How Accenture Makes its Money: Revenue Breakdown

How Does Accenture Make its Money?

Accenture plc (NYSE: ACN) is the world’s largest IT services and consulting firm by market capitalisation, employing approximately 774,000 people across 120+ countries and serving 91 of the Fortune Global 100. The company generated $65.1 billion in total revenue for fiscal year 2024 (ending August 2024), up 1.6% from $64.1 billion in FY2023, with net income of $7.3 billion, an operating margin of 14.6%, and free cash flow of approximately $9.4 billion. Accenture is incorporated in Ireland and headquartered in Dublin, with operational centres in New York, London, Bangalore, and dozens of other cities globally.

Accenture earns revenue through two reporting segments: Consulting ($33.9B, 52% of revenue — strategy advisory, technology implementation, systems integration, and transformation project delivery) and Managed Services ($31.3B, 48% — long-term outsourced IT operations, application management, business process outsourcing, and cloud management). Unlike software companies that sell licences, Accenture sells expertise: billable hours, fixed-price project contracts, and multi-year managed service agreements where Accenture deploys its workforce to design, build, run, or improve client operations.

The defining strategic narrative at Accenture in FY2024 was generative AI: the company booked over $3 billion in AI-related engagements in FY2024 (part of a larger $81B in total new bookings), committed to training all 774,000 employees on AI, and positioned itself as the primary enterprise partner for translating AI capabilities from proof-of-concept to production deployment at scale. The AI demand cycle represents the most significant potential revenue growth catalyst in Accenture’s near-term pipeline.

Key Takeaways

• Accenture generated $65.1B in FY2024 revenue (+1.6%) split between Consulting ($33.9B, +0.9%) and Managed Services ($31.3B, +3.0%); the muted 1.6% growth reflects a deliberate enterprise IT spending pause (large discretionary transformation projects deferred) rather than structural share loss — new bookings of $81B (book-to-bill of approximately 1.24x) indicate a strong revenue recovery pipeline ahead
• The business model is people-intensive by design: Accenture’s cost of revenue (~68.7% of revenue) is primarily the salaries, benefits, and overhead of 774,000 consultants, engineers, and operations staff; gross margin of 31.3% is structurally lower than software companies (70%+) but appropriate for a services model where the “product” is human expertise delivered through labour; operating margin expansion (to 14.6%) is driven by shifting labour to lower-cost delivery geographies and automating repetitive service tasks, not by pricing power
• $81B in total new bookings is the most important leading indicator in Accenture’s financials — it represents the contractual pipeline of future revenue not yet recognised; at $81B on a $65B revenue base, Accenture has approximately 1.24x trailing revenue in signed contracts ahead, providing strong visibility; bookings growing faster than revenue signals an acceleration cycle; bookings contracting signals a slowdown 6–18 months before it appears in revenue
• Generative AI is the demand catalyst: Accenture booked $3B+ in AI-related engagements in FY2024 — covering AI strategy, data infrastructure readiness, model integration, AI governance, and scaled production deployment; enterprise AI adoption is in early stages; as more of the Fortune Global 2000 moves from AI pilots to enterprise-scale deployment, Accenture’s AI-trained 774,000-person workforce positions it as the primary integration and deployment partner; the AI supercycle could drive Accenture back toward its FY2022 growth rate of 15%+
• The offshore delivery model is Accenture’s primary cost and margin lever: approximately 60–65% of Accenture’s workforce is in lower-cost delivery locations (India, Philippines, Eastern Europe, Latin America), where fully-loaded cost per employee is 40–70% below equivalent US or Western European consultants; clients pay near-Western-market rates for Accenture services; the spread between client billing rates and offshore delivery costs is the primary source of Accenture’s 14.6% operating margin and its margin expansion trajectory
• Accenture is an aggressive acquirer: the company acquired approximately 40 companies in FY2024, deploying $6.4 billion in acquisition capital targeting niche capabilities in AI, cloud infrastructure, cybersecurity, and industry-specific domain expertise (healthcare IT, energy transition, financial services technology); each acquisition adds specialised capabilities that Accenture then deploys across its existing client base, generating revenue disproportionate to the target’s standalone earnings
• Free cash flow of ~$9.4B (14.4% of revenue) is exceptional for a services business and reflects the low capital intensity of the model: Accenture has minimal physical asset requirements (no factories, no data centres to own, no manufacturing equipment) — its primary assets are its people, client relationships, and accumulated methodologies; FCF funds a substantial shareholder return programme ($7.2B in share repurchases + $3.3B in dividends in FY2024 = $10.5B returned to shareholders, exceeding net income)
• IBM comparison: IBM is Accenture’s closest public competitor in IT services — both serve large enterprises with consulting, systems integration, and managed services; IBM’s strategic differentiation is its proprietary technology stack (IBM Z mainframes, IBM Cloud, watsonx AI platform) which Accenture does not have; Accenture’s differentiation is technology-agnostic implementation expertise (it will implement any cloud, any ERP, any AI platform) and a larger, faster-growing managed services business; the two companies compete directly on every major enterprise digital transformation RFP

