PT Hanjaya Mandala Sampoerna Tbk, (HMSP) Fair Value & Analysis
Consumer Defensive · ID · Market cap 73.3T IDR
Analysis
PT Hanjaya Mandala Sampoerna Tbk, (HMSP) currently trades at 660.00 IDR, while our model-based Fair Value estimate is 1,193 IDR — implying the stock looks roughly 80.8% 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
PT Hanjaya Mandala Sampoerna Tbk, together with its subsidiaries, engages in manufacture, distribution, and trading of cigarettes and other tobacco products in Indonesia and Internationally. It offers combustible cigarettes, including machine-made kretek (SKM), hand-rolled kretek, machine-made white, and hand-rolled white cigarettes under the Dji Sam Soe Magnum, Sampoerna Kretek, Sampoerna A, Magnum, and Marlboro Filter Black brand names. The company also provides smoke-free products, such as heat-not-burn, e-vapor, and oral smokeless products. In addition, it is involved in general trading; e-commerce and agency; and property development business. Further, the company offers general importer, warehousing, and delivery services; job training; and management consulting, advertising, and brand management services. The company was founded in 1913 and is headquartered in Surabaya, Indonesia. PT Hanjaya Mandala Sampoerna Tbk operates as a subsidiary of PT Philip Morris Indonesia.
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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.