Balfour Beatty plc (BLFBY) Fair Value & Analysis
Industrials · US · Market cap $5.6B
Analysis
Balfour Beatty plc (BLFBY) currently trades at $22.14, while our model-based Fair Value estimate is $27.64 — implying the stock looks roughly 24.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Balfour Beatty plc finances, develops, builds, maintains, and operates infrastructure in the United Kingdom, the United States, and internationally. It operates through three segments: Construction Services, Support Services, Infrastructure Investments. The company constructs buildings, including commercial, healthcare, education, retail, and residential assets; and infrastructure assets comprising highways and railways, as well as other large-scale infrastructure assets, such as waste, water, and energy plants. It also offers a range of services, including design and/or build, mechanical and electrical engineering, shell and core and/or fit-out, and interior refurbishment; support services to various utility assets comprising servicing of power transmission and distribution assets, as well as construction and maintenance of electricity networks, including replacement or new build of overhead lines, underground cabling, cable tunnels, and offshore wind farm maintenance; and maintena…
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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.