Capita plc (CTAGF) Fair Value & Analysis
Industrials · US · Market cap $419M
Fair value as of: Jun 24, 2026
Analysis
Capita plc (CTAGF) currently trades at $3.50, while our model-based Fair Value estimate is $2.34 — implying the stock looks roughly 33.1% overvalued today. We read business quality at 95/100 (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
Capita plc operates as an outsourcer that supports clients across the public and private sectors in the United Kingdom, India, South Africa, and the rest of Europe. It operates through two divisions: Capita Public Service and Capita Experience. The company offers central government services, including intelligent automation; citizen experience; customer communications and digital services; operations, and transformation; learning and development; procurement; and public services procurement framework services. It also provides local government services, such as building resilient; digital operations; financial transformation; housing; local education authority software; planning, building control, and regulatory; property asset; and revenue and benefits services. In addition, the company offers customer journey mapping, behavioral science, and data and insight services; AI solutions; defense training and people development, data transformation and science, and AI services for defens…
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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.