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Hangzhou Hota M&E Holdings (001225) Fair Value & Analysis

Industrials · CN · Market cap 2.9B CNY

Price¥41.62
Fair Value¥10.92
Upside-73.8%
Quality94/100
Evidence: High Range ¥8.99 – ¥13.65

Fair value as of: Jun 25, 2026

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Analysis

Hangzhou Hota M&E Holdings (001225) currently trades at ¥41.62, while our model-based Fair Value estimate is ¥10.92 — implying the stock looks roughly 73.8% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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: high).

About the company

Hangzhou Hota M&E Holdings Co., Ltd. engages in the research, design, manufacturing and sale of material conveying equipment. It offers central chain bucket, low speed plate chain bucket, and steel-wire belt bucket elevators; and clinker pan, chain, and scraper chain conveyors. The company was incorporated in 1995 and is headquartered in Hangzhou, China.

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Frequently asked questions

Is Hangzhou Hota M&E Holdings (001225) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥10.92 versus a price of ¥41.62 — about −74% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 001225?
Our 21-model fair value for Hangzhou Hota M&E Holdings is ¥10.92 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥41.62.
What is the quality score of 001225?
Hangzhou Hota M&E Holdings has a Quality Score of 94/100, 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.