TPXimpact Holdings (TPX) Fair Value & Analysis
Technology · GB · Market cap 58.3M GBX
Fair value as of: Jun 24, 2026
Analysis
TPXimpact Holdings (TPX) currently trades at p0.7450, while our model-based Fair Value estimate is p0.2800 — implying the stock looks roughly 62.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
TPXimpact Holdings plc, together with its subsidiaries, provides digital native technology services in the United Kingdom, Switzerland, and internationally. It operates through three segments: Digital Transformation, Manifesto, and Keep IT Simple. The company provides data services for data strategy and governance, data engineering, open data, data science and AI, data analytics and insights, and data operations; design services, including strategy and transformation, service design, design research, product and interaction design, content design, and digital experience design; and technology services comprising technology consulting, cloud and architecture, automation, application, service management, software engineering, and cyber security services. It also offers digital service consultancy, software development, data, and automation; digital experience agency; digital transformation consultancy; managed services in service integration and management; strategic and management co…
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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.