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Innovation New Material Technology Co (600361) Fair Value & Analysis

Basic Materials · CN · Market cap 15.4B CNY

Price¥4.14
Fair Value¥4.42
Upside+6.8%
Quality95/100
Evidence: Medium Range ¥3.31 – ¥5.70

Analysis

Innovation New Material Technology Co (600361) currently trades at ¥4.14, while our model-based Fair Value estimate is ¥4.42 — implying the stock looks roughly 6.8% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Innovation New Material Technology Co., Ltd. engages in the research, development, production, and processing of aluminum alloys and their products in China. Its products portfolio includes high-end aluminum alloy rods, profiles, structural parts, strip foil, and aluminum rods and cables used in 3C electronics, such as mobile phones, tablets, earphones, TV frames, and other products; automotive lightweight, including automobile wheels, battery trays, anti-collision beams, car seats, decorative strips and other components, and related products; new energy, such as solar panels, photovoltaic modules, and photovoltaic pillars; construction projects comprising urban rail transit, high-speed rail, and motor vehicle transportation; and other fields. The company was formerly known as Beijing Hualian Hypermarket Co., Ltd. The company was founded in 1996 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.