Accenture (ACN) Business Model

Accenture is a professional services firm that earns revenue by deploying skilled human capital — consultants, engineers, data scientists, cloud architects, cybersecurity specialists, and industry-domain experts — against client business problems, under one of three contract structures: time-and-materials (billable hours at contracted rates), fixed-price project (a defined scope delivered for a fixed fee, with cost overrun risk absorbed by Accenture), and managed services / outcome-based (a multi-year contract to run specific client operations, often with performance-linked pricing).

The Revenue Model: From Consulting Projects to Managed Services

Consulting engagements are project-based — a defined scope (migrate to SAP S/4HANA, build a generative AI assistant, redesign the supply chain) delivered over a defined timeline (typically 6–24 months), billed either on time-and-materials or fixed-price terms. Consulting revenue is recognised as work is performed (percentage-of-completion accounting). The economics: Accenture deploys a project team (typically a mix of senior principals, managers, and delivery analysts), bills the client at a blended daily rate, and earns a margin on the spread between billing rate and fully-loaded cost per employee.

A senior Accenture consultant in the US might carry a billing rate of $250–400/day; their fully-loaded cost (salary, benefits, training, overhead) might be $150–200/day — generating 25–50% margin on the individual. At scale across 774,000 employees globally, this per-person margin multiplies into Accenture’s $9.5B in operating income.

Managed Services contracts are multi-year agreements (typically 3–7 years) where Accenture takes on operational responsibility for a client function — running their SAP environment, managing their cybersecurity operations centre, processing their accounts payable, or operating their IT helpdesk. Revenue is recurring and relatively predictable (fixed monthly or transaction-volume-based fees). Managed Services provides the revenue stability and visibility that balances the project-cycle volatility of Consulting. The economics are similar in structure (billing rate × hours minus labour cost) but with greater offshore delivery content (lower-cost delivery centres handle the day-to-day operational work; onshore leads manage the client relationship).

The make/buy structure: Accenture is not a product company — it does not build its own technology platforms for proprietary sale. Instead, Accenture is a systems integrator and implementation partner for other technology vendors: it implements Salesforce CRM, SAP ERP, Oracle cloud applications, Microsoft Azure infrastructure, and ServiceNow workflows for clients. Accenture earns fees for implementation; the technology vendors earn software licences. This creates a symbiotic relationship: Accenture is one of the largest implementation partners for each of these vendors, often earning more in implementation revenue on a client deployment than the software vendor earns in licence fees on the same deal.

The Offshore Delivery Model: Accenture’s Core Economic Engine

The offshore delivery model is the most important structural characteristic of Accenture’s economics and the primary driver of its margin profile. The model works as follows:

Client-facing delivery: Accenture fields onshore teams (US, UK, Germany, Australia, etc.) of senior consultants, programme managers, and solution architects who manage client relationships, define project scope, and oversee delivery. These are the highest-billing-rate employees and the face of Accenture to the client. Onshore staffing ratios are kept as low as possible consistent with relationship quality — typically 20–40% of a project team is onshore.

Back-office and implementation delivery: The majority of actual technology build, testing, and managed services operations is handled by offshore delivery centres — primarily in India (Bangalore, Hyderabad, Chennai, Mumbai — where Accenture has 300,000+ employees), the Philippines, Eastern Europe (Poland, Romania), and Latin America (Brazil, Argentina, Mexico). These delivery centres operate around the clock, enabling “follow-the-sun” delivery and 24/7 managed services operations.

The economics: A Bangalore-based Accenture engineer earns approximately $15,000–30,000 per year fully-loaded (salary + benefits + local overhead); a comparable US-based engineer costs $120,000–180,000 per year. Accenture bills both to clients at blended project rates that reflect the onshore seniority of the engagement lead — the offshore savings flow directly to Accenture’s gross margin. This is why Accenture’s 14.6% operating margin is structurally achievable in a labour-intensive services business.

