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PT Saptausaha Gemilangindah Tbk (SAGE) Fair Value & Analysis

Real Estate · ID · Market cap 185B IDR

Price25.00 IDR
Fair Value6.46 IDR
Upside-74.2%
Quality91/100
Evidence: Low Range 4.26 IDR – 8.07 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Saptausaha Gemilangindah Tbk (SAGE) currently trades at 25.00 IDR, while our model-based Fair Value estimate is 6.46 IDR — implying the stock looks roughly 74.2% 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: low).

About the company

PT Saptausaha Gemilangindah Tbk develops and sells residential and commercial real estate properties in Indonesia. It operates through Property, Planning Services, Building and Environmental Management, and Internet Service provider segments. It also engages in the provision of management and consulting services; and operates as an internet service provider. The company was founded in 1992 and is headquartered in Jakarta Pusat, Indonesia. PT Saptausaha Gemilangindah Tbk is a subsidiary of PT Fort Terang Sejahtera.

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Frequently asked questions

Is PT Saptausaha Gemilangindah Tbk (SAGE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 6.46 IDR versus a price of 25.00 IDR — about −74% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SAGE?
Our 21-model fair value for PT Saptausaha Gemilangindah Tbk is 6.46 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 25.00 IDR.
What is the quality score of SAGE?
PT Saptausaha Gemilangindah 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.