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Stock Comparison · Industry comparison · Software - Application

Automatic Data Processing vs Datadog: Which Stock Looks Stronger in 2026?

Automatic Data Processing holds the cleaner structural position, with the lead spread across valuation and growth. Datadog still has the edge on growth, which keeps the comparison from looking entirely one-sided. In the market, Datadog 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. Both peer scores are relative to the S&P 500 universe, making them directly comparable.

Updated 2026-05-17

This is not just a one-metric split: both valuation and stability materially support the lead. The overall score gap is 24 points in favour of Automatic Data Processing, Inc..

INDUSTRY COMPARISON

Both operate in: Software - Application

This comparison is based on industry proximity, not on functional trajectory similarity. ADP and DDOG share the same industry classification.

For a similarity-based comparison, see how Automatic Data Processing and Datadog each position within their functional peer groups in AssetNext.

Peer-Relative Score
ADP
Automatic Data Processing, Inc.
72
Peer-Score
Signal qualitylow
Peer basis: S&P 500
vs
DDOG
Datadog, Inc.
48
Peer-Score
Signal qualitylow
Peer basis: S&P 500

Scores reflect position relative to comparable companies with similar long-term financial trajectories.

The largest gaps do not all point in the same direction.

Dimension spread: ADP vs DDOG Profitability 89 74 Stability 78 36 Valuation 78 8 Growth 28 83 ADP DDOG
Gap Ranking
#1 Valuation +70
#2 Growth +55
#3 Stability +42
#4 Profitability +15
Price Setup

Left means cheaper relative valuation. Higher means stronger structure.

Price setup map for ADP and DDOG Stronger + cheaper Stronger + richer Weaker + cheaper Weaker + richer ADPDDOG Relative valuation Structural strength

The structural gap is limited here, but current pricing still leans against Datadog, Inc..

Valuation position uses peer-relative PE percentile (idx_pct_pe) where available.

Entry today — historical context

Where ADP and DDOG each sit in their own 5-year price and valuation history.

BASED ON 5-YEAR HISTORY ADP Neutral · below norm 0th 50th 100th 61 pct gap DDOG Elevated · above norm 0th 50th 100th 38th 99th
Today ADP sits in the lower-middle of its own 5-year history (38th percentile), while DDOG sits higher in its own history (99th). Within each stock's own 5-year context, ADP is at a historically more favourable entry position than DDOG. This reflects entry timing, not which company is structurally stronger — peer-relative analysis is a separate question addressed above.

Describes historical entry positioning only. Descriptive — not investment advice.

Relative Position vs Comparable Companies
Valuation
Automatic Data Processing, Inc. ranks near the top of the group on valuation; Datadog, Inc. sits in the weaker half.
Growth
On growth, the gap still runs the same way: Datadog, Inc. sits near the top of the group, while Automatic Data Processing, Inc. remains in the weaker half.
Valuation — Dominant Gap
ADP
78
DDOG
8
Gap+70in favour of ADP

The multiple-based pricing edge comes from a forward P/E that is 55 turns lower.

What keeps the gap from being one-sided

Datadog still pushes back on growth, with a 25-point revenue-growth advantage that keeps the read from becoming one-way.

What this means for the comparison

Valuation settles the comparison, while pricing and growth keep the broader setup from looking fully aligned.

Explore full peer positioning in AssetNext

Break down the ADP vs DDOG comparison across all dimensions with the full interactive tool.

Explore full breakdown →
Other comparisons with conflicting dimension signals

Explore how ADP and DDOG 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.

How AssetNext Peer Scores Work

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.