The AI-disruption risk to the offshore model: Generative AI and automation are capable of automating many of the tasks historically performed by offshore delivery teams — code generation, test automation, document processing, routine IT operations. This creates a two-sided dynamic: (a) AI reduces Accenture’s delivery costs (fewer offshore employees needed per engagement = higher margins on existing revenue), but (b) AI could reduce client demand for certain outsourced services (if clients can auto-generate code internally, they need less Accenture implementation labour). Accenture’s strategic bet is that AI increases the complexity of transformation projects (requiring more senior advisory, change management, and governance expertise) faster than it reduces demand for implementation labour — making Accenture’s advisory and AI integration capabilities more valuable, not less.

The $81B Bookings Pipeline: How Accenture Acquires Revenue

Accenture’s bookings figure ($81B in FY2024) represents the total contract value of new work signed in the fiscal year — a leading indicator of future revenue. Bookings are categorised as:

• Consulting bookings: New project engagements signed; typically shorter in duration (6–24 months), recognised as revenue faster
• Managed Services bookings: Multi-year operations contracts signed; total contract value can be large ($100M–$1B+ for a major BPO or IT outsourcing deal) but revenue is recognised over the multi-year contract term

How bookings become revenue: A large managed services deal signed in Q4 FY2024 might have a 5-year total contract value of $500M; Accenture recognises approximately $100M per year in revenue as services are delivered. This is why Accenture’s revenue ($65B) is lower than its bookings run rate ($81B/year) — the bookings pipeline converts to revenue over time. The book-to-bill ratio (bookings ÷ revenue) of approximately 1.24x is healthy — it means Accenture is signing more revenue than it is currently delivering, setting up future growth.

Generative AI: The Revenue Catalyst

Accenture’s $3B+ in AI-related bookings in FY2024 reflects the earliest stage of what management believes will be a multi-year enterprise AI adoption cycle. The AI-related services Accenture offers:

AI Strategy and Readiness: Advising boards and executives on AI adoption priorities, governance frameworks, data infrastructure requirements, and build vs. buy vs. partner decisions. High billing rates, senior consultants, advisory-stage work.

Data Infrastructure for AI: Most enterprises’ data is not ready for production AI deployment — it is fragmented across legacy systems, not properly labelled, not governed for compliance, and not accessible at the speed AI requires. Accenture builds the data foundations: cloud migration, data lake construction, data governance, master data management, and real-time data pipeline engineering.

AI Model Integration and Custom Development: Integrating large language models (LLMs — from OpenAI, Anthropic, Mistral, or open-source models) into enterprise workflows — customer service chatbots, code generation assistants, document summarisation, predictive maintenance, demand forecasting. Accenture implements, fine-tunes, and deploys these integrations.

AI Governance and Responsible AI: Regulatory compliance (EU AI Act, emerging US AI regulation), bias auditing, model explainability, and AI risk management. A growing advisory practice as regulators increase scrutiny of enterprise AI deployments.

Scaled Production Deployment and Change Management: The hardest part of enterprise AI — getting 50,000 employees to actually use the AI tools deployed, managing the organisational change, and sustaining adoption. Accenture’s change management practice is a core competency.

Accenture’s Acquisition Strategy: Buying Capability at Scale

Accenture acquired approximately 40 companies in FY2024, spending $6.4 billion. This is a structural part of the business model — Accenture uses acquisitions to:

• Add specialised capability quickly: Rather than training thousands of employees in quantum computing, industrial IoT, or drug discovery AI, Accenture acquires firms with existing talent and IP in these areas and deploys them across Accenture’s global client base
• Enter new geographic markets: Regional consultancies with strong local relationships give Accenture faster market entry than organic hiring
• Acquire proprietary methodologies and accelerators: Pre-built software frameworks, industry-specific tools, and certified methodologies that reduce delivery time and improve margins on future engagements

Recent acquisition examples: Navisite (cloud managed services), Einr (energy transition consulting), Lumenis (medtech), and dozens of AI and data analytics boutiques. Each acquisition’s revenue and capabilities are absorbed into Accenture’s industry or functional practices and cross-sold to the existing client base.

