ICF International (ICFI) Cantor Fitzgerald Global Technology Conference summary

Efficiency impacts and government market trends

• $90 million in annualized revenue impacts from federal contract terminations and stop work orders, mainly due to cost-cutting by the new administration, with USAID accounting for $50 million of this.

• Programmatic federal work, about 25% of revenues, is most affected, with conservative guidance set for 2025.

• Half of the business outside the federal market is expected to grow at least 15% in 2025, driven by commercial, state/local, and international clients.

• Commercial energy business saw 26% growth last year, fueled by demand for electricity, data centers, and technology innovation.

• State/local disaster recovery and international contracts (notably $210 million in Europe) are key growth drivers.

IT modernization and technology outlook

• Federal IT modernization is expected to see substantial growth over several quarters, with strong interest in AI and automation.

• Temporary procurement pauses due to the new administration have caused some market sluggishness, but long-term demand remains robust.

• Focus is on building new systems and implementing automation/AI, rather than legacy maintenance.

• Progress in civilian IT modernization is uneven, with most agencies in the mid-stages; defense/intel sectors are further along.

• Workflow automation and application development are the highest margin and fastest-growing areas.

Margins, portfolio mix, and capital allocation

• Less than 15% of federal business is cost plus; about 45% is fixed price, which is growing and delivers strong margins.

• Commercial business, now 25% of the mix, generates 25% higher margins and is expanding rapidly.

• Margins are expected to be maintained this year, with long-term upside as commercial and fixed price work grows.

• Recent capital deployment includes a $35 million energy acquisition and ongoing share repurchases; further tuck-in deals in energy are possible, but federal M&A is on hold due to uncertainty.