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Kiatnakin Phatra Bank Public Company (KNFSF) Fair Value & Analysis

Financial Services · US · Market cap $1.6B

Price$1.32
Fair Value$2.64
Upside+100.0%
Quality95/100
Evidence: High Range $1.98 – $3.30

Analysis

Kiatnakin Phatra Bank Public Company (KNFSF) currently trades at $1.32, while our model-based Fair Value estimate is $2.64 — 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: high) — always confirm before acting.

About the company

Kiatnakin Phatra Bank Public Company Limited, together with its subsidiaries, provides various banking products and services for individual, business, corporate, and institution clients in Thailand. It operates through Commercial Banking Business, Capital Market Business, and Debt Restructuring segments. The company offers savings and current accounts, and fixed and foreign currency deposits; auto, personal, and home loans; life, health, and other insurance products; wealth invest link products; debit cards; digital banking, foreign exchange, and other services; and investment products. It also provides business banking products, including welfare packages; asset services; and real estate, apartment and hotel, and specialized industrial lending services. In addition, the company offers SME business loans; letters of guarantee; and car auction, PromptPay for legal entities, collection, payment, payroll, e-withholding tax, and other e-banking services. The company was formerly known a…

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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.