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First Advantage (FA) investor relations material

First Advantage Barclays 24th Annual Global Financial Services Conference summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Barclays 24th Annual Global Financial Services Conference summary15 Sep, 2026

Strategic evolution and technology leadership

  • Transitioned from a manual BPO to a tech-enabled, data-driven global services company over the past decade, culminating in the FA 5.0 strategy focused on advanced automation, AI, and proprietary data assets.

  • Expanded offerings beyond background screening to include Digital Identity Services, credential verification, and continuous risk monitoring, addressing evolving risks and customer needs.

  • Maintains industry leadership by investing in product innovation, sales, marketing, and R&D, leveraging a verticalized approach tailored to specific industries.

  • Proprietary databases, including a near-billion-record National Criminal Records File and a 135 million record Verified! database, underpin differentiation and margin expansion.

  • Smart Hub AI router optimizes data sourcing, reducing costs for clients and increasing margins, while automation rates in U.S. criminal fulfillment approach 75%, targeting 90% long-term.

Acquisition and integration of Sterling

  • Acquired Sterling, a major peer, nearly two years ago, achieving successful integration without forced customer migrations, preserving high retention rates (96-97%).

  • Synergy targets raised from $50 million to $65-80 million, with $63 million already actioned by Q2; full value realization expected by 2027.

  • Acquisition strengthened market leadership, enabled larger investments, and improved financial performance.

Competitive differentiation and data strategy

  • Deep verticalization allows tailored solutions for sectors like transportation, healthcare, and retail, enhancing customer satisfaction and retention.

  • Proprietary data and Smart Hub AI router provide cost-effective, differentiated solutions, avoiding expensive top-of-waterfall contracts and leveraging a broad network of data sources.

  • Proprietary data is difficult to replicate due to high acquisition costs, regulatory requirements, and decades of operational history.

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