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PT Fore Kopi Indonesia Tbk (FORE) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 5.6T IDR

Price690.00 IDR
Fair Value277.09 IDR
Upside-59.8%
Quality95/100
Evidence: High Range 180.27 IDR – 361.74 IDR

Fair value as of: Jun 24, 2026

Analysis

PT Fore Kopi Indonesia Tbk (FORE) currently trades at 690.00 IDR, while our model-based Fair Value estimate is 277.09 IDR — implying the stock looks roughly 59.8% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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 Fore Kopi Indonesia Tbk operates coffee stores under the Fore Coffee brand in Indonesia and Singapore. It operates through Beverages, Foods, and Others segments. The company engages in retail trading of beverage and food through coffee stores. It also operates doughnut stores. The company was founded in 2018 and is headquartered in Jakarta Pusat, Indonesia. PT Fore Kopi Indonesia Tbk operates as a subsidiary of Fore Holdings Pte. Ltd.

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Frequently asked questions

Is PT Fore Kopi Indonesia Tbk (FORE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 277.09 IDR versus a price of 690.00 IDR — about −60% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FORE?
Our 21-model fair value for PT Fore Kopi Indonesia Tbk is 277.09 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 690.00 IDR.
What is the quality score of FORE?
PT Fore Kopi Indonesia 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.