Accenture Competitors

IBM — the most direct IT services competitor

IBM is Accenture’s closest public-market competitor across consulting, systems integration, and managed services. IBM Consulting (formerly IBM Global Business Services) competes directly with Accenture on every major enterprise transformation RFP. IBM’s differentiator: proprietary technology (IBM Z mainframes, IBM Cloud, watsonx AI platform) — IBM can offer vertically integrated technology + implementation; Accenture’s differentiator: technology-agnostic implementation across any vendor’s platform, larger global delivery network (~774K employees vs. IBM’s ~282K). IBM’s managed services business (Kyndryl was spun off in 2021, removing IBM’s largest infrastructure services unit) is now more focused on hybrid cloud and AI; Accenture’s managed services remain broader. On pure consulting and implementation, Accenture is generally larger and faster-growing than IBM Consulting.

Salesforce — partner and competitor in CRM implementation

Salesforce is simultaneously one of Accenture’s most important technology vendor partners (Accenture is one of the largest Salesforce implementation partners globally — generating billions in implementation fees deploying Salesforce CRM, Marketing Cloud, and Agentforce for enterprise clients) and an emerging competitor in adjacent services (Salesforce Professional Services and its partner ecosystem sometimes compete with Accenture for CRM transformation work). The relationship is primarily symbiotic: Salesforce needs Accenture to implement its software at enterprise scale; Accenture needs Salesforce’s market-leading CRM to generate implementation engagements. Salesforce’s Agentforce AI platform is a new category of Accenture implementation work — every enterprise deploying Agentforce at scale likely needs an Accenture-type integrator to configure it.

Oracle — partner and competitor in ERP and cloud

Similar dynamic to Salesforce: Oracle ERP (Oracle Cloud Applications, Oracle Fusion) is one of the largest categories of Accenture implementation work. A Fortune 500 company migrating from on-premise Oracle EBusiness Suite to Oracle Cloud Fusion is a 2–4 year, $50–500M implementation programme — the type of engagement where Accenture competes against Deloitte, PwC, Capgemini, and Cognizant. Oracle’s own professional services organisation also competes with Accenture for Oracle-specific implementation work, though Oracle typically prefers to refer large implementations to partners like Accenture.

Deloitte, PwC, EY, KPMG (the Big Four) — the management consulting and audit competitors

The Big Four accounting and consulting firms compete directly with Accenture in management consulting and digital transformation. Deloitte’s technology consulting practice (Deloitte Digital) is Accenture’s most significant consulting competitor in the US; McKinsey & Company and Bain compete at the highest-end strategy advisory tier (where Accenture is less present). The Big Four’s competitive advantage: pre-existing C-suite audit relationships that create trust and access for consulting engagements; Accenture’s advantage: a significantly larger technology implementation capability (deeper engineering talent) and a global delivery network that the Big Four cannot match in cost efficiency.

Cognizant, Infosys, Wipro — the offshore-first IT services providers

Indian IT services giants compete with Accenture primarily on price in managed services and application management outsourcing. Cognizant, Infosys, and Wipro have lower billing rates than Accenture (reflecting their lower offshore-cost delivery model with less onshore overlay) and compete aggressively for IT outsourcing contracts. Accenture differentiates through higher-value advisory content, superior project management methodology, broader technology vendor partnerships, and more senior client relationship management — justifying billing rates 20–30% above pure offshore IT service providers.

Revenue Breakdown

Financial data sourced from Accenture SEC Filings.

Consulting grew only 0.9% in FY2024 — the most discretionary part of Accenture’s business (large transformation projects are deferred first when enterprise budgets tighten). Managed Services grew 3.0%, demonstrating the relative resilience of contractual outsourcing revenue vs. project-based consulting. The 1.9% total growth masks strong underlying bookings ($81B) — the revenue recovery is contracted, just not yet recognised.

Geographic revenue mix (approximate): North America ~45%, Europe ~35%, Growth Markets (Asia-Pacific, Latin America, Middle East/Africa) ~20%. North America and Europe are the most mature and highest-margin markets; Growth Markets carry slightly lower margins but faster growth rates, particularly in India (Accenture serves Indian multinationals as well as using India as a delivery centre) and the Middle East.

Revenue Trend (3-Year)

The 3-year trend shows consistent operating margin expansion (14.3% → 14.4% → 14.6%) even as revenue growth decelerated sharply (from ~15%+ in FY2022 to 1.9% in FY2024). This demonstrates the resilience of Accenture’s cost model — offshore delivery and automation allowed margin maintenance through a revenue growth slowdown. The FY2024 low-growth environment is widely expected to be cyclical (driven by enterprise IT budget caution) rather than structural (Accenture’s market position is not being competitively displaced); the $81B bookings pipeline is the primary evidence of a revenue recovery trajectory.

