Wagners Holding (WGN) Fair Value & Analysis
Basic Materials · AU · Market cap A$863M
Analysis
Wagners Holding (WGN) currently trades at A$4.82, while our model-based Fair Value estimate is A$2.32 — implying the stock looks roughly 51.9% 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
Wagners Holding Company Limited engages in the production and sale of construction materials and related building materials in Australia, the United States, New Zealand, the United Kingdom, Papua New Guinea, and Malaysia. It operates through four segments: Construction Materials (CM), Project Services (Projects), Composite Fibre Technology (CFT), and Earth Friendly Concrete (EFC). The CF segment provides cement, flyash, ready-mix concrete, precast concrete products, aggregates, and reinforcing steel, as well as mobile concrete, crushing, and haulage services through medium to long-term contracts. This segment serves customers in the construction, infrastructure, and resources industries. The Projects segment supplies a range of project services. The CFT segment offers new generation building materials and CFT. The company EFC segment provides new generation building material and EFC technology. The company offers other ancillary services. Wagners Holding Company Limited was founded …
Open the full interactive analysis →
Similar stocks
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.