The structural profiles are close, with Automatic Data Processing carrying a narrow edge on stability. Adobe 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 S&P 500 universe, making them directly comparable.
Most of the separation is still concentrated in stability.
Both operate in: Software - Application
This comparison is based on industry proximity, not on functional trajectory similarity. ADBE and ADP share the same industry classification.
For a similarity-based comparison, see how Adobe and Automatic Data Processing each position within their functional peer groups in AssetNext.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
The clearest separation appears in stability.
Left means cheaper relative valuation. Higher means stronger structure.
The price setup looks more supportive for Automatic Data Processing, Inc., but Adobe Inc. still has the stronger structure.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
Where ADBE and ADP each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
The clearest distance comes from a steadier profile over time.
Absolute pricing still looks more supportive for Adobe, with a forward P/E that is 10.8 turns lower there.
The main read on stability is clearer than the broader score gap.
Break down the ADBE vs ADP comparison across all dimensions with the full interactive tool.
Explore how ADBE and ADP 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.