Accenture (ACN) Income Statement

Financial data sourced from Accenture SEC Filings.

The most notable income statement characteristic: FCF ($9.4B) exceeds net income ($7.3B) — unusual for most companies and reflects Accenture’s working capital dynamics (clients pay upfront or on milestone; Accenture’s primary cost — salaries — is paid monthly). This FCF-to-net-income multiple means Accenture’s cash generation is even stronger than GAAP earnings suggest, supporting the $10.5B returned to shareholders in FY2024 (buybacks + dividends).

Accenture (ACN) Key Financial Metrics

• Gross Margin: ~31.3% — Structurally constrained by the labour-intensive delivery model; direct comparison to software companies (70%+ gross margins) is misleading — Accenture’s gross margin is appropriate for a services business where human expertise is the primary cost of delivery. Gross margin improvement over time comes from: (a) shifting more delivery to lower-cost offshore locations, (b) automating repetitive task components of engagements, and (c) selling higher-value advisory work (which carries higher billing rates with similar or lower cost of delivery)

• Operating Margin: 14.6% — Among the highest operating margins in the IT services sector (Indian offshore peers operate at 15–20% but with structurally different cost bases; Big Four consulting arms are not separately disclosed). Accenture has expanded operating margin by approximately 30 basis points per year over the past several years. Long-term target is approximately 15–16%, implying further margin expansion as AI reduces per-engagement delivery cost and the offshore mix continues shifting

• New Bookings: $81B — The most forward-looking revenue indicator. At $81B on a $65B revenue base, the book-to-bill of ~1.24x signals recovery ahead. Watch bookings growth rate quarter over quarter — bookings accelerating above $85B would be the primary indicator of an AI-demand-driven growth acceleration

• Return on Equity: Accenture’s ROE is elevated by its shareholder-return-heavy capital allocation: $10.5B returned in FY2024 (buybacks + dividends) reduces equity, increasing ROE; this is a deliberate financial engineering choice reflecting management confidence in earnings durability. The company has increased its dividend for 13+ consecutive years

• Free Cash Flow: ~$9.4B (~14.4% of revenue) — Exceptional FCF conversion for a labour-intensive services business; driven by low capex requirements (professional services has minimal physical asset investment) and favourable working capital dynamics. FCF funded $10.5B in shareholder returns in FY2024, with the excess funded by modest debt

• Utilisation Rate: Not publicly disclosed but tracked internally — the percentage of billable employees who are actually billed to client engagements (vs. on the bench between projects, in training, or in sales pursuits). Higher utilisation = higher revenue per employee = higher margins. Accenture manages utilisation through the “supply/demand” balance of its workforce — using offshore attrition, hiring freezes, and training programmes to keep billable capacity aligned with billable demand

Is Accenture Profitable?

Yes — Accenture reported net income of $7.3 billion in FY2024 on $65.1 billion in revenue (11.2% net margin), with operating income of $9.5 billion (14.6% operating margin) and free cash flow of approximately $9.4 billion. Accenture has been consistently profitable for decades — the services model’s reliability comes from contractual revenue (managed services are multi-year agreements) and the ability to flex the workforce (defer hiring, manage attrition) in response to demand changes.

The more important profitability question is the margin expansion trajectory: from 14.3% (FY2022) to 14.6% (FY2024), Accenture has expanded margins by 30 basis points in a period of revenue growth deceleration. If AI-driven productivity improvements in delivery (code generation tools reducing developer hours per project, test automation reducing QA costs) allow Accenture to deliver the same or more output with proportionally fewer offshore employees, operating margins could expand toward 16–18% over a 5-year horizon — a significant earnings multiple even on modest revenue growth.

Accenture (ACN): What to Watch

1. Bookings acceleration toward $90B+ — Total new bookings of $81B is the most important leading indicator of revenue recovery. Watch quarterly bookings figures for acceleration: $85B+ annual run rate would signal the AI demand cycle is materialising at scale; $90B+ would suggest Accenture is returning to the 10%+ revenue growth rates of FY2021–2022. The $3B in AI bookings in FY2024 is the seed; watch how rapidly AI deal sizes scale from $3B toward $10B+ annually as enterprise AI moves from strategy to deployment

