Guangdong Lingxiao Pump Industry Co (002884) Fair Value & Analysis
Industrials · CN · Market cap 5.8B CNY
Analysis
Guangdong Lingxiao Pump Industry Co (002884) currently trades at ¥15.50, while our model-based Fair Value estimate is ¥24.72 — implying the stock looks roughly 59.5% 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
Guangdong Lingxiao Pump Industry Co.,Ltd. engages in the research, and development, design, production and sale of pumps in China and internationally. The company offers SPA, swimming pool, stainless centrifugal, and seawater pumps; industry in-line pump; stainless steel pumps, including horizontal single-stage, horizontal multi-stage, and vertical multi-stage stainless steel pumps; fitness and entertainment pumps; thermostat; submersible pumps, such as clean water, sewage submersible, submerged, and well submersible pumps; household cast iron pumps comprising no-self priming, self priming, and auto booster pumps; inline pumps; variable frequency constant pressure water supply equipment; and IEC motors. Its products are used in reverse osmosis water treatment, central air conditioning, frequency conversion constant pressure water supply, machine tool, massage bath crock, integration of domestic pool, mariculture, fountain, sewage treatment, irrigation, ornamental fish pond, solar ho…
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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.