Research Accenture's publicly reported AI-related revenue, bookings, and growth rates from 2023–2026, including management…
Full research prompt
Research Accenture's publicly reported AI-related revenue, bookings, and growth rates from 2023–2026, including management guidance and analyst consensus estimates. Identify what percentage of total revenue is attributed to AI services, how "new bookings" from AI are trending quarter over quarter, and what sell-side analysts (Goldman, Morgan Stanley, etc.) project for AI-driven growth through 2028. Produce a data table of key metrics and quotes from earnings calls.
From What will AI do to Accenture's Business?
The central tension in Accenture's numbers emerges from the arithmetic between bull and bear cases on AI rather than from either case alone. In Q2 FY2026 this comparison uncovers effects on the business that remain hidden in isolated projections.
Accenture’s “advanced AI” (GenAI, agentic AI, and physical AI—explicitly excluding data, classical AI, RPA, and AI embedded in service delivery) generated $2.7 billion in revenue in FY2025 (ended Aug 31, 2025), tripling from ~$0.9 billion in FY2024 and representing roughly 3.9% of total revenue ($69.7 billion). This narrow slice drove outsized bookings momentum ($5.9 billion in FY2025, nearly doubling YoY) before Accenture stopped reporting it separately after Q1 FY2026, citing its rapid embedding across nearly all work.[1][2]
The mechanism is clear: Accenture’s early $3 billion multi-year investment (announced FY2023) built a scaled workforce (~77,000 AI/data professionals by end-FY2025, targeting 80,000 by end-FY2026), reusable agents/platforms, and deep ecosystem ties (e.g., OpenAI, Anthropic, Microsoft). This converts client demand for enterprise-scale transformation into large, multi-year contracts that convert to revenue over time, with strong pull-through (at least 1 in 2 advanced AI projects leads to a data project). Broader AI-related work (including classical AI, data, and AI-enabled delivery) is materially larger and now the primary growth driver, though not isolated in reporting.[3]
New “advanced AI” bookings showed strong sequential and YoY growth through the final reported quarter. Q1 FY2026 advanced AI bookings reached $2.2 billion (+76% YoY in USD), following $1.8 billion in Q4 FY2025 (part of the $5.9 billion FY2025 total). Cumulative bookings since tracking began (around Sep 2023) reached $11.5 billion across ~11,000 projects by end-Q1 FY2026, with associated revenue of $4.8 billion. Total company new bookings hit records in recent quarters ($22.1 billion in Q2 FY2026, up 6% USD / 1% local currency; $20.9 billion in Q1 FY2026, up 12% USD / 10% LC), with AI cited as a key contributor to large deals and market share gains.[4][5]
Sell-side projections for Accenture-specific AI-driven growth through 2028 are sparse in public commentary; analysts generally view AI as a core long-term tailwind supporting mid-single-digit revenue growth and margin expansion, with stock price targets reflecting bullish scenarios around $440–480 (e.g., Goldman Sachs, Morgan Stanley ranges cited in secondary reports). Broader AI services TAM projections (e.g., IDC references in Accenture materials pointing to $70 billion by 2029 at 40%+ CAGR) underpin optimism, but analysts note execution risks around scaling from pilots to enterprise-wide deployments and competition from hyperscalers/natives. Management FY2026 guidance (3–5% local-currency revenue growth, raised; 4–6% ex-federal) explicitly ties upside to AI momentum and acquisitions.[6]
Key Metrics Table (FY2023–FY2026 YTD)
| Metric | FY2023 | FY2024 | FY2025 | FY2026 Q1 | FY2026 Q2 |
|---|---|---|---|---|---|
| Total Revenue | $64.1B | $64.9B | $69.7B (+7%) | $18.7B (+5% LC) | $18.0–18.04B (+4% LC) |
| Advanced AI Revenue (narrow def.) | Negligible (~$0.1B early GenAI) | ~$0.9B | $2.7B (3x YoY) | ~$1.1B (+120% YoY) | Not separately reported |
