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Chongqing Wangbian Electric (Group) Corp (603191) Fair Value & Analysis

Industrials · CN · Market cap 5.2B CNY

Price¥18.08
Fair Value¥5.31
Upside-70.6%
Quality95/100
Evidence: High Range ¥3.31 – ¥6.93

Analysis

Chongqing Wangbian Electric (Group) Corp (603191) currently trades at ¥18.08, while our model-based Fair Value estimate is ¥5.31 — implying the stock looks roughly 70.6% overvalued today. We read business quality at 95/100 (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

Chongqing Wangbian Electric (Group) Corp., Ltd. engages in the research and development, production, and sale of power transmission and distribution and control equipment, and grain-oriented silicon steel products in China. The company offers power transformers, prefabricated substations, integrated transformer-charger units, complete sets of electrical equipment, and iron core phases, which are used in power, agriculture, industry, commercial and residential electricity, and infrastructure construction sectors; general-grained silicon steel (CGO) and high-grained silicon steel (HiB), which are used in the manufacture of power transformer cores, as well as by power transformer and motor manufacturers. It is also involved in the electric vehicle charging business. The company was founded in 1994 and is based in Chongqing, 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.