LendingTree, Inc. Q2 FY2026 earnings call

• Overall Financial & Balance Sheet Health

  • Total revenue and adjusted EBITDA have roughly doubled between 2023 and 2026, demonstrating consistent, resilient growth supported by diversified product lines through the multi-year mortgage industry trough.
  • Operating expenses held flat year-over-year, growing less than 1% even as total revenue grew 25% YoY, driven by AI and general operational efficiency gains that convert top-line growth to earnings.
  • Annual free cash flow after interest is approximately $80 million with minimal capital expenditures, resulting in a highly cash-generative, capital-light business model.
  • Net leverage improved to 1.9x from 3.0x a year ago; while debt paydown remains a priority, the company now has a comfortable debt ratio to pursue additional strategic uses of free cash flow including share buybacks and accretive M&A.

• Product & AI Strategic Updates

  • Multiple new AI-powered consumer tools and product updates launched in Q2: the ChatGPT-based Home Loan Rate Confidence Tool, six new consumer offerings (pet insurance, commercial insurance, financial advising), a redesigned homepage/navigation that delivered an 11% increase in sessions and 18% increase in form starts, rolling out voice AI across product lines, and added AI overviews to product pages to help consumers select offers more efficiently.
  • Internal AI tools built on the company's structured data infrastructure compress multi-week work for marketing, sales, and finance teams into real-time outputs, driving core operational efficiency.
  • Recent key AI learnings from the past quarter: internal AI requires highly structured, well-labeled company-specific data and training on industry vernacular to deliver maximum value; matching model capability to use case (using cheaper, smaller models for 90% of internal operational use cases instead of expensive frontier models) controls AI token costs without sacrificing performance; AI product overviews and AI pre-qualification communication improve consumer experience and conversion, while standalone chat tools for full shopping journeys have lower consumer engagement.

• SMB Lending Update

  • Q2 softness was driven by temporary macro factors (Middle East tension, energy price volatility suppressing small business sentiment) and not structural or competitive issues. Lender appetite for SMB loans has already recovered to early Q1 levels, but merchant demand and sentiment remain soft.
  • Encouraging early recovery signs: improved closing rates, larger average loan requests, favorable underwriting shifts, and July 2026 is on track to be the best sales month since Q1. Management expects Q2 2026 was the trough for SMB lending, with stabilization through H2 2026 and a subsequent recovery to surpass prior Q1 record levels.
  • Prior investments in sales force expansion, lender network growth, platform efficiency, AI tools, and traffic sourcing are intact and will support a return to profitable growth.

• Long-Term Strategy

  • The core North Star strategy to become the leading online destination for financial product shopping remains unchanged, with a long-term focus on growing return customers, referred customers, and logged-in users to build a more durable business. AI is a structural tailwind for this goal, driving both operational efficiency and improved consumer engagement.

1. Insurance: Revenue grew 25% year-over-year (Scott Peyree initially stated 25% YoY growth, later corrected to 42% YoY revenue growth) and segment profit increased 25% YoY, driven by strong carrier demand. Adjusted EBITDA margin as a percentage of VMD rose 225 bps YoY to 40%, toward the long-term 45-50% target. Insurance is the company's fastest-growing core segment, contributing healthy overall growth to the firm.
2. Home (mortgage): Revenue rose 9% YoY, and segment profit increased 13% sequentially. The segment continues to operate near trough earnings due to sustained high interest rates suppressing mortgage activity, with historically low margins from intense competition for a smaller pool of borrowers.
3. Consumer Segment (includes SMB lending and personal loans):

• Personal loans: Delivered strong sequential growth from Q1 to Q2, remained stable year-over-year with consistent revenue and consumer shopping activity.
• SMB lending: A prior 40% average annual profit growth engine since early 2024, saw softer-than-forecast demand in Q2 driven by macro-driven merchant sentiment weakness, following 15% budget outperformance in Q1 2026. Small business is the highest margin business within the consumer segment; its current suppression has pulled overall consumer segment margins lower. Overall consolidated adjusted EBITDA has roughly doubled from 2023 to 2026, alongside roughly doubled revenue, with full-year 2026 EBITDA projected to grow 12% year-over-year at guidance midpoint.

