Accenture reported strong financial results for the fourth quarter and full fiscal year ended August 31, 2025, showcasing how artificial intelligence (AI) is powering its revenue growth and client momentum.

AI-Fueled Bookings and Revenue Growth
Accenture’s full-year revenue climbed 7 percent to $69.7 billion, with fourth-quarter revenue up 7 percent to $17.6 billion.
Accenture’s revenue was $11.45 billion (up 6 percent) from Communications, Media & Technology, $12.77 billion (up 10 percent) from Financial Services, $14.76 billion (up 7 percent) from Health & Public Service, $21.20 billion (up 8 percent) from Products and $9.48 billion (up 5 percent) from Resources in full-year.
Accenture’s revenue was $35.06 billion (up 8 percent) from Americas, $24.64 billion (up 8 percent) from EMEA and $9.97 billion (up 5 percent) from Asia Pacific.
Accenture’s new bookings reached $21.3 billion in Q4 and $80.6 billion for the year, reflecting robust demand across consulting ($37.64 billion) and managed services ($42.98 billion). Generative AI was a standout growth engine, driving $1.8 billion in Q4 new bookings and $5.9 billion for the year, underscoring the rapid adoption of AI-led transformation.
Strategic Talent and Operational Efficiency
Chair and CEO Julie Sweet credited AI-driven reinvention as key to client success. To meet rising demand, Accenture plans to expand its workforce in FY26 across the U.S. and Europe while executing a three-pronged talent strategy:
Upskilling employees to match evolving AI needs
Streamlining roles where reskilling isn’t feasible
Boosting operating efficiencies with AI
The company launched a six-month business optimization program, recording a $615 million Q4 charge and expecting an additional $250 million in Q1 FY26, aimed at funding severance costs and divesting non-core acquisitions. These cost savings will be reinvested into people and AI-focused growth.
Outlook
Accenture projects FY26 revenue growth of 2 percent–5 percent in local currency, or 3 percent–6 percent excluding its U.S. federal business impact, highlighting continued confidence in AI-driven demand. Rajani Baburajan

