Shanghai Liangxin Electrical Co (002706) Fair Value & Analysis
Industrials · CN · Market cap 14.1B CNY
Analysis
Shanghai Liangxin Electrical Co (002706) currently trades at ¥12.48, while our model-based Fair Value estimate is ¥4.96 — implying the stock looks roughly 60.3% 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
Shanghai Liangxin Electrical Co.,LTD. manufactures and sells low-voltage electrical appliances in China and internationally. The company offers air circuit breakers, molded case circuit breakers, automatic transfer switching equipment, isolating switches, miniature circuit breakers, busbar and sockets, distribution boxes, surge protectors, hydraulic electromagnetic circuit breakers, AC contactors, contactor relays, switching capacitor contactors, tri-star starters, transfer switches, electronic overload relays, and motor protection circuit breakers. Its products are used in PV power generation, power transmission and distribution, wind power generation, electric power supply, rail transportation, port dock, telecom facility, industrial building, data center, commercial building, public building, civil residence, automobile manufacturing, welding equipment, charging facility, elevator conveying, construction lifting, steel and petrochemical, Compressor, air-conditioning and refrigera…
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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.