PT Bakrie & Brothers Tbk, through its subsidiaries, (BNBR) Fair Value & Analysis
Industrials · ID · Market cap 14.7T IDR
Analysis
PT Bakrie & Brothers Tbk, through its subsidiaries, (BNBR) currently trades at 109.00 IDR, while our model-based Fair Value estimate is 62.08 IDR — implying the stock looks roughly 43.0% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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: medium).
About the company
PT Bakrie & Brothers Tbk, through its subsidiaries, engages in the trading, construction, agriculture, coal mining, oil and gas, and telecommunication businesses in Indonesia and internationally. The company operates through Infrastructure and Manufacturing; Fabrication and Construction Services; and Trading, Services, and Investment segments. It offers automotive components, including ferrous foundry, precision machining, grey iron and steel casting, and pattern making. The company also provides fiber cement-based products; and ceiling and partition, mortars, and prefabricated house solutions, as well as flooring, fascia, and siding products. In addition, it owns, develops, and operates diversified assets portfolio and project pipelines comprising toll roads, power, oil and gas, ports, and telecommunication. Further, the company offers pipe manufacturing services consisting of electric resistance welding pipes, and longitudinal and helical submerged arc welding pipes; heavy industr…
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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.