LivePerson, Inc.
NASDAQ Global SelectCapital Structure
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in mil. unless spec.Working Capital
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in mil. unless spec.Growth Rates
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in mil. unless spec.Quarterly Revenue
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in mil. unless spec.Quarterly Earnings Per Share
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in mil. unless spec.Quarterly Dividends Per Share
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in mil. unless spec.- CEO
- John Sabino
- Full Time Employees
- 928
- Sector
- Technology
- Industry
- Software - Application
- Address
- 530 7th Avenue New York City NY United States of America 10018
- IPO Date
- Apr 7, 2000
- CIK
- 0001102993
- Website
- liveperson.com
- Similar Companies
- Business
- LivePerson, Inc. (NasdaqGS:LPSN) provides a conversational AI platform that enables brands to deliver connected customer and agent experiences across digital channels including messaging, web, mobile apps, social media, and voice. The company's core offerings comprise the Conversational Cloud for AI-powered messaging and orchestration; Conversational Intelligence & Insights for analytics, sentiment analysis, and performance tracking; and Integrations for seamless connectivity with CRM, e-commerce, and contact center systems; as well as generative AI tools, agent routing, co-browsing, and conversational commerce solutions. Founded in 1995 and headquartered in New York City, LivePerson serves financial services, retail, healthcare, travel and hospitality, telco and cable, and automotive industries globally. LivePerson recently completed a strategic refinancing in September 2025 that eliminated $226 million in debt, captured $181 million in discounts for shareholders, and extended maturities to December 2029, positioning the company for positive cash flow by 2026 amid cost optimizations including workforce streamlining. The company expanded partnerships with Google Cloud in August 2025 to enhance enterprise AI outcomes and with AWS, earning recognition from Gartner and G2 for its platform capabilities. In November 2025, LivePerson announced third-quarter financial results, raised full-year revenue guidance to $235-$240 million, and continues to focus on scalable AI deployment without rip-and-replace overhauls.
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