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PT Solusi Bangun Indonesia Tbk, (SMCB) Fair Value & Analysis

Basic Materials · ID · Market cap 7.0T IDR

Price775.00 IDR
Fair Value1,445 IDR
Upside+86.4%
Quality95/100
Evidence: High Range 956.40 IDR – 1,933 IDR

Analysis

PT Solusi Bangun Indonesia Tbk, (SMCB) currently trades at 775.00 IDR, while our model-based Fair Value estimate is 1,445 IDR — implying the stock looks roughly 86.4% 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 Solusi Bangun Indonesia Tbk, together with its subsidiaries, engages in the production and distribution of cement, ready-mixed concrete, and aggregates in Indonesia and internationally. It operates through three segments: Cement, Ready-mix Concrete and Aggregates Quarry, and Other Construction Services. The company provides other construction and consulting services. In addition, it is involved in mining activities; waste management services used as alternative fuel and raw materials; and aggregate quarry and construction activities. The company was formerly known as PT Holcim Indonesia Tbk and changed its name to PT Solusi Bangun Indonesia Tbk in March 2019. The company was founded in 1971 and is headquartered in Jakarta, Indonesia. PT Solusi Bangun Indonesia Tbk operates as a subsidiary of PT Semen Indonesia (Persero) Tbk.

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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.