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Era Co (002641) Fair Value & Analysis

Industrials · CN · Market cap 5.1B CNY

Price¥4.05
Fair Value¥1.26
Upside-68.9%
Quality93/100
Evidence: High Range ¥1.10 – ¥1.86

Analysis

Era Co (002641) currently trades at ¥4.05, while our model-based Fair Value estimate is ¥1.26 — implying the stock looks roughly 68.9% overvalued today. We read business quality at 93/100 (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

Era Co., Ltd. engages in plastic pipe and solar energy businesses in China. The company offers polyvinyl chloride, polyethylene, and random copolymerized polypropylene, as well as various pipe fittings and valves, which are used in municipal pipeline network, industrial pipeline network, construction engineering, fire protection, power communication, whole house decoration, agricultural breeding, and gas pipeline network. It is also involved in the research and development, production, and sale of solar photovoltaic modules, and energy-saving and environmental protection products. In addition, it offers solar photovoltaic components, photovoltaic power generation systems, and photovoltaic building integration; and energy-saving and environmental protection products, such as solar lamps, low-voltage lamps, new energy storage, and other application products used in photovoltaic power generation, garden beautification, smart home, road traffic, outdoor camping, mobile energy storage, a…

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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.