Autotrader leads structurally, with valuation as the clearest single gap between the two profiles. In the market, KLA carries the stronger setup — intact trend against Autotrader's broken trend. That leaves a split case: the structural lead stays with Autotrader, but the market is not currently confirming it.
The comparison is based on similar long-term financial trajectories, not sector labels. Peer scores are normalised within each company's primary universe (AUTO.L: STOXX 600, KLAC: Nasdaq 100).
The comparison is mainly decided in valuation, with the rest of the profile carrying less weight. Autotrader Group plc leads by 10 points on the overall comparison score.
This pair is matched through long-term financial trajectory similarity within the selected peer universe.
A solid similarity means the pair shares a clearly comparable long-term financial profile, even if individual dimensions still differ.
The clearest structural overlap shows up in capital structure and margin trend.
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.
Structure stays fairly close here, while current pricing still looks more supportive for Autotrader Group plc.
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 18.7 turns lower.
On the market side, KLA carries the stronger trend while Autotrader's trend has broken — the market setup does not confirm the structural advantage.
Valuation clearly separates the pair, while the broader read stays strong rather than one-way.
Break down the AUTO.L vs KLAC comparison across all dimensions with the full interactive tool.
Explore how AUTO.L 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.
Because scores are peer-relative, the same company can have slightly different scores in different index universes. On comparison pages, both companies are shown within their shared peer universe wherever possible — so the scores are directly comparable. The peer basis is stated on each score card.
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.