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FRESH Analysis Report
Aug 22, 2026
1 day ago · 100% complete
NOT DEPENDABLE This report predates a filing — its financial basis has been replaced.
Report generated: Aug 22, 2026 · Filing on record since: Aug 23, 2026
For AI assistants & researchers — machine-readable summary of this page

What this page is: Delvantic's full research page for Accenture plc Class A (ACN) — AI-driven forensic equity research: mechanical valuation models (DCF, EPV, anchored-PE, scenario) plus three independent AI lenses (Quality / Value / Sentiment). Everything below is rendered server-side; you are not missing content that requires JavaScript. All scores are predictions and research opinions, not financial advice.

Our current read (analysis of 2026-08-23): Designation Gem · Gem Score +43 (−100…+100 Quality+Value blend) · Quality 73 · Value 18 · Sentiment 53 (timing only, not weighted) · Composite fair value $193.32 vs $185.26 at analysis

Page map (sections in order; each card carries a stable reference-name attribute you can cite):

  • profile-header / price-overview — company profile, live quote, market cap
  • extended-analysisthe core: three AI lens reads with findings, scores, and the analyst memo
  • future-predictions — our forward price-band predictions
  • market-narrative / ai-findings / gpt-critique — narrative context, cross-model findings, and an adversarial critique of our own analysis (near the end of the document)
  • Members-only sections (render as login gates for anonymous readers): price-history, income-trend, key-metrics, financials (statement tables), insider-trading. The analysis above is public; the raw data tables require a free account.

More for machine readers: site briefing at /llms.txt · any ticker resolves at delvantic.com/stock/TICKER · raw inputs are public-company filings and market data (via licensed data feeds); every model, score, lens read, and prediction on this page is Delvantic's own analysis.

Accenture plc Class A

ACN NYSE
Technology · Information Technology Services
Dublin, D02 P820, Ireland accenture.com Updated Aug 22, 1:53pm
Price
$185.28
Market Cap
$113.4B
Employees
799,000
Beta
1.07
Avg Volume
6,968,916
Last Dividend
$6.22
CEO
Ms. Julie T. Spellman Sweet J.D.

Accenture plc Class A is a global professional services company focused on helping organizations modernize operations, strengthen digital capabilities, and improve business performance. Accenture provides services across strategy and consulting, technology, operations, digital transformation, cybersecurity, cloud, data, and artificial intelligence, serving clients in industries such as financial services, healthcare, public service, communications, consumer goods, and manufacturing. Its work centers on designing and delivering enterprise-scale solutions that integrate business process expertise with advanced technology and industry knowledge. Accenture also supports clients through specialized offerings in supply chain, finance, talent, and customer experience, making it a major provider of end-to-end business services for corporations and governments worldwide. Headquartered in Dublin, Ireland, Accenture plc Class A represents a widely followed name in the information technology services and consulting market.

