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Keller Group (KLR) Fair Value & Analysis

Industrials · GB · Market cap 1.6B GBX

Pricep25.94
Fair Valuep43.65
Upside+68.3%
Quality95/100
Evidence: High Range p27.21 – p54.56

Analysis

Keller Group (KLR) currently trades at p25.94, while our model-based Fair Value estimate is p43.65 — implying the stock looks roughly 68.3% 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

Keller Group plc provides specialist geotechnical services in North America, Europe, the Middle East, and the Asia-Pacific. The company offers ground engineering solutions, including ground improvement services, grouting, deep foundations, earth retention, marine, and instrumentation and monitoring services, as well as post-tension systems and industrial services. It also provides bearing capacity/ settlement control, low carbon construction, containment, excavation support, stabilization, marine structures, seepage control, slope stabilization, and monitoring solutions. In addition, it provides environmental remediation and demolition. The company provides its services to the construction sector in commercial, industrial, infrastructure, institutional/public buildings, power, and residential markets. Keller Group plc was founded in 1860 and is headquartered in London, 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.