Allreal holds the cleaner structural position, with valuation as the main driver and profitability adding further support. 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. Both peer scores are relative to the STOXX 600 universe, making them directly comparable.
Most of the lead runs through valuation, while profitability helps make the separation broader. Allreal Holding AG leads by 13 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.
The clearest structural overlap shows up in revenue growth trajectory and investment intensity.
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 stays fairly close here, while current pricing still looks more supportive for Allreal Holding AG.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where ALLN.SW and SPSN.SW each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
The multiple-based pricing edge comes from a forward P/E that is 5.8 turns lower.
Profitability adds another layer of support rather than leaving the result tied to valuation alone.
Valuation is the clearest driver, and profitability also supports Allreal Holding AG's broader structural position.
Break down the ALLN.SW vs SPSN.SW comparison across all dimensions with the full interactive tool.
Explore how ALLN.SW and SPSN.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.