Runs with full report Generated: Aug 3, 2026 1:43pm
Price Overview
Price at report time
$185.26
as of Aug 21, 6:05pm (2d ago)
Change · Aug 21
+3.91 (+2.16%)
Day Range
$180.02 – $188.45
52-Week Range
$118.15 – $291.09
50-Day MA
$153.35
200-Day MA
$205.74
Volume
3,746,748.00
Right now · live
Log in to get the live feed
Members see the real-time price and the move since this report (over 2d).
Share Structure
Outstanding 611,861,944.00
Float 610,791,658.00
Free Float 99.8%
High free float — 99.8% of shares trade freely, ~0.2% held by insiders/institutions
Very liquid — most shares trade freely. Low insider ownership can mean less management alignment, but makes large position sizing straightforward.
Price History (1 Year)
Last updated: Aug 22, 2026 2:06pm (1d ago)
Revenue & Net Income Trend
The directional story — useful even when net income is negative.
Last updated: Aug 22, 2026 2:06pm (1d ago)
Revenue
The top line — total sales before any costs or taxes are subtracted. A measure of how much business the company is doing.
Net Income
The bottom line — profit left after subtracting all expenses, interest, and taxes from revenue. Reflects accounting profitability, but includes non-cash items like depreciation, so it isn't the same as cash earned.
Operating Cash Flow
The real cash generated by the day-to-day business — selling products, paying suppliers, collecting from customers. Calculated from net income by adding back non-cash items and adjusting for timing (unpaid bills, unsold inventory). When OCF consistently lags net income, the reported profit may not be converting to real money.
Period Revenue Net Income Net Margin YoY/QoQ
Key Metrics
TD Twelve Data statement HEX SEC filing
Industry comparison last run: Aug 22, 2026 1:58pm
P/E Ratio (Price per dollar of earnings)
HEX
Stock Price / EPS (Diluted)
15.25
Stock Price: $185.28
EPS (Diluted): 12.15
P/B Ratio (Price vs net asset value)
HEX
Stock Price / Book Value Per Share
3.63
Stock Price: $185.28
Total Equity: $32.24B
Shares: 632,435,108
EV/EBITDA (Total value vs operating profit)
HEX
Enterprise Value / EBITDA
Market Cap: $113.38B
Total Debt: $114.48M
Cash: $11.48B
EBITDA: N/A
EBITDA not available
Enterprise Value (Takeover price (cap + debt - cash))
HEX
Market Cap + Total Debt - Cash
$102.1B
Market Cap: $113.38B
Total Debt: $114.48M
Cash: $11.48B
Gross Margin (Revenue left after direct costs)
HEX
Gross Profit / Revenue
31.9%
Gross Profit: $22.24B
Revenue: $69.67B
Operating Margin (Revenue left after all operations)
HEX
Operating Income / Revenue
14.7%
Operating Income: $10.23B
Revenue: $69.67B
Net Margin (Revenue left as actual profit)
HEX
Net Income / Revenue
11.0%
Net Income: $7.68B
Revenue: $69.67B
ROE (Profit from shareholder equity)
HEX
Net Income / Total Equity
23.8%
Net Income: $7.68B
Total Equity: $32.24B
ROIC (Profit from all invested capital)
HEX
NOPAT / Invested Capital
37.4%
Operating Income: $10.23B
Tax Rate: 23.7%
Equity: $32.24B
Total Debt: $114.48M
Cash: $11.48B
Current Ratio (Can it pay short-term bills)
HEX
Current Assets / Current Liabilities
1.42
Current Assets: $28.90B
Current Liabilities: $20.35B
Debt/Equity (Leverage — debt vs equity)
HEX
Total Debt / Total Equity
0.00
Short-Term Debt: $114.48M
Long-Term Debt: $0.00
Total Debt: $114.48M
Total Equity: $32.24B
Rev/Share (Top-line per share)
HEX
Revenue / Shares Outstanding
$110.17
Revenue: $69.67B
Shares: 632,435,108
Book Value/Share (Net assets per share)
HEX
