Automatic Data Processing holds the cleaner structural position, with the lead spread across stability and profitability. TeamViewer SE 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.
This is not just a one-metric split: both stability and profitability materially support the lead. The overall score gap is 25 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 TMV.DE share the same industry classification.
For a similarity-based comparison, see how Automatic Data Processing and TeamViewer SE each position within their functional peer groups in AssetNext.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
Score differences across key dimensions.
Left means cheaper relative valuation. Higher means stronger structure.
Automatic Data Processing, Inc. holds the stronger structural profile, but the price setup still leans toward TeamViewer SE.
Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.
The stability gap is very wide, with the stronger side looking materially steadier through time.
Capital efficiency adds support, with a 40-point ROIC advantage.
The lead is built on both stability and profitability, making it broader than a single-dimension result.
Break down the ADP vs TMV.DE comparison across all dimensions with the full interactive tool.
Explore how ADP and TMV.DE 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.