PT Tower Bersama Infrastructure Tbk, (TBIG) Fair Value & Analysis
Communication Services · ID · Market cap 32.1T IDR
Analysis
PT Tower Bersama Infrastructure Tbk, (TBIG) currently trades at 1,435 IDR, while our model-based Fair Value estimate is 1,430 IDR — implying the stock looks roughly 0.4% overvalued today. We read business quality at 93/100 (high quality), in the Communication Services 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 Tower Bersama Infrastructure Tbk, together with its subsidiaries, engages in central telecommunications construction, telecommunications installations, and cable-based telecommunications business. The company operates through Tower, Repeater, Building, and Fiber Optic segments. It engages in central construction of communication; wholesale trade in telecommunications equipment; services, trading, development, agriculture, industry, printing and transportation; and rental and leasing activity for mining and energy, and machines and equipment. The company is also involved in the operation of electricity power supply installations; operation of owned or leased real estate; and repair of electric motors generators, transformers, and telecommunications installations. In addition, it is involved in internet service, management consulting, construction, information and communication, employment, travel agents, and other business support, as well as wholesale trade of computer and comput…
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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.