Prosper Engineering Public Company (PROS) Fair Value & Analysis
Industrials · TH · Market cap 120M THB
Fair value as of: Jun 26, 2026
Analysis
Prosper Engineering Public Company (PROS) currently trades at 0.1700 THB, while our model-based Fair Value estimate is 0.1100 THB — implying the stock looks roughly 35.3% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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: low).
About the company
Prosper Engineering Public Company Limited, together with its subsidiaries, provides engineering systems, design, contracting, engineering consulting, and system maintenance services in Thailand. It operates through M&E Engineering; and Civil & Structure Engineering segments. The company installs electrical, communication, air conditioning, water supply, and fire protection systems. It also operates and installs engineering systems in various types of buildings, including shopping centers, superstores, product distribution centers, mobile telephone network centers, information centers, residential and office buildings, government and public sector buildings, hospitals, and industrial factories. The company's engineering systems portfolio includes high and low voltage, emergency power supply, telephone, computer network and cabling, fire alarm, public address, audio visual, closed-circuit television, master antenna television, access control, burglar alarm, and building automation sy…
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Frequently asked questions
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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.