Mida Assets Public Company (MIDA) Fair Value & Analysis
Financial Services · TH · Market cap 776M THB
Fair value as of: Jun 26, 2026
Analysis
Mida Assets Public Company (MIDA) currently trades at 0.4800 THB, while our model-based Fair Value estimate is 0.8000 THB — implying the stock looks roughly 66.7% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.
About the company
Mida Assets Public Company Limited, together with its subsidiaries, engages in the hire-purchase financing of electrical home appliances and motorcycles in Thailand. It provides products on hire purchase, such as televisions, DVD players, air conditioners, home theatre sets, refrigerators, washing machines, electric fans, etc., as well as sells merchandise. The company also develops real estate properties; operates hotels; operates and rents golf courses; and provides real estate agency services. In addition, it offers billboard and advertising services; public relation services; financial services for used cars; event organizing services; TV and radio programs; pawnshop; herbal supplement; and security guard services. Further, the company engages in the production of beer and various beverages; and management of hotels, resorts, commercial buildings, condominiums, and non-performing assets. The company was formerly known as Nakornpathom Mida 1991 and changed its name to Mida Assets…
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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.