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Aecon Group (AEGXF) Fair Value & Analysis

Industrials · US · Market cap $2.1B

Price$31.37
Fair Value$4.06
Upside-87.1%
Quality95/100
Evidence: High Range $2.45 – $5.78

Analysis

Aecon Group (AEGXF) currently trades at $31.37, while our model-based Fair Value estimate is $4.06 — implying the stock looks roughly 87.1% overvalued today. We read business quality at 95/100 (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

Aecon Group Inc., together with its subsidiaries, provide construction and infrastructure development services to private and public sector clients in Canada, the United States, and internationally. It operates through two segments, Construction and Concessions. The Construction segment focuses on civil infrastructure, urban transportation solutions, nuclear power infrastructure, utility infrastructure, and industrial infrastructure market sectors. The Concessions segment engages in the development, financing, building, and operation of construction projects by way of public-private partnership contract structures. This segment also provides development of domestic international public-private partnership; private finance solution; developing strategic partnerships; leading and/or participating in development teams; and operations and maintenance of infrastructure assets services. Aecon Group Inc. was formerly known as Prefac Concrete Co. Ltd. and changed its name to Aecon Group Inc…

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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.