Intercontinental Exchange, Inc (I1CE34) Fair Value & Analysis
Basic Materials · BR · Market cap R$184B
Fair value as of: Jun 24, 2026
Analysis
Intercontinental Exchange, Inc (I1CE34) currently trades at R$334.47, while our model-based Fair Value estimate is R$86.67 — implying the stock looks roughly 74.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).
About the company
Intercontinental Exchange, Inc., together with its subsidiaries, provides technology and data to financial institutions, corporations, and government entities in the United States, the United Kingdom, the European Union, Canada, Asia Pacific, and the Middle East. It operates through three segments: Exchanges, Fixed Income and Data Services, and Mortgage Technology. The Exchanges segment operates regulated marketplace technology for the listing, trading, and clearing of an array of derivatives contracts and financial securities, such as commodities, interest rates, foreign exchange and equities, and corporate and exchange-traded funds, as well as data and connectivity services related to its exchanges and clearing houses. The Fixed Income and Data Services segment provides fixed income pricing, reference data, indices, analytics, and execution services, as well as global CDS clearing and multi-asset class data delivery technology. The Mortgage Technology segment offers a technology p…
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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.