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IBFN (IBFN) Fair Value & Analysis

Financial Services · ID · Market cap 80.4B IDR

Price79.00 IDR
Fair Value158.00 IDR
Upside+100.0%
Quality95/100
Evidence: Low Range 118.50 IDR – 158.00 IDR

Fair value as of: Jun 23, 2026

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Analysis

IBFN (IBFN) currently trades at 79.00 IDR, while our model-based Fair Value estimate is 158.00 IDR — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

PT Intan Baru Prana Tbk distributes commercial transportation equipment in Indonesia. It also engages in developing transportation and heavy equipment rental business. The company was founded in 1991 and is headquartered in Jakarta, Indonesia. PT Intan Baru Prana Tbk operates as a subsidiary of PT Intraco Penta Tbk.

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Frequently asked questions

Is IBFN (IBFN) undervalued?
As of Jun 23, 2026, our model estimates a fair value of 158.00 IDR versus a price of 79.00 IDR — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of IBFN?
Our 21-model fair value for IBFN is 158.00 IDR (as of Jun 23, 2026), built from audited fundamentals. The current price is 79.00 IDR.
What is the quality score of IBFN?
IBFN 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.