Van Elle Holdings (VANL) Fair Value & Analysis
Industrials · GB · Market cap 57.7M GBX
Fair value as of: Jun 24, 2026
Analysis
Van Elle Holdings (VANL) currently trades at p0.5200, while our model-based Fair Value estimate is p0.4100 — implying the stock looks roughly 21.2% overvalued today. We read business quality at 95/100 (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
Van Elle Holdings plc, together with its subsidiaries, operates as a geotechnical and ground engineering contractor in the United Kingdom. It operates through General Piling, Specialist Piling and Rail, and Ground Engineering Services segments. The company offers ground investigation solutions, including cable percussion drilling, dynamic sampling and probing, rotary and rotary sonic drilling, laboratory testing, and engineering data and reporting; pile testing, such as static load, dynamic, pile integrity testing, thermal integrity profiling, and noise and vibration monitoring services; geotechnical engineering solutions, including compaction, and drilling and bulk infill grouting; and slope stabilization solutions comprising retaining structures, ground anchors, soil nails, and rock bolts and netting solutions. It also provides ground improvement solutions, such as vibro stone columns, and rigid inclusions; retaining structures, including contiguous, secant piled, king post walls,…
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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.