freenet holds the cleaner structural position, with the lead spread across growth and stability. SCOR SE does not offset that deficit through any equally strong structural edge elsewhere. The market setup is currently leaning toward SCOR SE, which does not confirm the structural lead. That leaves a split case: the structural lead stays with freenet, but the market is not currently confirming it.
The comparison is based on similar long-term financial trajectories, not sector labels. Both peer scores are relative to the STOXX 600 universe, making them directly comparable.
The clearest separation starts in growth, but stability adds another real layer to the result. freenet AG leads by 18 points on the overall comparison score.
This comparison is anchored in long-term financial trajectory similarity within the selected peer universe.
The pair shares a valid long-term profile match, but the trajectories are not especially close.
Most of the shared profile comes through investment intensity and revenue growth trajectory.
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.
Structure clearly favours freenet AG, even though current pricing leans the other way.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where FNTN.DE and SCR.PA each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
One company is still expanding while the other is contracting, which creates a very wide growth split.
SCOR SE still shows lower market-fundamental divergence, which keeps the wider picture mixed rather than completely one-sided.
The lead is built on both growth and stability, making it broader than a single-dimension result.
Break down the FNTN.DE vs SCR.PA comparison across all dimensions with the full interactive tool.
Explore how FNTN.DE and SCR.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.