Georg Fischer holds the cleaner structural position, with the lead spread across profitability and growth. Darling Ingredients still has the edge on growth, which keeps the comparison from looking entirely one-sided. In the market, Darling Ingredients carries the stronger setup — intact trend against Georg Fischer's broken trend. 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. Peer scores are normalised within each company's primary universe (DAR: Russell 1000, GF.SW: STOXX 600).
The clearest score difference appears in profitability. Georg Fischer AG leads by 22 points on the overall comparison score.
These two companies are linked by measured long-term financial trajectory similarity within the selected peer universe.
This level of similarity signals a strong structural match, even though some dimensions still separate the two companies.
Most of the shared profile comes through margin consistency and capital structure.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
The largest gaps do not all point in the same direction.
Left means cheaper relative valuation. Higher means stronger structure.
The setup stays mixed because structure and the price setup do not align cleanly in one direction.
Valuation position uses peer-relative PE percentile (idx_pct_pe) and Forward P/E where available.
Where DAR and GF.SW each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
The clearest distance comes from a stronger profitability profile.
Growth still leans toward Darling Ingredients Inc., so the lead is real without reading as one-way.
The profitability edge is decisive, even though current pricing and growth still lean somewhat toward Darling Ingredients Inc..
Break down the DAR vs GF.SW comparison across all dimensions with the full interactive tool.
Explore how DAR 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.
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.