Heineken Malaysia Berhad, (3255) Fair Value & Analysis
Consumer Defensive · MY · Market cap 6.1B MYR
Fair value as of: Jun 24, 2026
Analysis
Heineken Malaysia Berhad, (3255) currently trades at 19.58 MYR, while our model-based Fair Value estimate is 27.68 MYR — implying the stock looks roughly 41.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Heineken Malaysia Berhad, together with its subsidiaries, engages in production, packaging, marketing, and distribution of alcoholic beverages primarily in Malaysia. It offers beers under the Heineken, Tiger, Guinness, Anchor, Edelweiss, and Kilkenny brand names; ciders under the Apple Fox brand name; shandy under the Anglia brand name; and non-alcoholic malt beverage under the Malta brand name. The company is also involved in property holding and land development activities. It also exports its products to Asian countries. The company was formerly known as Guinness Anchor Berhad and changed its name to Heineken Malaysia Berhad in April 2016. The company was incorporated in 1964 is based in Petaling Jaya, Malaysia. Heineken Malaysia Berhad operates as a subsidiary of GAPL Pte Ltd.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Heineken Malaysia Berhad, (3255) undervalued?
What is the fair value of 3255?
What is the quality score of 3255?
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.