AudioEye's Q3 2026 Earnings Call - AUDIOEYE INC

Explicit Guidance:

• Q4 2026 Revenue: $11.4–$11.6 million (midpoint implies ~$550k sequential increase; ~20% annualized sequential growth).
• Full Year 2026 Revenue: Narrowed guidance range of $43.6–$43.8 million.
• Q4 2026 Adjusted EBITDA: $4.2–$4.4 million (56% increase over Q4 2025 midpoint; ~37% margin).
• Q4 2026 Adjusted EPS: $0.32–$0.33 per share.
• Full Year 2026 Adjusted EBITDA: Increased guidance to $13.4–$13.6 million (approx. 50% YoY growth).
• Q4 2026 Annualized Run Rate: Adjusted EBITDA run rate >$17 million; Adjusted EPS run rate ~$1.30.
• Cash Flow: Expect significant ramp in free cash flow generation in Q4 2026 and throughout 2027. Q4 midpoint guidance implies ~$3.9 million in adjusted free cash flow after subtracting ~$400k in software development costs.
• Stock Repurchase: Announced $15 million buyback program running through October 2027 (approx. 15% of outstanding shares at current prices).

Business-Segment Outlook:

• Product Launches: October 8, 2026 launch of "Agenic Audits" and "SDK MCP" (AudioEye Intelligence).
  • Agenic Audits: AI agent finding up to 50% more high-severity issues than automation alone; results in <1 hour.
  • SDK MCP: Integrates audio intelligence into AI coding tools to fix issues during development.
  • Strategy: Positioned as upsell/expansion opportunities and "in-between" service layers; pricing available as standalone SKUs or bundled add-ons.
• Channel Performance:
  • Enterprise: ARR increased 10% YoY in Q3; represents 41% of total ARR. Focus shifted in 2026 to reduce non-recurring revenue in favor of ARR growth.
  • Partner & Marketplace: Revenue up 14% YoY in Q3; ARR up 14% YoY; represents 59% of total ARR. Strong expansion noted in state and local government partners.
• Customer Growth: Total customer base 130,000 (up 6% YoY); ARR grew 12% YoY to $43.3 million.
• Margin Outlook: Gross margin improved >550 bps YoY (88% adjusted in Q3); expects to maintain current margin rates with continued AI-driven efficiency gains in engineering and service delivery.

Market and Competitive Outlook:

• Competitive Moat: Asserts no new competitors have entered leveraging LLMs to replicate AudioEye's 10-year proprietary dataset of 1M+ human fixes across 100k+ sites. Claims AI trained on inaccessible web cannot achieve compliance without proprietary data.
• AI as Headwind/Tailwind: Identifies AI-generated content as a driver for demand (AI models trained on inaccessible sites repeat errors; 55 issues/page vs. 62 for typical sites). Notes that broken accessibility trees prevent AI agents from completing tasks (31% task completion on unfixable sites vs. 96% with fixes), making accessibility critical for "AI readiness."
• Product Differentiation: Solutions offer 3–4x the legal protection of competitors.
• Sales Pipeline: Reporting "best leads of the year," "near record" new business, and strong expansion; litigation trends remain at record levels driving demand.

Macro / Industry Outlook:

• Regulatory Drivers (EU): Updated European standards adopted WCAG 2.2, raising compliance bars for the European Accessibility Act; expects enforcement ramp to drive additional demand.
• Regulatory Drivers (US): Hawaii Act 257 (July 2026) mandates WCAG 2.1 Level A/AA for private businesses; compliance deadlines 24–36 months post-finalization. Believes other states will follow Hawaii's lead, impacting travel and hospitality.
• Litigation: Litigation expense decreased 50% in Q3 from Q2; expects further reduction in Q4 and continued downward trend, significantly aiding cash generation.
• Macro Sentiment: Management views demand environment as "further improving" in 2027 due to regulatory tailwinds and AI readiness requirements.

Strategic Initiatives:

• Capacity & Efficiency: AI usage across the company has driven efficiency, allowing revenue doubling over five years with only ~10% share increase; expects to scale revenue without significant OpEx ramp.
• Capital Allocation: $15M buyback execution expected to be favorable given 6x EV/EBITDA valuation and 50% YoY growth; no constraints expected from debt provider.
• R&D Efficiency: R&D spend decreased 17% YoY to $1.3M (12% of revenue); ~$400k recorded as capitalized software development.
• Product Strategy: Continued focus on ARR growth over non-recurring revenue; expansion of proprietary dataset to power AI agents.

Risks and Headwinds to Outlook:

• Guidance Uncertainty: Forward-looking statements subject to risks including regulatory changes, economic factors, and litigation variability (though trend is downward).
• Product Adoption: New AI products (Agenic Audits, SDK MCP) are early in launch; timing and magnitude of revenue uplift are not yet quantified.
• Execution: AI efficiencies are assumed to continue; failure to maintain automation rates could impact margins.
• Regulatory Timeline: State-level adoption (Hawaii model) and EU enforcement pacing could vary, impacting demand velocity.

Management Tone on the Future:

• Confidence: High confidence in delivering 30–40% annualized EBITDA/EPS growth targets over the next three years (2026–2029), with 2026 EBITDA growth expected at ~50%.
• Optimism: Describes results as "accelerating," "strong," and "exciting"; views the convergence of AI and accessibility as a structural market opportunity.
• Hedges: Standard safe harbor disclaimers regarding forward-looking statements; notes that while litigation is trending down, actual results depend on ongoing developments.