Automatic Data Processing, Inc.

Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. It operates in two segments, Employer Services and Professional Employer Organization (PEO). The Employer Services segment offers strategic, cloud-based platforms, and human resources (HR) outsourcing solutions. Its offerings include payroll, benefits administration, talent management, HR management, workforce management, insurance, retirement, and compliance services, as well as integrated HCM solutions. The PEO Services segment provides HR outsourcing solutions to small and mid-sized businesses through a co-employment model. This segment offers benefits package, protection and compliance, talent engagement, expertise, comprehensive outsourcing, and recruitment process outsourcing services. The company was founded in 1949 and is headquartered in Roseland, New Jersey.

Automatic Data Processing, Inc. trades as ADP on NASDAQ. The company is classified in Industrials / Staffing & Employment Services and reports in USD.

The current profile places the business in Staffing & Employment Services. This section is intended to summarize the operating segments, products, geographies, and main revenue lines from official filings.

Latest available fiscal data shows $20.56B of revenue and $4.08B of net income.

Use this area for management strategy, capital allocation priorities, target markets, and measurable goals from the latest annual report or investor presentation.

The app now provides the structure, but exact strategic claims should come from official company documents before being treated as a finished investment thesis.

Automatic Data Processing, Inc. can be compared against peers such as Deere & Company, General Dynamics Corporation, Honeywell International Inc., Lockheed Martin Corporation, 3M Company, Northrop Grumman Corporation.

A complete thesis should compare growth, margins, balance-sheet risk, valuation multiples, and market position against direct competitors.

Current signals to investigate include market capitalization of $92.72B, beta of 0.84, and return on equity of +65.9%.

This section should be validated with evidence such as durable margins, brand strength, regulation, switching costs, cost advantage, distribution, or technology.

Key risks should include financial leverage, cyclicality, customer concentration, regulatory exposure, currency risk, and execution risk.

ADP currently shows total debt of $9.07B and beta of 0.84. Missing data should be treated as a research gap, not as low risk.

Production-capacity detail is not available as structured data yet. For industrial, defense, semiconductor, or real-estate companies, this should be reviewed from annual reports and investor presentations.

No structured backlog field is available yet. If the company reports backlog, review the relevant filing section before adding it to the thesis.

Use this section for major contracts, product launches, construction projects, acquisitions, or strategic programs that can materially affect valuation.

Recent filings to review: 4 (2026-05-11 00:00:00), 4 (2026-05-11 00:00:00), 8-K (2026-05-07 00:00:00), 424B2 (2026-05-05 00:00:00).

Customer concentration is not available as structured data here. Add it from official filings when a company discloses material customers or revenue concentration.

Supplier concentration and critical supply-chain dependencies are not available as structured data here. This should be researched from annual reports and risk disclosures.

Company website: https://www.adp.com

For US-listed stocks, verify the thesis against official filings, earnings call transcripts, and company investor relations materials.