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Chongqing Fuling Electric Power Industrial Co (600452) Fair Value & Analysis

Utilities · CN · Market cap 16.2B CNY

Price¥10.12
Fair Value¥5.70
Upside-43.7%
Quality95/100
Evidence: High Range ¥4.24 – ¥6.88

Analysis

Chongqing Fuling Electric Power Industrial Co (600452) currently trades at ¥10.12, while our model-based Fair Value estimate is ¥5.70 — implying the stock looks roughly 43.7% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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 Fuling Electric Power Industrial Co., Ltd. engages in power supply business in China. It operates in two segments, Power Grid Business and Energy Saving Business. The company engages in the supply and sale of electricity, power dispatching, and power resource development; and design, installation, and dispatching of power transmission and transformation projects, as well as power testing, designing, stringing, adjusting, and maintaining. It also provides energy-saving transformation and energy efficiency management solutions for distribution network energy saving and loss reduction, including distribution network energy efficiency management system, multi-level linkage and regional management, transformation of energy-saving equipment in distribution network, and other products. The company was founded in 1999 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.