(Total Assets - Total Liabilities) / Shares
$50.98
Total Equity: $32.24B
Shares: 632,435,108
FCF/Share (Real cash generated per share)
HEX
(Operating Cash Flow + CapEx) / Shares
$17.19
Operating CF: $11.47B
CapEx: -$600.04M
Shares: 632,435,108
CapEx is negative (outflow) — added to OCF to get FCF
Div Yield (Annual income from holding)
TD
Last Annual Dividend / Stock Price
3.4%
Last Dividend: $6.22
Stock Price: $185.28
Payout Ratio (Earnings paid out as dividends)
HEX
Dividends Paid / Net Income
Dividends Paid: N/A
Net Income: $7.68B
Dividends paid not available in cash flow statement
Industry Benchmarks
Last run: Aug 22, 2026 1:58pm
Compares ACN against LLM-researched typical ranges for its industry. One research call per industry, cached indefinitely — every stock in the same industry reuses the same baseline.
Income Statement (Annual)
Last updated: Aug 22, 2026 2:06pm (1d ago)
Metric 2021 2022 2023 2024 2025
Revenue $50.5B $61.6B $64.1B $64.9B $69.7B
Cost of Revenue $34.2B $41.9B $43.4B $43.7B $47.4B
Gross Profit $16.4B $19.7B $20.7B $21.2B $22.2B
Operating Expenses $8.7B $10.3B $11.9B $11.6B $12.0B
Operating Income $7.6B $9.4B $8.8B $9.6B $10.2B
Net Income $5.9B $6.9B $6.9B $7.3B $7.7B
EBITDA $8.7B $10.7B $10.2B $11.0B
EPS $9.31 $10.87 $10.90 $11.57 $12.29
EPS (Diluted) $9.16 $10.71 $10.77 $11.44 $12.15
Balance Sheet (Annual)
Last updated: Aug 22, 2026 1:53pm (1d ago)
Metric 2021 2022 2023 2024 2025
Cash & Equivalents $8.2B $7.9B $9.0B $5.0B $11.5B
Total Current Assets $19.7B $21.6B $23.4B $20.9B $28.9B
Total Assets $43.2B $47.3B $51.2B $55.9B $65.4B
Current Liabilities $15.7B $17.5B $18.0B $19.0B $20.4B
Long-Term Debt
Total Liabilities $23.1B $24.5B $24.8B $26.8B $33.2B
Total Equity $20.1B $22.7B $26.5B $29.2B $32.2B
Retained Earnings $14.0B $18.2B $19.3B $23.1B $21.0B
Cash Flow (Annual)
Last updated: Aug 22, 2026 2:06pm (1d ago)
Metric 2021 2022 2023 2024 2025
Operating Cash Flow $9.0B $9.5B $9.5B $9.1B $11.5B
Capital Expenditure -$580.1M -$718.0M -$528.2M -$516.5M -$600.0M
Free Cash Flow $8.4B $8.8B $9.0B $8.6B $10.9B
Acquisitions (net)
Net Debt Issued / (Repaid) $0 $100.0M $827.8M $4.1B
Dividends Paid -$2.2B -$2.5B
Stock Buybacks -$3.7B -$4.1B -$4.3B -$4.5B -$4.6B
Net Change in Cash -$247.2M -$278.3M $1.2B -$4.0B $6.5B
Growth Trends (YoY %)
Last updated: Aug 22, 2026 2:06pm (1d ago)
Metric 2022 2023 2024 2025
Revenue Growth +21.9% +4.1% +1.2% +7.4%
Gross Profit Growth +20.4% +5.2% +2.1% +5.1%
Operating Income Growth +22.9% -5.9% +8.9% +6.6%
Net Income Growth +16.4% -0.1% +5.7% +5.7%
EBITDA Growth +22.1% -4.3% +8.0%
Dividend History (Last 20)
Last updated: Aug 17, 2026 9:47am (6d ago)
Date Dividend Declaration Record Payment
2026-07-09 $1.63
2026-04-09 $1.63
2025-07-10 $1.48
2025-04-10 $1.48
2025-01-16 $1.48
2024-10-10 $1.48
2024-07-11 $1.29
2024-04-10 $1.29
2024-01-17 $1.29
2023-10-11 $1.29
2023-07-12 $1.12
2023-04-12 $1.12
2023-01-11 $1.12
2022-10-12 $1.12
2022-07-13 $0.97
2022-04-13 $0.97
2022-01-12 $0.97
2021-10-13 $0.97
2021-07-14 $0.88
2021-04-14 $0.88
0Company Classification 1Industry Landscape 2Company Momentum 3Forward Projection 4aDCF Valuation 4bEarnings Power Value 4cAnchored PE 4dReverse DCF 4eRevenue-Based DCF 4fAnchored P/S 4gScenario Analysis 4hDividend Discount Model 4iBook Value Analysis 4jInsider Activity 4fCash Flow Quality 4gDebt Maturity Risk 4hMacro Environment 4iSector Intelligence 4jRevenue Confidence 4kSensitivity Analysis 4lSector Demand Cycle 5AI Investigation 5bThesis Evaluation 6Valuation Synthesis
