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PT Multisarana Intan Eduka Tbk (MSIE) Fair Value & Analysis

Real Estate · ID · Market cap 145B IDR

Price87.00 IDR
Fair Value51.28 IDR
Upside-41.1%
Quality85/100
Evidence: Low Range 38.27 IDR – 76.53 IDR

Fair value as of: Jun 26, 2026

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Analysis

PT Multisarana Intan Eduka Tbk (MSIE) currently trades at 87.00 IDR, while our model-based Fair Value estimate is 51.28 IDR — implying the stock looks roughly 41.1% overvalued today. We read business quality at 85/100 (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 Multisarana Intan Eduka Tbk engages in the rental of buildings for educational infrastructure in Indonesia. It leases two properties located in Jl. Pattimura, Surabaya. The company was founded in 2011 and is based in Surabaya, Indonesia.

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Frequently asked questions

Is PT Multisarana Intan Eduka Tbk (MSIE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 51.28 IDR versus a price of 87.00 IDR — about −41% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MSIE?
Our 21-model fair value for PT Multisarana Intan Eduka Tbk is 51.28 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 87.00 IDR.
What is the quality score of MSIE?
PT Multisarana Intan Eduka Tbk has a Quality Score of 85/100, 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.