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Shahe Industrial Co (000014) Fair Value & Analysis

Real Estate · CN · Market cap 2.5B CNY

Price¥9.58
Fair Value¥6.43
Upside-32.9%
Quality91/100
Evidence: Medium Range ¥5.29 – ¥7.76

Fair value as of: Jun 26, 2026

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Analysis

Shahe Industrial Co (000014) currently trades at ¥9.58, while our model-based Fair Value estimate is ¥6.43 — implying the stock looks roughly 32.9% overvalued today. We read business quality at 91/100 (high quality), in the Real Estate 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

Shahe Industrial Co., Ltd., together with its subsidiaries, develops and operates real estate properties in China. It also engages in property leasing; and operation and management of modern service-oriented industrial buildings. Shahe Industrial Co., Ltd. was founded in 1987 and is headquartered in Shenzhen, China.

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Frequently asked questions

Is Shahe Industrial Co (000014) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ¥6.43 versus a price of ¥9.58 — about −33% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 000014?
Our 21-model fair value for Shahe Industrial Co is ¥6.43 (as of Jun 26, 2026), built from audited fundamentals. The current price is ¥9.58.
What is the quality score of 000014?
Shahe Industrial Co has a Quality Score of 91/100, 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.