Jiangsu Linyang Energy Co (601222) Fair Value & Analysis
Industrials · CN · Market cap 12.7B CNY
Analysis
Jiangsu Linyang Energy Co (601222) currently trades at ¥5.85, while our model-based Fair Value estimate is ¥3.89 — implying the stock looks roughly 33.5% overvalued today. We read business quality at 95/100 (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
Jiangsu Linyang Energy Co., Ltd. provides energy meters, and system products and accessories in China. It operates in three segments: Smart Grid, New Energy, and Energy Storage. The company offers smart sector cover smart meters, power consumption information collection terminals and management systems, advanced metering architecture solutions, low-voltage smart circuit breakers, smart power distribution products and related solutions, and power internet of things smart terminals and solutions; and intelligent power distribution products and system solutions. It also involved in the investment, development, construction, and operation of various new energy power stations; and development and construction of photovoltaic power stations. In addition, the company engages in the supporting energy storage for new energy power generation, independent energy storage power stations, industrial and commercial user-side energy storage, and user-side photovoltaic storage microgrids. It also ex…
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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.