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PT Djasa Ubersakti Tbk (PTDU) Fair Value & Analysis

Industrials · ID · Market cap 105B IDR

Price70.00 IDR
Fair Value12.79 IDR
Upside-81.7%
Quality88/100
Evidence: Medium Range 12.79 IDR – 28.57 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Djasa Ubersakti Tbk (PTDU) currently trades at 70.00 IDR, while our model-based Fair Value estimate is 12.79 IDR — implying the stock looks roughly 81.7% overvalued today. We read business quality at 88/100 (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 Djasa Ubersakti Tbk engages in the construction of residential buildings in Indonesia. It operates through the Construction Services and Sales Of Landed House segments. The company is also involved in the ownership and leasing of real estate; and large-scale trade of machinery, equipment, and other equipment, as well as building materials. PT Djasa Ubersakti Tbk was founded in 1971 and is based in Jakarta Selatan, Indonesia.

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Frequently asked questions

Is PT Djasa Ubersakti Tbk (PTDU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 12.79 IDR versus a price of 70.00 IDR — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PTDU?
Our 21-model fair value for PT Djasa Ubersakti Tbk is 12.79 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 70.00 IDR.
What is the quality score of PTDU?
PT Djasa Ubersakti Tbk has a Quality Score of 88/100, 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.