| Advanced AI / GenAI Bookings (narrow def.) | ~$0.3B (early) | ~$3.0B | $5.9B (~2x YoY) | $2.2B (+76% YoY) | Not separately reported |
| Cumulative Advanced AI Bookings (since ~Sep 2023) | N/A | N/A | ~$8.9B (partial) | $11.5B | N/A |
| % of Total Revenue (Advanced AI only) | <1% | ~1.4% | ~3.9% | ~5.9% (Q1) | N/A (embedded) |
| Total New Bookings | Not specified in results | ~$81B+ (implied) | $80.6B | $20.9B (+10% LC) | $22.1B (+1% LC) |
| FY Guidance / Outlook | N/A | N/A | N/A | FY26: 2–5% LC rev growth (raised to 3–5%; 4–6% ex-federal) | Confirmed/raised |
Sources: Accenture earnings releases, presentations, transcripts, and Fact Sheets (FY2025 annual report; Q1/Q2 FY2026 releases).[7][8][9]
Earnings Call Quotes on AI Momentum and Reporting Change
- Q1 FY2026 (Dec 18, 2025) – CEO Julie Sweet / transcript: “Our advanced AI bookings this quarter were $2.2 billion, nearly doubling from Q1 last year… Revenue reached another milestone this quarter at approximately $1.1 billion… This will be the last quarter in which we share these specific metrics. The demand for AI is both real and rapidly maturing. We’ve now reached a point where advanced AI is being embedded in some way across nearly everything we do…” (Cumulative to date: $11.5B bookings, $4.8B revenue across 11,000 projects.)[3]
- FY2025 Annual / Q4 FY2025 (Sep 25, 2025): “In fiscal year 2025, we tripled our revenue over fiscal year 2024 from generative AI and, increasingly, agentic AI to $2.7 billion. And we nearly doubled our generative AI bookings to $5.9 billion.”[2]
- Q4 FY2024 call: FY2024 GenAI bookings $3B and revenue nearly $900M (vs. FY2023: ~$300M bookings / ~$100M revenue).[10]
Implications for Competitors and Market Entrants
Accenture’s data moat (real-time client transaction/operations visibility via large managed services relationships) and scale in talent upskilling + ecosystem orchestration create a durable advantage in moving clients from pilots to production. Pure-play AI firms or traditional consultants without end-to-end transformation capabilities face challenges winning the largest deals. The decision to stop isolating “advanced AI” metrics signals that AI has become table stakes; future differentiation will hinge on outcomes-based pricing, agentic AI deployment at scale, and integration with physical/digital infrastructure (e.g., data centers). Watch for continued M&A (Accenture deployed ~$1.6B in Q2 FY2026 alone, targeting $5B+ for the year) to accelerate capability gaps.[11]
Data notes and caveats: All figures are USD. “Advanced AI” is Accenture’s narrow definition; broader AI contribution (including enabling tools and delivery efficiency) is not quantified but described as pervasive. Analyst AI-specific revenue or growth forecasts through 2028 were not detailed in retrieved sources (stock price targets predominate). FY2026 data reflects results available as of early June 2026. Additional primary transcripts or 10-K filings would further strengthen longitudinal tracking.
Recent Findings Supplement (June 2026)
Accenture has embedded advanced AI (GenAI, agentic AI, physical AI) across its operations, shifting from isolated metrics to integrated reporting while highlighting accelerating demand through record bookings and ecosystem partnerships. In Q1 FY2026 (reported Dec 18, 2025), the company disclosed its final separate advanced AI figures before noting that AI is now “embedded in some way across nearly everything we do.” Q2 FY2026 results (reported Mar 19, 2026) showed continued momentum via overall record bookings and updated guidance reflecting AI-driven growth, with management emphasizing scaling enterprise transformations and doubling AI/data ecosystem partner bookings in FY2026 vs. FY2025.[1][2]
Q1 FY2026 (ended Nov 30, 2025) advanced AI metrics (last reported separately):
- Advanced AI bookings: $2.2 billion (+76% YoY in USD; up sequentially from Q4 FY2025).
