XSpring Capital Public Company (XPG) Fair Value & Analysis
Financial Services · TH · Market cap 4.9B THB
Fair value as of: Jun 26, 2026
Analysis
XSpring Capital Public Company (XPG) currently trades at 0.4400 THB, while our model-based Fair Value estimate is 0.2900 THB — implying the stock looks roughly 34.1% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
XSpring Capital Public Company Limited, together with its subsidiaries, engages in the investment and securities businesses in Thailand and internationally. It operates through five segments: Securities, Fund Asset Management, Digital Assets, Asset Management, and Investment and Other. The company offers securities brokerage, trading, borrowing, and lending, as well as debt securities trading; derivatives agents and warrants; foreign exchange; private fund; financial advisory; and underwriting. It also manages mutual, private, and provident funds; and operates as REIT manager, limited broker, dealer, and underwriter. In addition, the company acquires non-performing loans and non-performing assets; manages portfolio and assets; and operates as digital assets broker and dealer which provides initial coin offering portal, cryptocurrency, and digital token, as well as digital token advisory and fund raising and underwriting. Further, it offers consultancy services; and invests in real e…
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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.