Lanpec Technologies Limited (601798) Fair Value & Analysis
Energy · CN · Market cap 2.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Lanpec Technologies Limited (601798) currently trades at ¥7.20, while our model-based Fair Value estimate is ¥1.92 — implying the stock looks roughly 73.3% overvalued today. We read business quality at 94/100 (high quality), in the Energy 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
Lanpec Technologies Limited operates in the petrochemical equipment manufacturing industry in China and internationally. The company offers plate-and-shell heat exchanger, welded plate heat exchanger, high-efficiency tubular heat exchanger, air cooler, waste heat recovery, evaporative crystallizer, tower, natural gas dehydration unit, slug catcher system, gas filtration and separation, crude oil stabilizer, produced water treatment system, fuel gas treatment system, chemical injection system, and coupling power tongs; LNG receiving terminal technology and equipment; marine exhaust gas scrubbing system for SOx/CO2 removal; FPSO upper module light hydrocarbon treatment and storage equipment; utility systems, such as diesel tanks, potable water tanks, and open and closed drain tanks; pig launch and receiver device; wellhead gathering and allocation system; and three phase oil, gas, and water separation system. It also provides storage and transportation engineering, spherical tank engi…
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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.