Lionsgate Studios (LION) investor relations material

Strategic positioning and industry trends

• Achieved successful separation of Studio and Starz, enhancing strategic flexibility and positioning as a pure-play studio with high scarcity value.

• Industry consolidation increases the value of content libraries, with recent M&A activity highlighting high valuation multiples for studios.

• Maintains strong demand as a third-party content supplier, benefiting from a diverse buyer pool despite short-term disruptions from industry integration.

• Record-setting library sales and backlog provide significant future contractual revenues and cash flows.

• Expiration of the poison pill and share class simplification further streamline the business for strategic opportunities.

Motion picture segment performance and outlook

• Recent box office successes, such as The Housemaid, demonstrate the ability to generate new franchises and strong global appeal.

• Upcoming slate includes three annual tentpoles, with major releases like Michael, The Hunger Games: Sunrise on the Reaping, and The Passion of the Christ sequel.

• International presales are robust, especially for high-profile titles, with disciplined models ensuring profitability and back-end participation.

• New Pay-1 window split between Starz and Amazon enhances downstream monetization, starting with 2026 releases.

• Focus on mid-budget films and disciplined spending supports sustainable profitability and slate diversity.

Television segment growth and sustainability

• Doubled TV series deliveries year-over-year, with 12 of 13 scripted series renewed and strong franchise development.

• TV now represents 33% of library revenue, up from 15% a decade ago, reflecting increased demand and successful franchise building.

• Backlog of $1.5–1.6 billion in future contractual revenues provides high visibility and sustainability into future years.

• Spin-offs and international collaborations, such as a film version of Ghosts with BBC, expand monetization opportunities.

• AI is used to mine deep catalog content, generating incremental, high-margin revenues without cannibalizing traditional licensing.