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QinetiQ Group (QNTQF) Fair Value & Analysis

Industrials · US · Market cap $3.3B

Price$5.79
Fair Value$6.16
Upside+6.4%
Quality97/100
Evidence: High Range $4.34 – $7.98

Analysis

QinetiQ Group (QNTQF) currently trades at $5.79, while our model-based Fair Value estimate is $6.16 — implying the stock looks roughly 6.4% undervalued today. We read business quality at 97/100 (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

QinetiQ Group plc provides science and technology solution in the defense, security, and infrastructure markets in the United States, Australia, Canada, and Germany. The company operates through four segments: Test and Training; Mission Support and Operations; Research and Development; and Engineering Services. It offers test and evaluation, training and simulation, mission rehearsal, and threat representation; cyber and intelligence capabilities, mission data, and persistent surveillance. The company also provides advanced materials, AI and Analytics, autonomous systems, cyber and electromagnetic spectrum, directed energy systems, human factors integration, immersive technology, navigation and communication systems, quantum technology, secure communication solutions, and sensing and processing systems. It serves ministry of defense, government agencies, department of defense and commercial sectors. QinetiQ Group plc was founded in 2001 and is based in Farnborough, the United Kingdom.

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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.