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PT Pulau Subur Tbk (PTPS) Fair Value & Analysis

Consumer Defensive · ID · Market cap 199B IDR

Price125.00 IDR
Fair Value154.25 IDR
Upside+23.4%
Quality95/100
Evidence: High Range 105.35 IDR – 200.53 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Pulau Subur Tbk (PTPS) currently trades at 125.00 IDR, while our model-based Fair Value estimate is 154.25 IDR — implying the stock looks roughly 23.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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 Pulau Subur Tbk provides palm oil development services in Indonesia. It also engages in agriculture, trading, forestry, fisheries, and services business. The company was founded in 1980 and is based in Palembang, Indonesia. PT Pulau Subur Tbk operates as a subsidiary of PT. Sekawan Kontrindo.

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Frequently asked questions

Is PT Pulau Subur Tbk (PTPS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 154.25 IDR versus a price of 125.00 IDR — about +23% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PTPS?
Our 21-model fair value for PT Pulau Subur Tbk is 154.25 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 125.00 IDR.
What is the quality score of PTPS?
PT Pulau Subur 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.