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PT Asuransi Bina Dana Arta Tbk (ABDA) Fair Value & Analysis

Financial Services · ID · Market cap 2.1T IDR

Price3,320 IDR
Fair Value2,040 IDR
Upside-38.6%
Quality95/100
Evidence: High Range 1,530 IDR – 2,550 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Asuransi Bina Dana Arta Tbk (ABDA) currently trades at 3,320 IDR, while our model-based Fair Value estimate is 2,040 IDR — implying the stock looks roughly 38.6% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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 Asuransi Bina Dana Arta Tbk operates as a general insurance company in Indonesia. The company offers car, motor vehicles, fire, personal accident and health, group health, freight, home, property, critical illness, engineering, marine cargo, miscellaneous, travel, and other insurance products. It also provides motor vehicle repair services. PT Asuransi Bina Dana Arta Tbk was founded in 1982 and is headquartered in Jakarta, Indonesia. PT Asuransi Bina Dana Arta Tbk is a subsidiary of Oona Insurance Pte. Ltd.

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Frequently asked questions

Is PT Asuransi Bina Dana Arta Tbk (ABDA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 2,040 IDR versus a price of 3,320 IDR — about −39% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ABDA?
Our 21-model fair value for PT Asuransi Bina Dana Arta Tbk is 2,040 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 3,320 IDR.
What is the quality score of ABDA?
PT Asuransi Bina Dana Arta 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.