Shijiazhuang Kelin Electric Co (603050) Fair Value & Analysis
Technology · CN · Market cap 8.1B CNY
Analysis
Shijiazhuang Kelin Electric Co (603050) currently trades at ¥19.23, while our model-based Fair Value estimate is ¥10.87 — implying the stock looks roughly 43.5% overvalued today. We read business quality at 93/100 (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: high).
About the company
Shijiazhuang Kelin Electric Co., Ltd. operates in the electrical machinery and equipment manufacturing industry in China and internationally. The company offers substation automation products, including microcomputer protection measurement and control device, substation integrated automation system, DC power supply system, and smart integrated power system; power distribution automation products, such as smart distribution platform, fault indicators, feeder terminal units, distribution terminal units, and transformer terminal units; and advanced metering infrastructure products, including A.M.I platform, prepaid and post-paid smart meters, and data concentrators. It also provides primary and secondary distribution class, secondary transmission class, and ring main unit class; outdoor and indoor circuit breakers; current, potential, and combined current/potential transformers; dry and oil-immersed type distribution transformers; box-type substation; new energy system comprising solar…
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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.