KLA holds the cleaner structural position, with valuation as the main driver and growth adding further support. BE Semiconductor Industries still has the edge on growth, which keeps the comparison from looking entirely one-sided. The market setup is broadly comparable for both — no clear directional signal from price behavior. The market is not adding a decisive signal either way — the structural read carries the weight.
The comparison is based on similar long-term financial trajectories, not sector labels.
Valuation still does most of the heavy lifting in this comparison. The overall score gap is 12 points in favour of KLA Corporation.
Both operate in: Semiconductor Equipment & Materials
This comparison is based on industry proximity, not on functional trajectory similarity. BESI.AS and KLAC share the same industry classification.
For a similarity-based comparison, see how BESI.AS and KLA each position within their functional peer groups in AssetNext.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
Pricing shapes this comparison more than a broad operating gap.
Left means cheaper relative valuation. Higher means stronger structure.
KLA Corporation and BE Semiconductor Industries N.V. look relatively close on structure, but the price setup still leans toward KLA Corporation.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
The multiple-based pricing edge comes from a forward P/E that is 5.7 turns lower.
KLA Corporation also shows lower market-fundamental divergence, which makes the lead look less detached from the underlying business picture.
Valuation settles the comparison, while pricing and growth keep the broader setup from looking fully aligned.
Break down the BESI.AS vs KLAC comparison across all dimensions with the full interactive tool.
Explore how BESI.AS and KLAC each compare against other companies in their peer groups.
Rule-based, descriptive analysis only. Derived from peer percentile dimensions. Not investment advice. Peer groups are determined algorithmically based on structural similarity — not by sector classification alone.
AssetNext scores reflect each company's structural position within its functional peer group — not a ranking against all stocks simultaneously. Peers are identified by similarity across eight financial dimensions, including revenue growth trajectory, margin structure, capital intensity, and earnings stability. A score of 75 means the company ranks in the top quartile within its own peer group, not the entire market.
Four dimension scores drive the overall peer score: Growth (revenue trajectory and expansion dynamics), Quality (margin structure and capital efficiency), Valuation (peer-relative pricing on standard multiples), and Stability (earnings consistency and financial predictability). Each dimension is scored 0–100 relative to the peer group, then combined into an overall peer score using equal weighting.
Scores are recalculated periodically as underlying financial data is updated. All analysis is descriptive and rule-based — AssetNext describes structural realities and never issues buy, sell or hold recommendations.