis

Ningbo Fangzheng Automobile Mould Co (300998) currently trades at ¥26.80, while our model-based Fair Value estimate is ¥4.38 — implying the stock looks roughly 83.7% overvalued today. We read business quality at 87/100 (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: medium).

About the company

Ningbo Fangzheng Automobile Mould Co.,Ltd. engages in the research, development, manufacture, and sale of automotive plastic molds. The company offers blow mold, air conditioning and air filtering, low pressure injection, console, door plate, dashboard, and bumper series. Ningbo Fangzheng Automobile Mould Co.,Ltd. was founded in 1999 and is headquartered in Ninghai, China.

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Frequently asked questions

Is Ningbo Fangzheng Automobile Mould Co (300998) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥4.38 versus a price of ¥26.80 — about −84% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 300998?
Our 21-model fair value for Ningbo Fangzheng Automobile Mould Co is ¥4.38 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥26.80.
What is the quality score of 300998?
Ningbo Fangzheng Automobile Mould Co has a Quality Score of 87/100, 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.