• Overall full-year 2026 guidance midpoint projects 12% YoY EBITDA growth, which would mean nearly tripling EBITDA over three years. If SMB lending had performed to original annual budget, full-year results would land at the high end of prior guidance.
• Home segment: No material upside is baked into guidance, with margins assumed to hold at current depressed levels, as the segment continues to face headwinds from elevated mortgage rates and low existing home sales volumes. Margins are expected to normalize only when the housing market recovers.
• Consumer (SMB lending): Guidance only incorporates the recovery of lender demand that has already been observed to date. SMB lending is not assumed to return to Q1 2026 levels in the remainder of 2026, and is now projected to be flat to down for full-year 2026 versus prior growth expectations. Management expects a return to growth in 2027 once merchant sentiment recovers.
• Insurance segment: Healthy VMD growth is expected for the second half of 2026, with margins assumed to remain around Q2 2026 levels as the segment prioritizes top-line growth amid strong carrier demand for customers. Long-term VMD growth remains the primary priority for the insurance segment, with margin expansion expected to accelerate once high growth levels stabilize.

• Sustained high interest rates continue to pressure the home (mortgage) segment, keeping originations volumes and margins at depressed trough levels, with no near-term recovery assumed in guidance.
• Persistent macroeconomic uncertainty could delay the recovery of small business merchant sentiment, extending the current period of suppressed SMB lending revenue and earnings for longer than management currently expects.
• Intense competition for consumers in the insurance segment, along with rising traffic acquisition costs (particularly on Google) is pressuring segment margins in the near term.
• Ongoing macro volatility driven by geopolitical tension (e.g., Middle East conflict) and energy price swings can further suppress small business and consumer borrowing demand.
• The company's exposure to Google search advertising means it faces sustained cost inflation for traffic that could compress margins if revenue growth does not outpace rising acquisition costs.

Q: The analyst asks for guidance assumptions across segments, drivers of lower insurance margins, whether Q2's mid-20s insurance variable margins are the new run rate, how confident management is in sustained insurance VMD growth into 2027, and what leading indicators management monitors for an insurance industry cycle peak. / A: Guidance assumes home margins hold at current low levels with no upside, only incorporates observed SMB lender recovery (not full merchant sentiment recovery, leaving SMB flat to down for 2026), and projects healthy continued insurance growth. Lower insurance margins come from strong carrier competition for customers pushing up acquisition costs. Management expects insurance margins to stay near Q2 levels for the rest of 2026 as the segment prioritizes VMD growth. Key leading indicators for the insurance cycle are overall industry profitability (publicly visible for large carriers) and carrier pricing trends; the current environment is stable and healthy, with strong carrier demand for market share, so growth depends mostly on LendingTree execution, which management is confident in.

Q: The analyst asks what is driving SMB softness (interest rates vs. energy prices/sentiment), an update on personal loan performance, and an update on LendingTree's arbitration claim against Google. / A: SMB softness is driven primarily by macro sentiment, not interest rate sensitivity: elevated energy prices and geopolitical uncertainty have made small business owners delay capital spending and hiring, reducing loan request volume, average loan size, and close rates across the industry, not just at LendingTree. Personal loans performed well sequentially from Q1 to Q2, and remain stable year-over-year. LendingTree joined a group of advertisers in an arbitration claim against Google over its illegal search advertising monopoly, filing its demand in July 2026; the company directed ~$2.8 billion to Google over the impacted 10-year period, and is working with experts to calculate damages, with existing tax attributes expected to offset most income tax on any potential recovery.

Q: The analyst asks for clarification on whether SMB weakness was driven by lenders or merchants, asks if margin softness is from investments or market pressures, and requests key recent AI learnings. / A: Q2 SMB weakness had two components: lender tightening of underwriting criteria, which has already fully recovered, and reduced merchant demand (lower volume, lower close rates) which has not yet recovered. Margin softness comes from both investments and market pressures: the company is prioritizing growing business development partnerships in 2026, focusing on revenue growth over near-term margins, and rising Google traffic acquisition costs and intense carrier competition in insurance also push margins lower. Key recent AI learnings are that structured internal data is critical for effective internal AI, right-sizing AI models to use cases controls costs, AI product overviews improve consumer conversion, and AI pre-communication with consumers improves lead quality and experience.