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Huaxin Resources Technology Co (301265) Fair Value & Analysis

Industrials · CN · Market cap 8.5B CNY

Price¥27.32
Fair Value¥4.96
Upside-81.8%
Quality89/100
Evidence: Medium Range ¥4.58 – ¥4.96

Analysis

Huaxin Resources Technology Co (301265) currently trades at ¥27.32, while our model-based Fair Value estimate is ¥4.96 — implying the stock looks roughly 81.8% overvalued today. We read business quality at 89/100 (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: medium).

About the company

Huaxin Resources Technology Co. Ltd. provides solid waste resource utilization, treatment, and disposal services. The company offers electronic waste and scrap motor vehicle dismantling, and waste electronic equipment recycling services. It provides recycling and dismantling of televisions, refrigerators, air conditioners, washing machines, computers, range hoods, electric water heaters, gas water heaters, printers, copiers, fax machines, monitors, mobile phones, and telephones; disposal of hazardous waste; and community garbage classification and recycling of primary commodity. The company also involved in community garbage sorting and recycling; scrapped asset recovery of enterprises and institutions; confidential carrier destruction services; and recycling of scrapped cars. Huaxin Resources Technology Co. Ltd. was founded in 2006 and is headquartered in Beijing, China.

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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.