Woodlandor Holdings (7025) Fair Value & Analysis
Basic Materials · MY · Market cap 24.0M MYR
Fair value as of: Jun 24, 2026
Analysis
Woodlandor Holdings (7025) currently trades at 0.6000 MYR, while our model-based Fair Value estimate is 0.6000 MYR — implying the stock looks roughly 0.0% undervalued today. We read business quality at 92/100 (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: medium) — always confirm before acting.
About the company
Woodlandor Holdings Berhad, an investment holding company, develops and produces wood-based products for the building and construction industry primarily in Malaysia and internationally. It operates through Manufacturing, Trading, and Property Development segments. The company manufactures and markets fire resistant doors, decorative fire-resistant doors, normal plywood flush doors, door and window frames, knocked down furniture, wooden household furniture, and rubber wood furniture. It is also involved in the manufacture, marketing, installation, and trading of prefabricated timber roof trusses; provision of timber ancillaries; and trading of timber. In addition, the company engages in the trading of building materials, including steel bars, concrete pipes, cement, magnesium oxide board, red brick, and wire mesh, as well as door ironmongeries and related accessories; trading of wood preservative chemicals, treated timber and plywood, and architectural hardware; property development…
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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.