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PT Kokoh Exa Nusantara Tbk (KOCI) Fair Value & Analysis

Real Estate · ID · Market cap 348B IDR

Price93.00 IDR
Fair Value38.06 IDR
Upside-59.1%
Quality91/100
Evidence: High Range 28.84 IDR – 59.80 IDR

Fair value as of: Jun 26, 2026

Analysis

PT Kokoh Exa Nusantara Tbk (KOCI) currently trades at 93.00 IDR, while our model-based Fair Value estimate is 38.06 IDR — implying the stock looks roughly 59.1% 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 Kokoh Exa Nusantara Tbk engages in the construction and real estate business in Indonesia. It also provides construction, consulting, architecture, and planning services. The company was founded in 2019 and is based in Bangkalan, Indonesia.

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Frequently asked questions

Is PT Kokoh Exa Nusantara Tbk (KOCI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 38.06 IDR versus a price of 93.00 IDR — about −59% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KOCI?
Our 21-model fair value for PT Kokoh Exa Nusantara Tbk is 38.06 IDR (as of Jun 26, 2026), built from audited fundamentals. The current price is 93.00 IDR.
What is the quality score of KOCI?
PT Kokoh Exa Nusantara 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.