Shaanxi Baoguang Vacuum Electric Device Co (600379) Fair Value & Analysis
Industrials · CN · Market cap 3.9B CNY
Analysis
Shaanxi Baoguang Vacuum Electric Device Co (600379) currently trades at ¥12.48, while our model-based Fair Value estimate is ¥2.58 — implying the stock looks roughly 79.3% overvalued today. We read business quality at 91/100 (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
Shaanxi Baoguang Vacuum Electric Device Co., Ltd. engages in the production and sale of vacuum interrupters in China. The company operates through two segments: Power Equipment and New Energy. The Power Equipment business offers a vacuum interrupter, which is the core component of the power transmission and transformation line interrupter, which is used in mining, smelting, chemical industry, equipment manufacturing, light industry manufacturing, rail transportation, and other industrial and mining enterprises. It also offers metallized ceramics used for the insulating shells of vacuum interrupters. The New Energy business provides EMS software; sells system software and invests in various types of power energy storage assets; power auxiliary services, such as frequency regulation, voltage regulation, peak regulation, standby, and simultaneously; overall solutions for green energy factories; and technical support and other services. The company is also involved in the hydrogen energ…
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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.