Kingspan Group (KGSPF) Fair Value & Analysis
Industrials · US · Market cap $17.9B
Fair value as of: Jun 24, 2026
Analysis
Kingspan Group (KGSPF) currently trades at $93.77, while our model-based Fair Value estimate is $81.29 — implying the stock looks roughly 13.3% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Kingspan Group plc, together with its subsidiaries, provides insulation and building envelope solutions in Western and Southern Europe, Central and Northern Europe, the Americas, and internationally. It operates through two segments: Insulated Building Envelopes, and Advnsys. The Insulated Building Envelopes segment provides advanced energy-saving solutions for roofs, walls, and floors, delivering building solutions for energy efficiency in both new build and renovation applications across all building types. The Advnsys segment designs and manufactures bespoke critical infrastructure solutions, primarily focused on data centres, ventilation, and daylighting, offering high-performance systems that deliver energy efficient lighting, airflow, cooling, and ventilation for both new build and renovation projects in data centres and commercial buildings. The company offers a comprehensive suite of products, including insulated panels, insulation boards, roofing and waterproofing solutions…
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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.