Ningbo Ligong Environment And Energy Technology Co (002322) Fair Value & Analysis
Industrials · CN · Market cap 3.9B CNY
Analysis
Ningbo Ligong Environment And Energy Technology Co (002322) currently trades at ¥10.35, while our model-based Fair Value estimate is ¥12.34 — implying the stock looks roughly 19.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Ningbo Ligong Environment And Energy Technology Co.,Ltd, together with its subsidiaries, engages in the research, development, production, sale, and servicing of online monitoring equipment for the electric power industry in the People's Republic of China. It operates through Online Power Monitoring Measurement System, Electricity Cost Soft Item, Water Quality Monitoring Equipment Note, Water Quality and Air Transport Dimension, and Others segments. The company offers smart grid online monitoring solutions, which cover substation monitoring, transmission class, scheduling class, power quality class, and others; environmental monitoring solutions; environmental protection and power information solutions; and environmental governance solutions comprising heavy metal treatment, soil repair, wastewater treatment, and atmospheric desulfurization and denitrification. It also engages in the sale of power cost estimation software and water quality monitoring testing equipment; soil remediat…
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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.