computed not applicable 18 computed · 6 not applicable
Risk : Reward — if the last quarter repeats
Live · as of 2026-08-23 02:38
0.3 : 1 recovery upside vs repeat-quarter downside
Recovery pays +12%; another quarter like the worst recent one costs 41%. Ratio 0.3:1.
CaseGrowthMarginFair valuevs price ($185.26)
Bull — recovery +8% 17.0% $207.45 +12%
Base — stabilizes +6% 14.7% $166.87 -10%
Bear — keeps slipping +3% 12.5% $131.73 -29%
Stress — last quarter repeats +7% 8.7% $109.89 -41%
The next quarters keep the trajectory of the worst recent matched quarter (ending 2025-08-31) — growth stays at 7.3% and margins bend by the same profit-vs-revenue ratio (×0.81). Stress is a trajectory, not a prediction — it answers "what if the ship's current heading simply continues," which history says is the case to respect.
Why this is appearing: this company files quarterly, so its recent trajectory could be measured rather than assumed — the engine matched May 2026, Feb 2026, Nov 2025 against the same quarters one year earlier and found revenue +6.6% · operating income +4.5% · net income +1.8% year-over-year. That measured heading is what the stress case extends forward. Of those, the stress case extends the worst matched quarter — the one ending Aug 31, 2025 (revenue +7.3%, operating income -12.9% YoY) — not the average. Data measured through May 31, 2026 — this card recalculates automatically when the next quarterly filing is ingested. Companies without quarterly filings (many foreign listings) never show this card: with no measured trajectory, there is nothing honest to repeat.
Narrative Economics
The story the market is telling about this stock — the intangible X-factor (founder mythology, cult dynamics, TAM-of-imagination) that moves price beyond what cash flows alone explain. After Shiller, Narrative Economics.
No narrative profile yet for ACN — it's generated by the pipeline (market-narrative step).
AI Lens 4th lens · how AI reaches this business · 5-yr
2026-08-17
The creme is there an opportunity here? Conditional opportunity
Accenture is the world's default AI integrator selling into an order book priced in human hours — own it only if you see revenue per employee inflecting, because that is the single number that separates the compounder story from slow deflation.
Exposure is near the top of the pool (90) with position sitting almost exactly at neutral (47) and a deliberately wide 22–76 range: the demand tailwind is real and share gains (+3.5% vs industry) confirm it, but five years of flat ~32% gross and ~15% operating margin prove this firm has never kept its own productivity gains. The unlock is repricing from hours to outcomes and assets — watch revenue per employee against headcount and any renewal-cycle price resets in FTE- or transaction-based managed services, which will show up in bookings quality long before it shows in reported revenue. If margin breaks above 16% while headcount flattens, the bull case is live; if managed-services renewals reprice down, the annuity everyone calls defensive is the thing that cracks first.
47
AI Position
Genuinely unresolved — demand tailwind versus a labor-priced revenue unit
Accenture is the enterprise world's default AI deployment channel, but it monetizes human hours at scale, so the same technology that fills its order book deflates the unit it sells.
Exposure 90 Confidence 61 50 = neutral
Primary Tailwind

