KBR, Inc (KBR) Fair Value & Analysis
Industrials · US · Market cap $4.6B
Analysis
KBR, Inc (KBR) currently trades at $33.20, while our model-based Fair Value estimate is $41.74 — implying the stock looks roughly 25.7% 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
KBR, Inc. provides scientific, technology, and engineering solutions to governments and commercial customers worldwide. The company operates through Government Solutions and Sustainable Technology Solutions segments. It offers research and development, advanced prototyping, acquisition support, systems engineering, cyber analytics, space domain awareness, test and evaluation, data analytics and integration, systems integration and program management, global supply chain management, operations readiness and support, and professional advisory services, as well as command, control, communications, computers, intelligence, surveillance, and reconnaissance services to defense, intelligence, space, aviation, and other programs and missions for military and other government agencies. The company also operates portfolio of various proprietary process technologies for ammonia/syngas, chemical/petrochemicals, clean refining, and circular process/circular economy solutions. In addition, it pro…
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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.