Foresight Group (FSG) Fair Value & Analysis
Financial Services · GB · Market cap 497M GBX
Analysis
Foresight Group (FSG) currently trades at p4.15, while our model-based Fair Value estimate is p1.07 — implying the stock looks roughly 74.2% 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
Foresight Group Holdings Limited operates as an infrastructure and private equity manager in the United Kingdom, Italy, Luxembourg, Ireland, Spain, and Australia. It operates through Infrastructure, Private Equity, venture capital and Foresight Capital Management segments. It specializes in early venture and emerging growth investments. The firm prefers to invest through growth capital and buyouts. The company involved in the provision of the management of infrastructure assets, private equity investments, and open-ended investment companies for institutional and retail investors. It also manages infrastructure assets with a focus on renewable energy generation, renewable energy enabling projects, and energy management solutions, as well as social infrastructure, transport businesses, and digital infrastructure and natural capital. In addition, it provides equity and credit to a range of sectors and development stages; and access to real assets and sustainable investment opportuniti…
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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.