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Mingxin New Material Co (605068) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 3.1B CNY

Price¥18.80
Fair Value¥2.01
Upside-89.3%
Quality95/100
Evidence: Medium Range ¥1.51 – ¥2.51

Fair value as of: Jun 24, 2026

Analysis

Mingxin New Material Co (605068) currently trades at ¥18.80, while our model-based Fair Value estimate is ¥2.01 — implying the stock looks roughly 89.3% 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: medium).

About the company

Mingxin New Material Co.,Ltd. engages in the research, development, production and sales of automotive interior materials in China. The company offers Verona microfiber, Menocra microfiber, Mingxin leather, and Hurongo PU materials used in seats, steering wheels, dashboards, headrests, armrests, ceilings, etc. The company was formerly known as Mingxin Automotive Leather Co., Ltd. and changed its name to Mingxin New Material Co.,Ltd. in January 2016. The company was founded in 2005 and is headquartered in Jiaxing, China.

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Frequently asked questions

Is Mingxin New Material Co (605068) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥2.01 versus a price of ¥18.80 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 605068?
Our 21-model fair value for Mingxin New Material Co is ¥2.01 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥18.80.
What is the quality score of 605068?
Mingxin New Material 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.