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Saksiam Leasing Public Company (SAK) Fair Value & Analysis

Financial Services · TH · Market cap 6.5B THB

Price3.10 THB
Fair Value5.47 THB
Upside+76.5%
Quality95/100
Evidence: High Range 4.10 THB – 9.35 THB

Fair value as of: Jun 26, 2026

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Analysis

Saksiam Leasing Public Company (SAK) currently trades at 3.10 THB, while our model-based Fair Value estimate is 5.47 THB — implying the stock looks roughly 76.5% 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

Saksiam Leasing Public Company Limited provides financial services in Thailand. It operates through Hire-purchase and Personal Loan, and Others segments. The company offers personal and secured loans, nano finance under supervision, and hire purchase loans. It also sells and trades drone equipment and agricultural drones. In addition, the company engages in the production and sales of solar energy; and renewable energy business. Saksiam Leasing Public Company Limited was incorporated in 1995 and is headquartered in Uttaradit, Thailand.

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Frequently asked questions

Is Saksiam Leasing Public Company (SAK) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 5.47 THB versus a price of 3.10 THB — about +76% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SAK?
Our 21-model fair value for Saksiam Leasing Public Company is 5.47 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 3.10 THB.
What is the quality score of SAK?
Saksiam Leasing Public Company 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.