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Delixi New Energy Technology Co (603032) Fair Value & Analysis

Industrials · CN · Market cap 5.5B CNY

Price¥26.07
Fair Value¥4.63
Upside-82.2%
Quality90/100
Evidence: High Range ¥2.78 – ¥5.93

Analysis

Delixi New Energy Technology Co (603032) currently trades at ¥26.07, while our model-based Fair Value estimate is ¥4.63 — implying the stock looks roughly 82.2% overvalued today. We read business quality at 90/100 (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

Delixi New Energy Technology Co., Ltd. engages in the precision manufacturing and transportation businesses in the People's Republic of China and internationally. The company offers lithium battery cutting molds and precision structural parts. It is also involved in the passenger transportation and bus station services; and other businesses, including leasing of houses and warehouses, vehicle maintenance and parts sales, and road freight business. In addition, the company engages in the development, processing, and grinding of extrusion coating die heads and accessories; research, development, production, and sales of reducers and geared motors; and surface coating. The company was formerly known as Delixi Xinjiang Transportation Co.,Ltd. Delixi New Energy Technology Co., Ltd. was founded in 2003 and is based in Urumqi, the People's Republic of 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.