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PT Graha Mitra Asia Tbk (RELF) Fair Value & Analysis

Real Estate · ID · Market cap 189B IDR

Price34.00 IDR
Fair Value25.39 IDR
Upside-25.3%
Quality91/100
Evidence: High Range 19.04 IDR – 29.17 IDR

Fair value as of: Jun 26, 2026

Analysis

PT Graha Mitra Asia Tbk (RELF) currently trades at 34.00 IDR, while our model-based Fair Value estimate is 25.39 IDR — implying the stock looks roughly 25.3% overvalued today. We read business quality at 91/100 (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: high).

About the company

PT Graha Mitra Asia Tbk provides real estate and property development services in Indonesia. The company provides real estate agency, real estate brokers, and intermediaries for buying, selling, leasing real estate on a fee or contract basis; real estate management services; and real estate appraisal services, as well as real estate probate agent services. PT Graha Mitra Asia Tbk was founded in 2018 and is headquartered in Bogor, Indonesia.

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Frequently asked questions

Is PT Graha Mitra Asia Tbk (RELF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 25.39 IDR versus a price of 34.00 IDR — about −25% (overvalued). Model-based estimate, not financial advice.
What is the fair value of RELF?
Our 21-model fair value for PT Graha Mitra Asia Tbk is 25.39 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 34.00 IDR.
What is the quality score of RELF?
PT Graha Mitra Asia Tbk has a Quality Score of 91/100, 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.