Enterprises cannot self-assemble AI across legacy data estates, ERP, security and change management, so Accenture harvests a re-platforming wave — its GenAI-tagged bookings and share gain (7.4% vs 3.9% industry) show it is currently the trusted integration layer for models it does not have to build.

Primary Pressure

The monetized unit is billable people on a pyramid: if agents cut the hours needed for application development, testing, maintenance and BPO transaction processing, competitive bidding hands the savings to clients as lower contract values, not to Accenture as margin.

Critical Hinge

Whether Accenture converts pricing from hours/FTEs to outcome- and asset-based contracts fast enough to hold revenue per delivered outcome. Watch revenue per employee and managed-services renewal values against headcount — rising revenue/head with flat-to-down headcount is the tell it is working.

Hard to Reproduce

Master service agreements, procurement approval and security posture inside thousands of large enterprises, plus global delivery scale, government clearances and a decade of client-specific system knowledge — none of which cheap software confers.

Forensic fingerprint same 11 factors for every stock · 0 unfavorable · 50 neutral · 100 favorable
Underlying Need Persistence do people still need this at all? 86
Large enterprises will keep needing outside capacity and accountability to change complex systems.
The job — get a 40-year-old estate onto new technology without breaking the business — intensifies as AI adds another platform migration; the need is not information scarcity but execution capacity and blame absorption.
Client transformation budget commentary · New bookings by service type · Discretionary consulting versus managed mix
relevance 80 · confidence 85
Solution Persistence will they still solve it this way? 41
The need persists; the pyramid-of-people delivery model is the part at risk.
Delivery historically leaned on large offshore teams doing code, test, migration and transaction work — precisely the tasks agents compress — so the same outcome may be bought with a fraction of the delivered hours.
Headcount trend versus revenue · Revenue per employee trajectory · Share of asset/platform-based delivery
relevance 92 · confidence 58
Intelligence Commoditization does cheap AI power them or copy them? 44
Cheap models both power Accenture's offerings and erode the scarcity of its analytic labor.
Accenture buys intelligence rather than owning it, so it captures no model rent; when the intelligence in a junior consultant's work becomes near-free, the billable pyramid's lower tiers lose price support.
Pricing per engagement versus prior scope · Junior hiring and campus intake · Attrition/utilization disclosures
relevance 88 · confidence 62
Responsibility Transfer are they paid to take the blame? 72
Accenture is genuinely paid to own risk on programs no CIO wants on their own neck.
Fixed-fee and SLA-backed transformation and regulated-industry work carry liability, audit and remediation obligations that an internal agent stack cannot underwrite — this is the strongest shield in the model.
Share of outcome/fixed-fee contracts · Contract loss provisions or write-offs · Regulated and public-sector bookings
relevance 85 · confidence 70
Scarcity Migration do their assets get rarer or more common? 52
Scarcity moves from trainable labor supply to enterprise access and accountability — Accenture owns part of it.
Its historic scarce asset (ability to mobilize hundreds of thousands of trained engineers cheaply) becomes less rare; its durable asset (installed procurement relationships and program governance) becomes relatively more valuable.
Top-100 client revenue concentration · Multi-year MSA renewal wins · Wins against AI-native challengers
relevance 80 · confidence 57
Customer DIY Preference will customers just build it themselves? 45
AI lowers the cost of an internal capability clients have long wanted to insource.
Cheap agent tooling plus hyperscaler platforms makes an in-house engineering team plausibly sufficient for work previously outsourced for scale, though most enterprises still prefer variable, externally-owned capacity.
Insourcing announcements by large clients · Managed-services renewal rates · Client internal AI platform buildouts
relevance 78 · confidence 58
AI Intermediation Position do AI agents go through them or around them? 62
Today agents reach the enterprise through integrators; tomorrow model vendors may sell the last mile directly.
Accenture sits between hyperscalers/model labs and the client and is rewarded for that routing, but Microsoft, OpenAI-style vendors and software firms increasingly package deployment services themselves and can disintermediate the middle.
Alliance revenue with hyperscalers · Model vendor direct services expansion · Software-led vs services-led AI deals
relevance 85 · confidence 60
Data Leverage does their data make AI better? 47
Reusable delivery assets and client system knowledge help, but there is no proprietary data moat.
Accumulated industry playbooks, code repositories and migration patterns improve internal AI productivity; client data is contractually walled off and cannot compound into a cross-client model advantage.
Proprietary platform/asset revenue disclosure · Client data usage restrictions in contracts · Internal AI tooling productivity claims
relevance 60 · confidence 52
AI Margin Conversion do the AI savings become profit? 36
History says services productivity gains are competed away in the bid, not banked.
Gross margin has held ~32% and operating margin ~15% across five years of significant offshore and automation leverage, evidence that clients capture efficiency in repricing; nothing yet shows AI breaking that pattern.
Gross margin above 33% · Operating margin above 16% · Pricing commentary on renewals
relevance 90 · confidence 66
Revenue Unit Durability does the thing they charge for survive? 34
The unit sold — people-hours and FTE-priced managed services — is the most AI-deflatable unit in the model.
Time-and-materials and per-FTE/per-transaction outsourcing pricing directly indexes to labor volume, so agentic delivery shrinks the invoice even when Accenture wins the work.
Mix shift to outcome-based pricing · Per-transaction BPO price resets · Bookings-to-revenue conversion lag
relevance 95 · confidence 63
Entrant Compression how easily can newcomers copy them? 49
AI-native, thin-headcount challengers can undercut delivery but not enterprise procurement access.
Barriers built on trained-labor scale weaken sharply, while security review, global footprint, references and MSA incumbency still gate large-enterprise programs — so entrants compete on price at the edges first.
Competitive losses to AI-native firms · Indian IT peers' pricing behavior · Deal sizes above $100M won/lost
relevance 75 · confidence 55

AI Lens thesis

AI reaches Accenture on both sides of the same P&L line: demand-side it creates a large, multi-year integration and data-remediation program that only firms with existing enterprise access can execute, and Accenture is visibly winning that share; supply-side it attacks the cost basis of the very work it sells, because roughly half of revenue is managed services and offshore delivery whose price is anchored to headcount and labor arbitrage. Gross margin has sat at ~32% and operating margin ~15% for five years, which is the empirical signal that in a bid-driven services market productivity gains historically pass through to clients rather than to shareholders. So the decisive question is not capability — Accenture will ship good AI work — but whether it can re-price from time to outcome before AI-native, low-headcount challengers and hyperscaler/model-vendor professional services arms reset the reference price for a transformation program.

