TP ICAP Group (TCAP) Fair Value & Analysis
Financial Services · GB · Market cap 2.3B GBX
Fair value as of: Jun 25, 2026
Analysis
TP ICAP Group (TCAP) currently trades at p3.47, while our model-based Fair Value estimate is p3.87 — implying the stock looks roughly 11.4% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
TP ICAP Group PLC provides intermediary services, contextual insights, trade execution, pre-trade and settlement services, and data-led solutions in Europe, the Middle East, Africa, the Americas, and the Asia Pacific. It operates through Global Broking, Energy & Commodities, Liquidnet, and Parameta Solutions divisions. The Global Broking division operates in rates, foreign exchange (FX) and money markets, equities, and credit products; and offers broking, facilitating price discovery, and liquidity services. The Energy & Commodities division operates in various commodities markets, including oil, gas, power, renewables, ferrous metals, base metals, precious metals, soft commodities, and digital assets. This division also assists in canvassing the market for expressions of interest, intelligence gathering, negotiations, and post-transaction processing; and provides insights on the impact of unpredictable factors, such as weather conditions, geopolitics, and exchange rate movements. T…
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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.