Zhejiang Kingland Pipeline and Technologies Co (002443) Fair Value & Analysis
Basic Materials · CN · Market cap 5.7B CNY
Fair value as of: Jun 25, 2026
Analysis
Zhejiang Kingland Pipeline and Technologies Co (002443) currently trades at ¥11.11, while our model-based Fair Value estimate is ¥3.99 — implying the stock looks roughly 64.1% overvalued today. We read business quality at 88/100 (high quality), in the Basic Materials 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: medium).
About the company
Zhejiang Kingland Pipeline and Technologies Co.,Ltd., together with its subsidiaries, focuses on the research, development, manufacture, and sale of welded steel pipe products for the petroleum industry in China. The company offers hot dip galvanized steel pipes; feed water coated/lined with plastic composite pipes; coating the pipe; straight seam high frequency resistance welded steel pipes; spiral and straight seam submerged arc welded steel pipes; rolled straight seam submerged arc welded steel pipes; and FBE/2PE/3PE anti-corrosion steel pipes, as well as steel-plastic composite pipe fittings, and stainless-steel pipes and fittings. Its products are used in various applications, including oil and gas transportation, urban gas fire protection, chemical industry, water supply and drainage, construction, communication, electric power, structural pipes, and other fields. Zhejiang Kingland Pipeline and Technologies Co.,Ltd. was founded in 1981 and is headquartered in Huzhou, China.
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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.