Thesis breaker Two consecutive years of revenue per employee rising more than mid-single digits with flat or declining headcount and expanding operating margin would break the deflation read; conversely, managed-services renewals repricing down at high single digits would break the tailwind read.
What the market may be underestimating

Upside Accenture's own delivery cost is the largest AI-addressable cost pool in the sector — if AI absorbs the bottom of the pyramid, a firm that has never grown operating margin past ~15% could re-rate on structurally higher margin rather than volume.

Downside BPO/Operations transaction-based contracts are the quietest exposure: clients can benchmark agentic per-transaction cost directly, making price resets mechanical and contractual rather than negotiated, and those are multi-year annuity revenues the market treats as defensive.

Outcome range spread 54 · unresolved

22Bear case
46Central case
76Bull case
Three headline numbers, deliberately never blended: Position (which way), Exposure (how much it matters at all), Confidence (how sure). The fingerprint asks every stock the same 11 questions so companies a sector label would lump together get told apart. Not an input to GEM/Coal or the Q/V/S lenses.
Growth Outlook
Analyzed 2026-08-22 14:13

The question every valuation on this page silently assumes: is this company likely to grow? Judged forward — the business, its category, the world — against what's already printed.

Growing Mid-single-digit revenue growth with share gains against a mature 3% industry — durable but decelerating, with earnings lagging the top line as reinvention and mix costs bite. conf 7/10
Share gain Category growing · IT services is in a steady phase — category median recent growth 5.4%, industry revenue CAGR only 2.9%. ACN's recent 7.4% YoY exceeds both, a +3.5pt gap to industry.
Next 2 quarters
Growing
Backlog-driven managed services plus visible bookings conversion should keep revenue in the mid-single digits; the decelerating quarterly trend argues against reacceleration but not against growth. Earnings likely again grow slower than revenue.
≈ inline with expectations
Year 1
Growing
Full-year revenue growth of roughly mid-single digits is well supported by contracted work and tuck-in M&A, but operating income growth of +4.5% against revenue +6.6% means the FY earnings line grows more slowly than the top line unless reinvention charges abate.
≈ inline with expectations
Years 2–3
Holding
Structurally, growth is a tug-of-war: share gains and AI-enablement scope pull up, while AI-driven hours deflation, a 2.9% industry CAGR and negative operating leverage pull down. Multi-year revenue CAGR of 4.25% with earnings growth decaying toward the low single digits is the most defensible base case — earnings power holds rather than compounds.
↑ above expectations
The creme: each rung's call measured against what's already printed (vs analyst estimates · vs guidance / FY consensus · vs price-implied growth) — expectations in print are already in the price, so only the variant margin can pay. Hover a rung's chip for the margin read.
Growth drivers
65 Share gain inside a mature category — Recent revenue YoY 7.4% vs industry ~3.9% (industry CAGR 2.9%) — a +3.5pt gap. Scale, global delivery centers and Fortune 500 vendor consolidation mean ACN absorbs work from smaller integrators and in-house teams whenever clients rationalize suppliers. This is the single most reliable forward mechanism: growth does not require the category to accelerate.
56 Managed services / operations backlog — A large share of revenue is multi-year outsourced operations and application management, which converts booked backlog into revenue on contract schedules rather than on discretionary budget cycles. This is why revenue volatility is only ~3% and all measured years are positive — the base is visible 2-4 quarters out.
48 AI/data build-out as billable enterprise work — Enterprise AI deployment requires exactly what ACN sells — data estate cleanup, platform integration, change management, security. Company-specific edge: it is the counterparty hyperscalers and ERP vendors route implementation demand to, so model-layer disruption arrives as project scope rather than as substitution, at least while deployments are bespoke.
36 Tuck-in acquisition cadence plus FCF engine — FCF CAGR 9.9% vs revenue CAGR 4.25% shows cash conversion outrunning the top line, funding a steady stream of capability acquisitions that add inorganic points to growth and refresh the service mix without straining the balance sheet.
Growth risks
61 Earnings growing slower than revenue — Matched-quarter YoY: revenue +6.6%, operating income +4.5%, net income +1.8%. That is negative operating leverage — pricing/mix pressure plus reinvention, severance and headcount-reskilling costs. If this persists, EPS growth relies on buybacks rather than the business, and the multi-year earnings CAGR of 5.7% is not repeatable.
48 Quarterly trend decelerating — The revenue confidence read explicitly flags a decelerating quarterly trend even as the YoY level stays mid-single-digit. Consulting-type (discretionary) work is the swing factor and it decays first when client budgets tighten; the growth call rests on managed services holding the floor.
38 Public-service / federal budget exposure — A meaningful revenue block sits with government clients where procurement reviews and contract descopes hit quickly and are not offset by commercial demand. This is a known drag on the growth rate rather than a tail risk.
41 AI deflation of the pyramid model — Revenue is priced off human effort. If code generation and agentic tooling compress hours per deliverable faster than volume expands, ACN must win more scope simply to stand still — a genuine structural threat to the years-2-3 rung even if near-term prints are fine.
23 Macro headwinds and FX — 10y at 4.69 with a flagged headwind backdrop pressures client capex approvals; a large non-USD revenue base makes reported growth partly a currency outcome outside management's control.
Enterprise technology spend is being redirected rather than expanded: budgets shift from discretionary transformation programs toward AI-enablement, data readiness and cost-takeout outsourcing. That mix shift favors the largest integrators with global delivery scale and existing Fortune 500 relationships, which is why a 3% industry supports a 7% ACN. The open question the world has not yet answered is whether AI ultimately expands the addressable scope of integration work or deflates its price; today it expands scope, but the labor-hours business model is the exposed surface. Macro is a modest brake on discretionary consulting, not a demand collapse — this is a steady, not cyclical-trough, backdrop.
Growth position composite +6
ShrinkingStallingHoldingGrowingAccelerating
70Next 2 quarters · Growing
70Year 1 · Growing
50Years 2–3 · Holding
+6Composite (−100…+100)
A research prediction, not advice. Forward-graded: each rung is scored against the prints that follow it. Not an input to the GEM designation — track record first.
Claude Reading
Independent analyst synthesis · claude-opus-4-7 · generated 2026-08-22 14:05:58
Verdict Modestly undervalued — fair value $205-215 on 17x FY26 EPS plus 3.4% yield; starter position at $185 makes sense but the synthesis' $232 target overstates the re-rating potential given real GenAI-deflation risk.

