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Transcript: Automatic Data Processing (ADP) Q1 2027 Earnings Call

Automatic Data Processing (ADP) reported strong first quarter fiscal 2027 results, with 6% revenue growth, 130 basis points of adjusted EBIT margin expansion and 13% adjusted EPS growth, all ahead of expectations. On the earnings call, CEO Maria Black and CFO Peter Hadley discussed ADP Assist, ADP Lyric HCM’s European expansion, the new PNC Payroll by ADP partnership, and a raised full-year outlook for revenue, client funds interest and adjusted EPS. Read the full transcript of ADP Q1 2027 earnings call below:

Introduction

OPERATOR: Good morning. My name is Michelle, and I’ll be your conference operator.

At this time, I would like to welcome everyone to ADP’s first quarter fiscal 2027 earnings call.

I would like to inform you that this conference is being recorded. After the prepared remarks, we will conduct the question and answer session. Instructions will be given at that time. I’ll now turn the conference over to Matt Keating, Vice President, Investor Relations. Please go ahead.

MATT KEATING, Vice President, Investor Relations – ADP: Thank you, Michelle, and welcome everyone to ADP’s first quarter fiscal 2027 earnings call.

Participating today are Maria Black, our President and CEO, and Peter Hadley, our CFO. Earlier this morning, we released our results for the quarter. Our earnings materials are available on the SEC’s website and our investor relations website at investors.adp.com, where you also find the investor presentation that accompanies today’s call.

During our call, we will reference non-GAAP financial measures, which we believe to be useful to investors and that exclude the impact of certain items. A description of these items along with a reconciliation of non-GAAP measures to their most comparable GAAP measures is available on our website at Comparable GAAP measures can be found in our earnings release.

Today’s call will also contain forward-looking statements that refer to future events and involve some risk. We encourage you to review our filings with the SEC for additional information on factors that could cause actual results to differ materially from our current expectations. I’ll now turn it over to Maria.

CEO Prepared Remarks

MARIA BLACK, President and CEO – ADP: Thank you, Matt. This morning, we reported strong first quarter results with revenue growth adjusted EBIT margin expansion and adjusted EPS growth all exceeding our expectations.

These results reflect the critical role of ADP in an evolving world of work.

Employers today are redesigning how work gets done. They are navigating a wave of AI-related change and making workforce decisions that carry real consequences for real people. What has not changed, however, is what they need from ADP, a trusted partner.

For the last few quarters, I’ve spoken about the 5 structural advantages that make us purpose-built for this challenge. These advantages are core to our strategic priorities and serve as key differentiators for how we will continue to win in the market. Going forward, I will share our updates tied to these longstanding structural advantages.

First is our industry-leading data. We know that AI is only as good as the data it’s trained on. With 1.1 million clients supporting over 42 million workers across roles, industries, and geographies, we have one of the largest sources of real-time workforce data in the world, providing unparalleled insights into the workforce and its emerging trends.

This unique perspective means we have a new responsibility in the AI era—not only to design HR and payroll solutions for people, but to help design the best possible future of work with people at the center. We are also using our data to fuel best-in-class innovation. Our massive global workforce data platform and decades of expertise have been optimized into an intelligence foundation that powers our AI capabilities at scale with security, privacy, and compliance built in from the ground up.

AI, ADP Assist and API Central

Bringing me to our next structural advantage, our brand trust and responsible approach to AI. ADP is actively building across the full lifecycle of AI and HCM from AI that assists people with tasks, to AI that facilitates an entire function end-to-end with human oversight, to AI that orchestrates work across domains and systems to support enterprise transformation. ADP is advancing and embedding each AI use case in our products and in how our teams operate.

A perfect example of this is ADP Assist, which has crossed from early adoption into broad use, becoming more deeply embedded into workflows and driving measurable impact. Since the 4th quarter alone, we have added 100,000 more clients on ADP Assist. Most importantly, that scale is translating into real outcomes.

The recently launched Recruiting AI Interviewer agent in ADP Lyric runs call handling, scheduling, and note-taking so recruiters can stay focused on their strongest candidates. More than 4,400 AI interviews have been completed since the start of September, with a 75% reduction in interview-related time spent, and more than half of those interviews were captured after hours, ensuring businesses don’t miss out on strong candidates regardless of when they apply. Candidates themselves are responding well, with the recruiting agent earning high satisfaction scores.

We are also offering new tools that enable our clients to build secure, intelligent, and integrated workflows with their preferred AI agents. We’ve made a significant expansion to ADP API Central, which allows our clients’ developers to access new Model Context Protocol, or MCP, servers and AI tools in addition to standard-based APIs.

This enhanced offering addresses a growing challenge for organizations adopting AI, connecting AI agents and applications to trusted workforce data securely and at scale through API. With API Central, developers and business teams can now connect workforce data to AI experiences that employees and managers use every day, enabling organizations to work in a more connected manner, innovate faster, and act more efficiently with less risk.

These examples are evidence of how AI is removing friction from the most consequential moments in the payroll and HR cycle while enhancing rather than replacing the role that people play.

Trusted Service Model and Global Scale

Our third structural advantage is our trusted service model.