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Lee & Man Paper Manufacturing Limited (LMPMF) Fair Value & Analysis

Basic Materials · US · Market cap $1.2B

Price$0.4200
Fair Value$0.6800
Upside+61.9%
Quality95/100
Evidence: High Range $0.6100 – $0.6800

Analysis

Lee & Man Paper Manufacturing Limited (LMPMF) currently trades at $0.4200, while our model-based Fair Value estimate is $0.6800 — implying the stock looks roughly 61.9% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Lee & Man Paper Manufacturing Limited, together with its subsidiaries, engages in the manufacture and trading of packaging paper, pulp, and tissue paper in the People's Republic of China, Vietnam, Malaysia, Macau, and Hong Kong. It operates through the Packaging Paper, Tissue Paper, and Pulp segments. The company offers packaging paper products, including kraft linerboard, test linerboard, coated duplex board, white-top linerboard, and high-strength corrugating medium; tissue paper products, comprising facial tissue, toilet paper, handkerchiefs, kitchen towels, napkins, and hand towels; pulp products, such as bleached hardwood, unbleached bamboo, and bleached bamboo kraft pulp; and coated duplex boards. It also provides after-sales services. The company was founded in 1994 and is headquartered in North Point, Hong Kong.

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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.