The structural profiles are close, with Eurofins Scientific SE carrying a narrow edge on growth. Clean Harbors still has the edge on stability, 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. Peer scores are normalised within each company's primary universe (CLH: Russell 1000, ERF.PA: STOXX 600).
The lead runs through growth, while stability still acts as a real counterweight on the other side.
These two companies are linked by measured 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 margin consistency and revenue stability.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
The clearest separation appears in growth.
Left means cheaper relative valuation. Higher means stronger structure.
The setup remains mixed because the stronger profile and the more supportive price setup do not sit on the same side.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where CLH and ERF.PA each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
The main growth separation is clear, driven by a meaningfully stronger expansion profile.
Stability still tilts materially toward Clean Harbors, Inc., which stops the result from looking dominant across the whole profile.
Growth is the clearest driver of the lead, with stability adding further support — though stability still provides a real counterweight.
Break down the CLH vs ERF.PA comparison across all dimensions with the full interactive tool.
Explore how CLH and ERF.PA 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.