AIRA Capital Public Company (AIRA) Fair Value & Analysis
Financial Services · TH · Market cap 6.5B THB
Fair value as of: Jun 26, 2026
Analysis
AIRA Capital Public Company (AIRA) currently trades at 1.01 THB, while our model-based Fair Value estimate is 0.3300 THB — implying the stock looks roughly 67.3% overvalued today. We read business quality at 80/100 (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: medium).
About the company
AIRA Capital Public Company Limited, together with its subsidiaries, engages in the investment and financial advisory activities in Thailand. It operates through Securities and Investment Business, Advisory and Investment Banking, Factoring, Rental and Service Business, and Property Development segments. The company offers securities brokerage, securities trading, investment advisory, securities underwriting, securities borrowing and lending, derivatives brokerage, and private fund management services. In addition, it provides financial services; hire purchase, financial lease, and operating lease for industrial equipment and machines; and private fund, mutual fund management and securities brokerage of investment unit services, as well as receivable factoring, venture capital, property development, and asset management businesses. Further, it is involved in the real estate industry. AIRA Capital Public Company Limited was founded in 2010 and is based in Bangkok, Thailand.
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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.