EXPONENT INC Q3 FY2026 earnings call

• Strategic Convergence: CEO Catherine Corrigan emphasized that Exponent’s growth is driven by the convergence of technology, infrastructure, and humans, where complex interactions require integrated engineering and scientific expertise.
• AI Integration: President John Pye noted that AI is a direct element of roughly 15% to 20% of the business, with work spanning all layers of the AI stack from physical infrastructure (data centers) to application-level explainability and safety analysis.
• Operational Efficiency: CFO Eric Anderson reported an 18% increase in total revenues to $173.7 million and a 12% increase in net revenues to $153.1 million. EBITDA grew 16% to $45 million with a margin of 29.4% of net revenues.
• Talent and Utilization: Billable hours increased 8% year-over-year, while average technical full-time equivalent employees rose 4%. Utilization improved to 76.7% from 74.1%, reflecting broad-based demand across industries rather than calendar effects.
• Market Drivers: Demand is fueled by rising expectations for product safety, reliability, and performance as AI and digital technologies embed into physical systems, creating higher-consequence failure scenarios.

The Engineering and other scientific segments accounted for 85% of net revenues, with net revenues increasing 13% year-over-year, driven by strong user research activity and dispute-related services in chemicals, consumer products, and transportation. The Environmental health segment represented the remaining 15% of net revenues, with net revenues increasing 3%, primarily due to increased projects assessing the effects of chemicals on human health and the environment.

• Q4 2026 Net Revenue: Expected to grow 8% to 10% year-over-year.
• Full Year 2026 Net Revenue: Raised guidance to 10% to 11% growth, up from previous estimates.
• Q4 2026 EBITDA Margin: Expected to be 26.3% to 26.8% of net revenues.
• Full Year 2026 EBITDA Margin: Raised guidance to 28% to 28.3% of net revenues, compared to 27.6% in 2025.
• Headcount Growth: Technical FTEs expected to increase 4.7% to 5% for the full year 2026.
• Utilization: Q4 expected at 69% to 70%; Full Year expected at 73.5% to 74%.
• Realized Rate Increase: Q4 expected at 3% to 3.5%; Full Year expected at 3.7% to 4%.
• Stock-Based Compensation: Q4 expected at $5.7 to $5.9 million; Full Year expected at $28.1 to $28.4 million.
• Capital Allocation: Full-year capital expenditures expected at $10 to $12 million; share repurchases to continue when stock price pulls back.

• Regulatory and Legal Scrutiny: As AI and complex technologies become embedded in physical products, clients face increasing regulatory investigations and litigation regarding product safety and liability.
• Operational Complexity: The integration of software, hardware, materials, and human behavior creates high-consequence failure scenarios where independent, evidence-based analysis is critical to withstand legal and boardroom scrutiny.
• Market Uncertainty: Forward-looking statements involve risks and uncertainties that may cause actual results to differ materially from those discussed, including changes in market opportunities or client spending patterns.

Q: Josh Chan (UBS) asked about the drivers behind strong Q3 utilization and the historical trajectory of AI-related revenue.

A: Eric Anderson clarified that high utilization was due to broad-based demand across consumer products, chemicals, and transportation, not calendar effects. John Pye and Eric Anderson explained that while AI is now 15-20% of the business, this capability has been built over 5-10 years through adjacent work like autonomous vehicles and risk management, rather than emerging recently.

Q: Andrew Nicholas (William Blair) inquired about the interplay between high utilization, headcount growth ambitions, and pricing power.

A: Catherine Corrigan stated that the company is actively turning up recruitment efforts to balance demand, focusing on university recruiting and lateral hires. She noted that while planning for pricing and specific headcount growth is ongoing, the strong demand signals justify aggressive hiring to capture future opportunities.

Q: Toby Sommer (Truist) asked if reactive AI disputes are already occurring and which specialties are being hired.

A: John Pye and Richard Schlenker confirmed that reactive AI work is current, citing advanced driver assistance systems, data center fires, and component failures. Catherine Corrigan identified key hiring areas including human factors, biomechanics, thermal scientists, polymer experts, and senior talent in environmental health to address emerging chemical regulations.