Automatic Data Processing holds the cleaner structural position, with the lead spread across profitability and stability. TransUnion 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 Russell 1000 universe, making them directly comparable.
The lead is spread across profitability and stability, rather than sitting in one isolated gap. Automatic Data Processing, Inc. leads by 20 points on the overall comparison score.
This comparison is anchored in long-term financial trajectory similarity within the selected peer universe.
The pair still fits the compare framework, though the long-term structural overlap is relatively light.
The match is driven mainly by margin consistency and revenue stability.
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 Automatic Data Processing, Inc., even though current pricing leans the other way.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where ADP and TRU each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
Capital efficiency adds support, with a 59-point ROIC advantage.
Earnings growth also leans toward TRU, which keeps the score lead from reading as a full growth sweep.
The lead is built on both profitability and stability — though growth still provides a counterweight.
Break down the ADP vs TRU comparison across all dimensions with the full interactive tool.
Explore how ADP and TRU 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.