Babcock International Group (BAB) Fair Value & Analysis
Industrials · GB · Market cap 5.1B GBX
Fair value as of: Jun 24, 2026
Analysis
Babcock International Group (BAB) currently trades at p10.05, while our model-based Fair Value estimate is p9.36 — implying the stock looks roughly 6.8% overvalued today. We read business quality at 94/100 (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
Babcock International Group PLC, together with its subsidiaries, engages in the design, development, manufacture, and integration of specialist systems for aerospace, defense, and security in the United Kingdom, rest of Europe, Africa, North America, Australasia, and internationally. It operates through four segments: Marine, Nuclear, Land, and Aviation. The company offers type 31 frigates, project lurcher, jackal contract, ground deployed advanced mortar system, general logistics vehicle, Babcock's LGE, and armored land cruiser 300. It also provides weapons handling systems, autonomous and uncrewed aerial systems, and engineering and systems integration. In addition, the company is involved in the design, integration, and through-life support of various connected combat, support, and surveillance vehicles; integration of long-range fires and C4ISTAR systems; provision of system engineering and general vehicle architecture services; and specialist vehicle conversions. Further, it pr…
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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.