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PT Panin Financial Tbk (PNLF) Fair Value & Analysis

Financial Services · ID · Market cap 6.6T IDR

Price214.00 IDR
Fair Value428.00 IDR
Upside+100.0%
Quality80/100
Evidence: Medium Range 321.00 IDR – 535.00 IDR

Analysis

PT Panin Financial Tbk (PNLF) currently trades at 214.00 IDR, while our model-based Fair Value estimate is 428.00 IDR — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.

About the company

PT Panin Financial Tbk provides Sharia banking and financial services in Indonesia. It operates in two segments, Life Insurance and Business Consulting Service; and Banking and Multi-finance. The company offers life insurance products, including death, whole life, annuity, endowment, endowment combine, universal life, unit-linked, personal accident, and health insurance, as well as business consulting, management, and administration services. It also provides management consulting services in the field of archives; and mutual fund and investing services. The company was formerly known as PT Panin Life Tbk and changed its name to PT Panin Financial Tbk in 2010. PT Panin Financial Tbk was founded in 1974 and is headquartered in Jakarta, Indonesia. PT Panin Financial Tbk operates as a subsidiary of PT Paninvest Tbk.

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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.