LendingTree Q2 FY26 earnings call TREE

LendingTree is leveraging AI for both operational efficiency and consumer-facing applications. Internal AI tools are compressing weeks of work into real-time information, contributing to operating expenses growing less than 1% year-over-year while overall revenue grew 25%. Consumer-facing AI initiatives include a ChatGPT app called the Home Loan Rate Confidence Tool, AI overviews within product offering pages, and voice AI across multiple products, all aimed at increasing engagement and applications. The company emphasizes the importance of structured data for effective internal AI use and optimizing AI model selection to manage token usage costs.

The Small and Medium Business (SMB) lending segment experienced significant softness in Q2, underperforming expectations due to cautious merchant sentiment and an initial pullback from lenders. While lender demand has largely recovered to Q1 levels, merchant sentiment remains soft, impacting loan request volumes, average loan sizes, and offer acceptance rates. Management believes these headwinds are temporary and macro-driven, not structural or competitive. Encouraging signs, such as improving closing rates, larger loan requests, and favorable underwriting shifts, led to July being the best sales month since Q1, suggesting Q2 was a trough and a recovery period has begun, with stabilization expected in H2 FY26.

The Insurance business was a standout performer in Q2, with revenue up 42% year-over-year and segment profit up 25% year-over-year. This strong performance is attributed to favorable carrier profitability and robust competition among carriers for policies, which drives demand for LendingTree's marketplace. The company's primary goal in insurance remains overall VMD growth, and it expects healthy growth to continue in the second half of the year, with margins likely similar to Q2 levels. Management views the insurance environment as extremely stable and healthy, with growth largely dependent on effective execution in driving active shoppers.

LendingTree reported a highly cash-generative and capital-light business model, with approximately $80 million in annual free cash flow after interest and minimal CapEx. The company's balance sheet flexibility has improved significantly, with net leverage reducing to 1.9x from 3.0x a year ago. While debt paydown remains a focus, the improved leverage position allows for consideration of other strategic uses of free cash flow, including share buybacks and accretive M&A. This financial strength underpins the company's long-term growth profile.

LendingTree has initiated an arbitration request against Google, joining a group of advertisers in claims related to Google's alleged monopolization of online search and search advertising. The company directed approximately $2.8 billion to Google during the impacted period over the last decade, and believes Google's overcharges accounted for a significant portion of this spend. LendingTree is engaged with an expert economist to size potential damages and expects its tax attributes, including NOLs, R&D tax credits, and interest carry-forwards, to offset a substantial portion of federal income tax on any future taxable recovery, estimated at around $300 million.