PT Resource Alam Indonesia Tbk, (KKGI) Fair Value & Analysis
Energy · ID · Market cap 1.2T IDR
Fair value as of: Jun 24, 2026
Analysis
PT Resource Alam Indonesia Tbk, (KKGI) currently trades at 280.00 IDR, while our model-based Fair Value estimate is 359.00 IDR — implying the stock looks roughly 28.2% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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
PT Resource Alam Indonesia Tbk, together with its subsidiaries, engages in the coal mining business in Indonesia and internationally. It operates through Coal, Electricity, Nickel Ore Trade, Mining Service, Property, and Others segments. The company offers high-pressure laminates (HPL) and decorative sheets; and mining and excavation support services. It also engages in the sale of melamine laminated particle boards; development and operation of mini hydro power plants; ownership, development, and management of residential, commercial, and retail spaces; excavation of quartz; leasing of mining machinery and equipment; electricity supply; wholesale of fuel solid, liquid gas, and other products; and trading, real estate, and industrial activities. The company exports its products. The company was formerly known as PT Kurnia Kapuas Utama Tbk and changed its name to PT Resource Alam Indonesia Tbk in December 2003. PT Resource Alam Indonesia Tbk was founded in 1981 and is headquartered i…
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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.