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PT Bima Sakti Pertiwi Tbk (PAMG) Fair Value & Analysis

Real Estate · ID · Market cap 156B IDR

Price51.00 IDR
Fair Value5.32 IDR
Upside-89.6%
Quality95/100
Evidence: Medium Range 3.99 IDR – 12.66 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Bima Sakti Pertiwi Tbk (PAMG) currently trades at 51.00 IDR, while our model-based Fair Value estimate is 5.32 IDR — implying the stock looks roughly 89.6% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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 Bima Sakti Pertiwi Tbk operates as a property developer in Indonesia. The company operates through Developer and Estate segments. It engages in the rental of mall space and hotel building. The company was founded in 1980 and is based in Pekanbaru, Indonesia.

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Frequently asked questions

Is PT Bima Sakti Pertiwi Tbk (PAMG) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 5.32 IDR versus a price of 51.00 IDR — about −90% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PAMG?
Our 21-model fair value for PT Bima Sakti Pertiwi Tbk is 5.32 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 51.00 IDR.
What is the quality score of PAMG?
PT Bima Sakti Pertiwi Tbk has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.