Morgan Stanley Technology, Media & Telecom Conference 2026
Logotype for Docebo Inc

Docebo (DCBO) Morgan Stanley Technology, Media & Telecom Conference 2026 summary

Event summary combining transcript, slides, and related documents.

Logotype for Docebo Inc

Morgan Stanley Technology, Media & Telecom Conference 2026 summary

6 Mar, 2026

Product and use case overview

  • Offers an AI-powered learning management system with modules for content, communities, and analytics, recently expanding to a multi-product approach with the acquisition of 365Talents for skills intelligence.

  • Serves both internal (onboarding, compliance, talent development) and external (vendor, customer, membership training) use cases, with large external academies driving higher ticket sizes.

  • Customers include major organizations like Target and Databricks, with examples of monetized and unmonetized customer academies.

  • Growing trend of companies monetizing learning and training customers on their platforms.

Demand trends and financial performance

  • Q4 2025 bookings were the strongest since Q4 2021, with mid-market and EMEA showing robust demand, while enterprise lagged but is showing early signs of improvement.

  • Customer count above $100K grew 25%, with higher retention and stickiness among larger, more complex organizations.

  • EBITDA grew 40% year-over-year in Q4 and 30% for the year, with low stock-based compensation and a declining share count.

  • Normalized ARR growth in Q4 was 12.5% excluding Dayforce and 14.5% excluding AWS, with $8M of churn from non-structural sources expected not to repeat in 2026.

AI strategy and product innovation

  • Launched GenAI content authoring in Q4 2024, Harmony Search for contextual answers, and Virtual Coach for role-play scenarios, with some features monetized and others driving user engagement.

  • Plans to expand Harmony Search to integrate with external platforms, creating new monetization opportunities.

  • Virtual role play is monetized through credits, with ongoing evaluation of pricing models.

  • AI adoption is faster in mid-market than enterprise, with some enterprise customers disabling AI features due to compliance concerns.

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