PT Indocement Tunggal Prakarsa Tbk (INTP) Fair Value & Analysis
Basic Materials · ID · Market cap 13.1T IDR
Analysis
PT Indocement Tunggal Prakarsa Tbk (INTP) currently trades at 4,190 IDR, while our model-based Fair Value estimate is 11,494 IDR — implying the stock looks roughly 174.3% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
PT Indocement Tunggal Prakarsa Tbk manufactures and sells cement products in Indonesia and internationally. It operates in three segments: Cement, Ready-Mix Concrete, and Aggregates Quarries. The company offers cement products comprising Portland composite, hydraulic, oil well, white, and slag cement, as well as white and multipurpose mortar; ready-mix concrete for use in construction projects, including high-rise buildings and housing, roads, bridges, ports, and airports, as well as industrial and commercial infrastructure; and aggregate products, such as crushed stone, sand, and gravel products. It is also involved in the mining of aggregates and trass; shipping; port management; outsourcing; construction; and trading activities. The company exports its products. The company was founded in 1975 and is headquartered in Jakarta, Indonesia. PT Indocement Tunggal Prakarsa Tbk operates as a subsidiary of Heidelberg Materials AG.
Open the full interactive analysis →
Similar stocks
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.