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The Thai Setakij Insurance Public Company (TSI) Fair Value & Analysis

Financial Services · TH · Market cap 114M THB

Price0.0600 THB
Fair Value0.0660 THB
Upside+10.0%
Quality95/100
Evidence: High Range 0.0600 THB – 0.0780 THB

Fair value as of: Jun 26, 2026

Analysis

The Thai Setakij Insurance Public Company (TSI) currently trades at 0.0600 THB, while our model-based Fair Value estimate is 0.0660 THB — implying the stock looks roughly 10.0% 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

The Thai Setakij Insurance Public Company Limited engages in the non-life insurance business in Thailand. The company operates through Fire, Marine and Transportation, Motor, and Miscellaneous segments. It provides fire, marine and transportation, motor, car, personal accident, travel, and freight insurance products through branch representatives and service centers. The company was incorporated in 1942 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is The Thai Setakij Insurance Public Company (TSI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.0660 THB versus a price of 0.0600 THB — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TSI?
Our 21-model fair value for The Thai Setakij Insurance Public Company is 0.0660 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.0600 THB.
What is the quality score of TSI?
The Thai Setakij Insurance 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.