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PT Grand House Mulia Tbk (HOMI) Fair Value & Analysis

Real Estate · ID · Market cap 279B IDR

Price197.00 IDR
Fair Value28.41 IDR
Upside-85.6%
Quality95/100
Evidence: High Range 11.70 IDR – 42.07 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Grand House Mulia Tbk (HOMI) currently trades at 197.00 IDR, while our model-based Fair Value estimate is 28.41 IDR — implying the stock looks roughly 85.6% overvalued today. We read business quality at 95/100 (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 Grand House Mulia Tbk develops residential and commercial projects in Indonesia. It also provides real estate and accommodation services. The company was incorporated in 2006 and is headquartered in Bogor, Indonesia. PT Grand House Mulia Tbk is a subsidiary of PT Graha Mulia Indotama.

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Frequently asked questions

Is PT Grand House Mulia Tbk (HOMI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 28.41 IDR versus a price of 197.00 IDR — about −86% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HOMI?
Our 21-model fair value for PT Grand House Mulia Tbk is 28.41 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 197.00 IDR.
What is the quality score of HOMI?
PT Grand House Mulia 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.