Georg Fischer holds the cleaner structural position, with the lead spread across valuation and profitability. Croda International still leads on growth and stability, which keeps the comparison from looking entirely one-sided. The market setup is currently leaning toward Croda International, which does not confirm the structural lead. That leaves a split case: the structural lead stays with Georg Fischer, but the market is not currently confirming it.
The comparison is based on similar long-term financial trajectories, not sector labels.
This is not just a one-metric split: both valuation and profitability materially support the lead. The overall score gap is 15 points in favour of Georg Fischer AG.
This pair is matched through long-term financial trajectory similarity within the selected peer universe.
The pair sits on a clearly comparable long-term path, though it is not a near-twin match.
The match is driven mainly by revenue growth trajectory and margin consistency.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
Score differences across key dimensions.
Left means cheaper relative valuation. Higher means stronger structure.
Georg Fischer AG and Croda International Plc look relatively close on structure, but the price setup still leans toward Georg Fischer AG.
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 2.9 turns lower.
Growth still tilts materially toward Croda International Plc, which stops the result from looking dominant across the whole profile.
The lead is built on both valuation and profitability — though growth still provides a counterweight.
Break down the CRDA.L vs GF.SW comparison across all dimensions with the full interactive tool.
Explore how CRDA.L and GF.SW 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.