3i Infrastructure plc (3IN) Fair Value & Analysis
Financial Services · GB · Market cap 3.4B GBX
Analysis
3i Infrastructure plc (3IN) currently trades at p3.70, while our model-based Fair Value estimate is p5.44 — implying the stock looks roughly 47.2% undervalued today. We read business quality at 97/100 (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
3i Infrastructure plc is an investment firm specializing in infrastructure investments. The firm invests in early stage assets, mature assets, middle markets, mid venture, acquisitions, and projects and privatizations undergoing a period of operational ramp-up. It may invest in junior or mezzanine debt in infrastructure businesses or assets. The firm primarily invests in core infrastructure companies and assets with a focus on the utilities, transportation, energies, social infrastructure and adjacent sectors; primary PPP with a focus on greenfield projects in education, transport, healthcare; public sector accommodation sectors and low-risk energy projects with a focus on wind, solar, offshore transmission in developed markets; and mid-market economic infrastructure with a focus on low-risk energy projects. It primarily invests in unquoted companies, but may also invest in listed companies. The firm seeks to invest across the world, but with an initial focus on Europe, North Americ…
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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.