Alex Bauer
Head of Investor Relations
Replay available
TriNet Group, Inc. (NYSE: TNET) Q1 2025 earnings conference call, held 2025-04-25. Replay captured from the company's public earnings webcast.

Head of Investor Relations
President and CEO
CFO
Analyst, Corwin
Analyst, Needham
Analyst, William Blair
Analyst, J.P. Morgan
Analyst, Stifel
Good day and welcome to the Trinet Group Inc. First Quarter 2025 Earnings Conference Call. All participants will be in listen-only mode. Should you need assistance, please signal a conference specialist by pressing the star key followed by zero. After today's presentation, there will be an opportunity to ask questions. To ask a question, you may press star then one on your telephone keypad. To withdraw your question, please press star then two. Please note that this event is being recorded. I would now like to turn the conference over to Alex Bauer, Head of Investor Relations. Please go ahead. Thank you, Operator. Good morning. My name is Alex Bauer, Trinet's Head of Investor Relations. Thank you for joining us, and welcome to Trinet's first quarter conference call. I'm joined today by our President and CEO, Mike Simons, and our CFO, Kelly Tuminelli. Before we begin, I would like to preview this morning's call. I will first pass the call to Mike, where he will comment on our first quarter performance and discuss our progress on our strategy and medium-term outlook. Kelly will then review our Q1 financial performance in greater detail. Please note that today's discussion will include our 2025 full-year financial outlook, our medium-term outlook, and other statements that are not historical in nature or predictive in nature or depend upon or refer to future events or conditions such as our expectations, estimates, predictions, strategies, beliefs, or other statements that might be considered forward-looking. These forward-looking statements are based on management's current expectations and assumptions and are inherently subject to risks, uncertainties, and changes in circumstances that are difficult to predict and that may cause actual results to differ materially fro...