2. AI bookings monetisation — from strategy to deployment — $3B in AI bookings in FY2024 covered primarily the early stages of AI adoption (strategy, readiness assessment, data infrastructure). The largest AI fees come at the deployment and scale phase: building custom AI agents, integrating LLMs into production ERP systems, managing AI governance at scale across 50,000+ employee organisations. Watch for: (a) management disclosure of AI revenue (as distinct from AI bookings), (b) commentary on deal size progression (average AI engagement value growing from $10–20M toward $50–100M+), and (c) any AI-driven managed services contracts (where Accenture operates AI systems for clients at scale — these generate multi-year recurring revenue similar to traditional BPO)

3. Operating margin expansion toward 15%+ — Accenture’s medium-term margin target is approximately 15–16%. The drivers: continued offshore mix shift, AI-assisted delivery productivity (LLM-assisted code generation reducing developer hours), and higher-value advisory selling (AI strategy engagements carry higher billing rates than traditional IT implementation). Watch annual operating margin against the +30bps/year expansion pace established over the past 3 years — any acceleration above 30bps/year would indicate AI productivity benefits are flowing through faster than expected; deceleration below 15bps/year would suggest wage inflation or pricing competition is compressing the offshore spread

4. Consulting recovery — discretionary project bookings — Consulting revenue grew only 0.9% in FY2024 as enterprises deferred large discretionary transformation projects (cloud migration, ERP upgrades). Watch consulting segment revenue growth quarter-over-quarter: a return to 5%+ consulting growth would indicate enterprise IT budgets are loosening; 10%+ consulting growth would signal the full AI-driven transformation cycle demand is materialising. Consulting growth is more volatile than managed services and is the primary swing factor in Accenture’s total revenue growth rate

5. Acquisition capital deployment and integration quality — Accenture’s 40 acquisitions per year at $6.4B in FY2024 capex is the largest single non-return-of-capital use of its FCF. Watch for: (a) acquisitions specifically in AI infrastructure (AI agents, specialised model training, vertical AI applications) as indicators of where Accenture believes the highest-value AI services will be; (b) revenue contribution from acquired companies growing faster than the 8–9% that acquisition-related revenue typically contributes to total growth; (c) any large single acquisition (>$1B) as a signal of a major strategic capability gap being filled — previous large deals (Avanade, Duck Creek Technologies integration work) give the benchmark for integration success

6. Offshore delivery model AI disruption — net impact on margins — The central debate for Accenture’s long-term model: AI reduces the hours required per engagement, which should improve margins (fewer offshore developers delivering the same output); but AI also reduces the demand for certain outsourced services (clients that previously outsourced code maintenance may now use AI coding assistants internally). Watch the managed services revenue trend most closely — if managed services contracts are being cancelled or reduced as clients automate previously-outsourced tasks, it would appear as managed services revenue deceleration or negative NRR on existing contracts. Continued managed services growth of 3%+ would indicate the net effect is positive (AI creates new outsourcing demand faster than it displaces existing demand)

7. Geographic mix and currency headwinds — With 45% of revenue in North America and 35% in Europe, Accenture is exposed to EUR/USD and GBP/USD movements that affect reported USD revenue. A stronger US dollar erodes the USD value of European and Asian revenue. Watch FY2025 guidance commentary on currency-adjusted (local-currency) revenue growth vs. USD-reported growth — the spread reveals the currency impact. Also watch any geopolitical commentary on Growth Markets (Middle East, India) — both are high-growth, high-investment regions where Accenture has been expanding, and any disruption would affect the Growth Markets segment’s contribution to total growth

Accenture (ACN) Financial Summary

Accenture (ACN) generated $65.1 billion in total revenue in fiscal year 2024 (+1.9% YoY) with $7.3 billion in net income, a 14.6% operating margin, and approximately $9.4 billion in free cash flow — one of the largest FCF-generating professional services businesses in the world. The 1.9% revenue growth in FY2024 reflects a cyclical enterprise IT spending pause, not structural share loss: $81B in new bookings (1.24x book-to-bill) and $3B+ in AI-related engagements signal a revenue recovery pipeline driven by the generative AI enterprise adoption cycle. Accenture’s offshore delivery model (60–65% of 774,000 employees in lower-cost markets), acquisition-driven capability expansion (~40 acquisitions/year), and deep relationships with 91 of the Fortune Global 100 constitute one of the most durable competitive positions in global professional services. For the IT services and enterprise software comparison, see How IBM Makes its Money. For the largest ERP implementation category in Accenture’s consulting pipeline, see How Oracle Makes its Money.