Ditto (Thailand) Public Company (DITTO) Fair Value & Analysis
Technology · TH · Market cap 9.2B THB
Fair value as of: Jun 24, 2026
Analysis
Ditto (Thailand) Public Company (DITTO) currently trades at 13.30 THB, while our model-based Fair Value estimate is 16.45 THB — implying the stock looks roughly 23.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: high) — always confirm before acting.
About the company
Ditto (Thailand) Public Company Limited engages in the distribution and rendering service of data and document management solutions in Thailand. The company rents, distributes, and services photocopiers, printers, and technology products, as well as renders technology engineering services for projects. It offers construction, mechanical, and electrical engineering systems; and information technology services. In addition, it is involved in the mangrove reforestation concession for carbon credits; point-of-sale, technical, and business process outsourcing services; data and document management, and green and climate technology solutions; and provision of data security services. Further, the company provides integrated CCTV solutions; i-BOX, an e-tax invoice solution; and E-VRT system, a software system that facilitates merchants in issuing documents and managing VAT refunds for foreign tourists. Ditto (Thailand) Public Company Limited was founded in 2013 and is headquartered in Bangk…
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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.