Accenture is a professional services company with roughly 779,000 people on its payroll. It makes money by deploying those people to work on client projects. A bank needs to overhaul its technology systems. A hospital needs to use artificial intelligence to cut costs. A retailer needs to redesign how it serves customers online. Accenture sends in teams of consultants and technology specialists, charges the client for their time and expertise, and books the fee as revenue. The more people it deploys, and the more complex the problems it solves, the more money it makes. The diagram below traces where the money goes.
Five years of financial data show a business that has grown steadily and generates a lot of cash. Revenue climbed from $50.5 billion in 2021 to $69.7 billion in 2025. That is not explosive growth, but it is consistent. Free cash flow, which is the cash left over after paying to keep the business running, has followed a similar path.
The cash generation story is just as notable as the revenue story. Free cash flow rose from $8.4 billion in 2021 to $10.9 billion in 2025. The company also carries no net debt. Its cash holdings exceed its borrowings, meaning it owes less than it holds. That gives it room to keep acquiring companies, pay dividends, and buy back its own shares without taking on dangerous levels of risk.
Gross margin, which measures how much revenue is left after paying the direct cost of delivering services, has stayed remarkably flat across all five years. It sat at around 32% in 2021 and came in at around 32% in 2025. That consistency is a feature of the professional services model. People costs are the biggest expense, and Accenture manages them tightly. Still, fiscal 2025 saw gross margin dip slightly, driven by higher payroll costs, which is worth watching.
One number in the fiscal 2025 results deserves attention. New bookings came in at $80.6 billion, a slight drop from $81.2 billion the year before. That is a small decline, but the direction matters. Managed services bookings fell 3%, while consulting bookings grew 2%. The company also noted that clients are spending more cautiously on smaller, shorter consulting contracts. That shift is not a crisis, but it signals that clients are not writing blank checks.
The risk picture for Accenture is specific, not abstract. Four documented threats stand out. First, a large chunk of Accenture's workforce sits in India and the Philippines. Any disruption in those locations, from natural disasters to political instability to local law changes, could make it hard to deliver work to clients. Second, most consulting contracts run for less than 12 months, and clients can cancel with just 30 days of notice. There is very little long-term lock-in on the consulting side of the business. Third, some geographic markets and service areas depend heavily on a small number of very large clients. Losing one of those clients could visibly hurt results in that region. Fourth, government spending cuts in the United States are already affecting Accenture Federal Services, the subsidiary that handles US federal government work. That unit accounts for roughly 8% of total company revenues, and the filing notes delays, contract reductions, and terminations.
The regulatory risk deserves its own mention. The EU AI Act and similar rules in other countries could force Accenture to redesign how it builds and delivers AI products. Different countries are writing different rules, and navigating all of them at once increases costs and slows down delivery. There is also competitive pressure from an unexpected direction. Tech companies, new AI startups, and even Accenture's own clients are building AI tools in-house. If a large bank decides to build its own AI team rather than hire Accenture, that is revenue that never shows up.
Accenture spent $1.5 billion on 23 acquisitions in fiscal 2025 alone. It also spent $0.8 billion on research and development and $1.0 billion on training its people. These are not small numbers. The company is using its cash to buy capabilities it does not yet have, particularly in AI and data. Whether those acquisitions translate into durable revenue growth, or just raise the cost base, is an open question that will take years to answer.