The structural profiles are close, with Verisk Analytics carrying a narrow edge on profitability. Thomson Reuters still leads on growth and valuation, which keeps the comparison from looking entirely one-sided. Both sides have seen trend damage — neither carries a clear market edge right now. With both trends damaged, the structural comparison carries most of the weight here.
The comparison is based on similar long-term financial trajectories, not sector labels. Both peer scores are relative to the Nasdaq 100 universe, making them directly comparable.
Most of the visible separation comes from profitability.
This pair is matched through long-term financial trajectory similarity within the selected peer universe.
This level of similarity points to a meaningful structural match, though not a tight one.
Most of the shared profile comes through revenue stability 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 remains mixed because the stronger profile and the more supportive price setup do not sit on the same side.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where TRI and VRSK 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 14.7-point operating margin advantage.
A meaningful counterforce remains in growth, which keeps the comparison from looking completely one-sided.
The main read on profitability is clearer than the broader score gap.
Break down the TRI vs VRSK comparison across all dimensions with the full interactive tool.
Explore how TRI and VRSK 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.