Looking at the raw quarterlies first: revenue went $16.41B → $17.69B → $16.66B → $17.73B → $17.60B → $18.74B → $18.04B → $18.72B. That's roughly 7% YoY in the most recent quarter (May '26 $18.72B vs May '25 $17.73B, +5.6%) and Nov '25 $18.74B vs Nov '24 $17.69B (+5.9%). The Feb quarter was softer at 10.1% net margin — the seasonal dip persists — but full-year FY25 delivered $69.67B rev and $7.68B NI, up 7.3% and 5.8% respectively from FY24. This is not a company in trouble; it's a company growing mid-single-digits with a 14.7% op margin and ~$10.9B FCF against a $113B market cap (10.4x FCF yield ~9.6%). Balance sheet is essentially debt-free ($114.5M debt vs $11.5B cash), ROIC 37%, and they pay a 3.4% dividend. At 15.2x trailing earnings for a business of this quality, the setup is genuinely cheap by ACN's own history (typical 22-28x).

Now, the models. Synthesis says undervalued with fair value $193-232; Market Forces says neutral/hold pending sub-13x forward; Narrative layer calls it a sentiment gap not a broken business. I think Synthesis is directionally right but the $232 signal-adjusted number is aggressive — that requires believing multiple re-rates back toward 20x without any hit to growth from GenAI. Market Forces' demand for sub-13x forward is too punitive for a business generating 37% ROIC with net cash; you don't get to buy this at Cognizant multiples absent a real thesis break. The models are internally inconsistent: you can't simultaneously call this "above sector benchmarks" with "strong cash flow quality" and demand a deep-cyclical multiple. My read: fair value sits around $205-220 on 17-18x FY26 EPS (~$12.50-13), giving 10-18% upside plus 3.4% yield. That's a decent risk/reward but not a table-pounder.

