Srisawad Corporation (SAWAD) Fair Value & Analysis
Financial Services · TH · Market cap 34.4B THB
Analysis
Srisawad Corporation (SAWAD) currently trades at 21.80 THB, while our model-based Fair Value estimate is 39.29 THB — implying the stock looks roughly 80.2% undervalued today. We read business quality at 91/100 (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
Srisawad Corporation Public Company Limited, together with its subsidiaries, provides financial services in Thailand and internationally. It operates through Hire Purchase; Loan; and Asset Management segment. The company provides loan granting, non-performing assets management, PICO finance loan, and credit sales services; and management and consulting services for retail credit systems. It also offers loan and debt collection; digital loan platform; and secured loans. In addition, the company provides motorcycles, car, truck, agricultural vehicle, home and land, and motorcycle hire purchase loans, as well as car, travel, truck, loan protection, personal accident, health, home, and accident insurance. Further, it invests in other companies; and engages in real estate business and activities related to real estate. It provides its services online. The company was formerly known as Srisawad Power 1979 Public Company Limited and changed its name to Srisawad Corporation Public Company L…
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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.