Shanghai Guangdian Electric Group (601616) Fair Value & Analysis
Technology · CN · Market cap 3.2B CNY
Analysis
Shanghai Guangdian Electric Group (601616) currently trades at ¥3.81, while our model-based Fair Value estimate is ¥1.51 — implying the stock looks roughly 60.4% overvalued today. We read business quality at 86/100 (high quality), in the Technology 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: medium).
About the company
Shanghai Guangdian Electric Group Co., Ltd. manufactures and sells complete sets of equipment, power electronics, and components in China. The company provides power electronic products, such as medium-voltage and low-voltage switchgear, high-voltage and low-voltage start-up cabinets, intelligent precision power distribution cabinets, intelligent AC medium-voltage switchgear, marine AC low-voltage switch cabinet, box-type fixed AC and DC switch cabinet, dry-type power transformers, power and control cabinets, lighting boxes, low-voltage complete reactive power compensation devices, active power filter devices, and high-voltage variable frequency speed control devices. It also offers component products, including medium and low-voltage contactors and circuit breakers, intelligent control components, automatic power transfer switch, gas insulated ring main unit, charging pile, surge protector, and reactive power compensation devices. The company offers its products under the SGEG, Hon…
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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.