Automatic Data Processing holds the cleaner structural position, with the lead spread across profitability and valuation. Teledyne Technologies does not offset that deficit through any equally strong structural edge elsewhere. In the market, Teledyne Technologies carries the stronger setup — intact trend against Automatic Data Processing's broken trend. That leaves a split case: the structural lead stays with Automatic Data Processing, but the market is not currently confirming it.
The comparison is based on similar long-term financial trajectories, not sector labels.
This is not just a one-metric split: both profitability and valuation materially support the lead. The overall score gap is 33 points in favour of Automatic Data Processing, Inc..
This pair is matched through long-term financial trajectory similarity within the selected peer universe.
The pair sits on a clearly comparable long-term path, though it is not a near-twin match.
The clearest structural overlap shows up in investment intensity and margin consistency.
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.
Automatic Data Processing, Inc. looks stronger both structurally and on relative valuation.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Capital efficiency adds support, with a 45-point ROIC advantage.
On the market side, Teledyne Technologies carries the stronger trend while Automatic Data Processing's trend has broken — the market setup does not confirm the structural advantage.
The lead is built on both profitability and valuation, making it broader than a single-dimension result.
Break down the ADP vs TDY comparison across all dimensions with the full interactive tool.
Explore how ADP and TDY 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.
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.