Antin Infrastructure Partners S.A (ANTIN) Fair Value & Analysis
Financial Services · FR · Market cap €1.8B
Fair value as of: Jun 25, 2026
Analysis
Antin Infrastructure Partners S.A (ANTIN) currently trades at €9.02, while our model-based Fair Value estimate is €3.74 — implying the stock looks roughly 58.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Antin Infrastructure Partners S.A. is a private equity firm specializing in infrastructure investments. The firm does not invest in projects which involve technological or commercial risk associated with developing a clientele in a competitive market or invest alongside partners which could represent counterparty risk. It seeks to invest in main infrastructure sectors including transportation, energy, digital, social infrastructure, environment, and telecommunication. The firm focuses on toll roads, tunnels, highways, tramways, bridges; airports; ports; urban rail, bus lines; car parks in transport; Motorway Service Areas (MSAs); gas storage; LNG terminals; transmission (pipelines, high-voltage electricity transmission); distribution; buildings and public works, generation (non-merchant); water infrastructure (pipelines & sewage units); waste management in energy and environment; and GSM towers; ADSL networks; broadcast networks; cable networks; and satellites in Telecommunication. …
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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.