PT TIMAH Tbk (TINS) Fair Value & Analysis
Basic Materials · ID · Market cap 24.1T IDR
Analysis
PT TIMAH Tbk (TINS) currently trades at 3,710 IDR, while our model-based Fair Value estimate is 2,593 IDR — implying the stock looks roughly 30.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
PT TIMAH Tbk engages in tin mining and smelting operations in Indonesia and internationally. It operates through Tin Mining, Coal Mining, Construction, Industry, and Other segments. The company offers Banka, Kundur, and Mentok tin, as well as tin solder and chemical products; and non-tin products, such as coal, nickel, and quartz sand. It is also involved in the provision of workshop, construction, shipping dockyards, real estate development, and transportation; marketing coal; and trading activities. In addition, the company provides engineering and ship repair services, such as maritime vessel maintenance, shipbuilding, rental and purchase of maritime products, and other shipyard services. Further, it offers reclamation and agribusiness services, including agriculture, livestock, fisheries, trade essential oil industry, and agro-tourism services. The company was founded in 1976 and is headquartered in Bangka, Indonesia. PT TIMAH Tbk operates as a subsidiary of PT Mineral Industri …
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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.