North American Construction Group (NOA) Fair Value & Analysis
Energy · US · Market cap $366M
Fair value as of: Jun 24, 2026
Analysis
North American Construction Group (NOA) currently trades at $13.50, while our model-based Fair Value estimate is $13.79 — implying the stock looks roughly 2.1% undervalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
North American Construction Group Ltd. provides mining and heavy civil construction services to customers in the resource development and industrial construction sectors in Australia, Canada, and the United States. It operates through Heavy Equipment - Canada, Heavy Equipment - Australia, and Other segments. The company offers mine management services for a thermal coal mine; and construction and operations support services in Canadian oil sands region. It also provides fully maintained heavy equipment rentals at metallurgical and thermal coal mines; heavy equipment rentals to iron ore, gold and lithium producers; and heavy equipment maintenance, component remanufacturing, and full equipment rebuild services to mining companies and other heavy equipment operators, as well as supplies production-critical components to the mining and construction industry. The company was formerly known as North American Energy Partners Inc. and changed its name to North American Construction Group Lt…
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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.