- Advanced AI revenue: ~$1.1 billion (+120% YoY in USD).
- Cumulative since Q3 FY2023 launch of the metric: ~$11.5 billion in bookings across ~11,000 projects and $4.8 billion in revenue.
- ~1,300 advanced AI clients; nearing goal of 80,000 AI & data professionals.[3][4]
Q2 FY2026 (ended Feb 28, 2026) overall results and AI-related updates:
- Revenue: $18.04 billion (+4% local currency / +8% USD).
- New bookings: Record $22.11 billion (+1% LC / +6% USD); book-to-bill 1.2; record 41 clients with >$100 million quarterly bookings (Consulting: $11.33B; Managed Services: $10.78B). H1 FY2026 bookings totaled $43.0 billion.
- Operating margin: 13.8% (+30 bps YoY).
- AI/ecosystem highlights: Revenue from top 10 ecosystem partners (>60% of total) outpaced overall growth; on track to more than double FY2026 bookings from key emerging AI & data ecosystem partners vs. FY2025; >85,000 AI & data professionals (exceeding end-FY2026 goal of 80,000); >1,400 advanced AI clients (~100 added since Q1); at least 1 in 2 advanced AI projects leads to a data project.[1][2]
FY2025 baseline (ended Aug 31, 2025; referenced in 2026 reports): Total revenue $69.67 billion (+7% YoY). Advanced AI revenue $2.7 billion (tripled YoY); advanced AI bookings $5.9 billion (nearly doubled YoY). These represented a small but rapidly growing slice (~3.9% of total revenue).[5]
Management guidance and quotes (post-Dec 2025 updates): FY2026 revenue growth now expected at 3–5% in local currency (raised from prior 2–5%; or 4–6% excluding ~1% U.S. federal drag). Adjusted EPS $13.65–$13.90; free cash flow raised to $10.8–11.5 billion. CEO Julie Sweet (Q2 release): “We’re accelerating our critical work with clients to scale advanced AI across their enterprise, and we’re seeing strong AI-driven growth.” Q3 FY2026 revenue guidance: $18.35–19.0 billion (1–5% LC growth).[2][6]
Analyst consensus estimates (recent aggregates, as of early 2026): FY2026 revenue ~$74.1 billion; FY2027 ~$78.0 billion; FY2028 ~$82.7 billion (mid-single-digit CAGR ~5–6%). Earnings growth projected at ~8.9% per annum. Limited sell-side specifics on pure “AI-driven” growth through 2028 in public results; overall forecasts incorporate AI as a key support for mid-single-digit expansion amid broader digital transformation demand.[7][8]
Key metrics table (recent quarters; USD billions unless noted):
| Metric | Q1 FY2026 | Q2 FY2026 | FY2025 Full Year | FY2026 Guidance (as of Mar 2026) |
|---|---|---|---|---|
| Total Revenue | ~18.7 | 18.04 | 69.67 | 3–5% LC growth |
| New Bookings | 20.9 | 22.11 (record) | N/A | N/A |
| Advanced AI Bookings | 2.2 (+76% YoY) | Not separately reported | 5.9 | N/A (ecosystem doubling expected) |
| Advanced AI Revenue | ~1.1 (+120% YoY) | Not separately reported | 2.7 | N/A (embedded) |
| AI & Data Professionals | Nearing 80k | >85k | N/A | Goal met/exceeded by end FY26 |
Implications for competitors/entrants: Accenture’s data moat (real-time client transaction visibility via large-scale deployments) and ecosystem scale create barriers; pure-play AI firms or traditional consultancies must match end-to-end transformation capabilities or risk share loss in large deals. The shift away from isolated AI metrics signals maturation—AI is now table stakes rather than a siloed growth driver.[3]
No major regulatory or policy updates specific to Accenture’s AI reporting appeared in post-Dec 2025 sources. All figures derive from company earnings releases, presentations, and analyst aggregates published after Dec 1, 2025.