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PT Duta Anggada Realty Tbk. (DART) Fair Value & Analysis

Real Estate · ID · Market cap 361B IDR

Price118.00 IDR
Fair Value251.64 IDR
Upside+113.3%
Quality95/100
Evidence: High Range 251.64 IDR – 584.56 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Duta Anggada Realty Tbk. (DART) currently trades at 118.00 IDR, while our model-based Fair Value estimate is 251.64 IDR — implying the stock looks roughly 113.3% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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 Duta Anggada Realty Tbk. engages in the real estate development activities in Indonesia. The company develops, sells, rents, and manages residential apartments, office buildings, shopping centres, and hotels. It also provides tourism hospitality services. The company was formerly known as PT Duta Anggada Inti Pratama and changed its name to PT Duta Anggada Realty Tbk. in April 1997. PT Duta Anggada Realty Tbk. was founded in 1983 and is headquartered in Jakarta, Indonesia.

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Frequently asked questions

Is PT Duta Anggada Realty Tbk. (DART) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 251.64 IDR versus a price of 118.00 IDR — about +113% (undervalued). Model-based estimate, not financial advice.
What is the fair value of DART?
Our 21-model fair value for PT Duta Anggada Realty Tbk. is 251.64 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 118.00 IDR.
What is the quality score of DART?
PT Duta Anggada Realty 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.