Automatic Data Processing holds the cleaner structural position, with the lead spread across profitability and growth. SS&C Technologies does not offset that deficit through any equally strong structural edge elsewhere. 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.
The clearest separation starts in profitability, but growth adds another real layer to the result. The overall score gap is 23 points in favour of Automatic Data Processing, Inc..
Both operate in: Software - Application
This comparison is based on industry proximity, not on functional trajectory similarity. ADP and SSNC share the same industry classification.
For a similarity-based comparison, see how Automatic Data Processing and SS&C Technologies each position within their functional peer groups in AssetNext.
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 on relative valuation, while the broader price setup remains mixed.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Capital efficiency adds support, with a 44-point ROIC advantage.
SS&C Technologies Holdings, Inc. still shows lower market-fundamental divergence, which keeps the wider picture mixed rather than completely one-sided.
The lead is built on both profitability and growth, making it broader than a single-dimension result.
Break down the ADP vs SSNC comparison across all dimensions with the full interactive tool.
Explore how ADP and SSNC 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.