Structurally, Illumina and SCOR SE are closely matched — neither holds a meaningful edge overall. SCOR SE still leads on valuation and stability, which keeps the comparison from looking entirely one-sided. The market setup is mixed, without a decisive signal in either direction. 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 (ILMN: Russell 1000, SCR.PA: STOXX 600).
The page question resolves more clearly through profitability, even though the overall score is effectively tied.
These two companies are linked by measured 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.
The strongest overlap appears in revenue stability and margin trend.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
The clearest separation appears in profitability.
Left means cheaper relative valuation. Higher means stronger structure.
Structure stays fairly close here, while current pricing still looks more supportive for SCOR SE.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where ILMN and SCR.PA each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
The profitability lead is mainly driven by a 6.8-point operating margin advantage.
Absolute pricing still looks more supportive for SCOR SE, with a forward P/E that is 25 turns lower there.
Profitability provides the clearer read here, while the broader score remains level.
Break down the ILMN vs SCR.PA comparison across all dimensions with the full interactive tool.
Explore how ILMN 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.