Light Up Total Solution Public Company (LTS) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 601M THB
Fair value as of: Jun 24, 2026
Analysis
Light Up Total Solution Public Company (LTS) currently trades at 2.66 THB, while our model-based Fair Value estimate is 2.41 THB — implying the stock looks roughly 9.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Light Up Total Solution Public Company Limited, together with its subsidiaries, designs and trades in lighting systems in Thailand. The company operates through two segments: trading of lighting equipment and IT solutions. It offers doorlock, mixpad, and switch and outlet; decorative; and indoor, bedside, downlight led, downlight surface, downlight surface led, indoor wall light, led strip light and neon flex, magnetic track light, recessed downlight, step light, track light, track light surface, zinger linear light, bollard, ingound up light, and wall washer light. The company also provides IT system products and service outsourcing in the design and installation of network; and cabling system for computers, as well as distributes computers, and trades in lamps. Light Up Total Solution Public Company Limited was formerly known as Lightup Design Company Limited and changed its name to Light Up Total Solution Public Company Limited in July 2023. The company was incorporated in 2009 a…
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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.