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Hubei Huarong Holding (600421) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 50.9M CNY

Price¥0.2400
Fair Value¥0.1500
Upside-37.5%
Quality90/100
Evidence: Low Range ¥0.1100 – ¥0.1900

Fair value as of: Jun 24, 2026

Analysis

Hubei Huarong Holding (600421) currently trades at ¥0.2400, while our model-based Fair Value estimate is ¥0.1500 — implying the stock looks roughly 37.5% overvalued today. We read business quality at 90/100 (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

Hubei Huarong Holding Co.,Ltd., through its subsidiaries, provides molds, mold tables, and various tooling shelves for prefabricated concrete (PC) components used in housing construction application. It offers PC stairs, wall panels, balconies, windows, and other products; templates and other related products; and labor services. The company was formerly known as Hubei Yangfan Holding Co., Ltd. and changed its name to Hubei Huarong Holding Co.,Ltd. in November 2020. Hubei Huarong Holding Co.,Ltd. was founded in 1997 and is headquartered in Wuhan, China.

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Frequently asked questions

Is Hubei Huarong Holding (600421) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥0.1500 versus a price of ¥0.2400 — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600421?
Our 21-model fair value for Hubei Huarong Holding is ¥0.1500 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥0.2400.
What is the quality score of 600421?
Hubei Huarong Holding has a Quality Score of 90/100, 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.