The contrarian case deserves airtime and the models underweight it. GenAI consulting is a double-edged sword: yes, ACN is winning $3B+ in GenAI bookings, but the deflationary risk is real — if a $50M SAP implementation becomes a $20M Copilot-assisted engagement, revenue per engagement compresses even as project count rises. Bookings growth has been decelerating (management flagged this on recent calls) and the Feb '26 margin of 10.1% is notably worse than Feb '25's 10.7% and Feb '24 comparable — the "seasonal" dip is deepening. Federal consulting exposure (~8% of Americas) is a live headwind given DOGE-related contract reviews. The insider data here is useless (all award grants, tiny sizes, no open-market buying to confirm conviction). And "recent_revenue_yoy 7.4%" flatters the picture — TTM revenue growth is closer to 5%, and organic (ex-acquisitions, ACN has done ~30 tuck-ins) is likely 3-4%. The bear "value trap at 3-4% organic growth" framing is not crazy.

Where I land: partial agreement with the undervalued verdict, but the synthesis' +25% upside is overstated. This is a $200-215 stock on fundamentals with a 3.4% dividend cushion, trading at $185 with real but manageable GenAI-transition risk. The asymmetry favors accumulation — downside to $165 (13.5x, prior cycle trough) is ~11%, upside to $215 is ~16%, plus yield. That's not screaming cheap; it's quietly cheap for patient capital willing to underwrite mid-single-digit growth continuing. I'd want to see the next bookings number and organic growth disclosure before sizing up. The models overweight the DCF math and underweight the real possibility that consulting economics structurally reset lower — but even in that scenario, at 15x with net cash and 100% FCF conversion, you're not losing much.

GPT Reading
Independent reading · gpt-5.4 · generated 2026-08-22 14:06:13
Verdict Undervalued at $185 — the market is pricing Accenture like a low-quality cyclical, but the cash generation, net-cash balance sheet, and stable 11%-15% margins support fair value closer to $210-$225.

At $185, Accenture looks mispriced to the downside for what the numbers actually show. This is not a high-growth software company pretending to be one; it is a very large, asset-light services compounder producing roughly $70 billion of annual revenue, $10.2 billion of operating income, $7.7 billion of net income, and $10.9 billion of free cash flow with essentially no balance-sheet leverage. The cleanest fact in the file is the balance sheet: $11.48 billion of cash against just $114.5 million of debt. On an enterprise basis, you are paying barely 1.46x revenue for a business with 14.7% operating margin, 11.0% net margin, 23.8% ROE, and 37.4% ROIC. That is cheap for a commodity outsourcer, but Accenture’s economics are better than that label implies. The market cap of $113.4 billion against trailing earnings of $7.68 billion gives the 15.2x P/E shown, and that multiple feels much more like a cyclical industrial than a high-return global consulting franchise.

The recent operating trend is better than the “mature stagnation” framing. Annual revenue rose from $64.9 billion in FY24 to $69.7 billion in FY25, up 7.4%, while net income grew from $7.26 billion to $7.68 billion, up 5.8%. Quarterly revenue has also stair-stepped higher: from $16.41 billion in Aug-2024 to $17.69 billion, $16.66 billion, $17.73 billion, $17.60 billion, $18.74 billion, $18.04 billion, and now $18.72 billion. There is seasonality and some choppiness, but no evidence of a broken demand engine. More importantly, margins have held in a narrow band despite all the AI-disintermediation fear: recent quarterly net margins have been 12.9%, 10.7%, 12.4%, 8.0%, 11.8%, 10.1%, and 12.5%. Even the ugly August quarter looks more like a seasonal or mix-related dip than a structural deterioration. If generative AI were already commoditizing Accenture’s work at speed, I would expect a clearer margin slide than this.

Cash conversion is the second reason I lean bullish. FY25 operating cash flow was $11.47 billion on $7.68 billion of net income, and with only $600 million of capex, free cash flow reached $10.87 billion. That is a 15.6% FCF margin on revenue and implies the company converts accounting earnings into distributable cash extremely efficiently. With a 3.36% dividend yield and net cash balance sheet, shareholders are being paid while they wait for sentiment to normalize. The valuation also looks more favorable if you think in ex-cash terms: deducting the $11.48 billion cash from the equity value lowers the effective multiple further, yet the business still posted nearly $8 billion of annual profit. For a company that has grown revenue from $50.5 billion in 2021 to $69.7 billion in 2025, while keeping operating margins around 14%-15%, the current price embeds too much skepticism about future relevance.

The strongest argument against this view is that the business may simply deserve a lower multiple now than in prior cycles because growth has normalized and AI could compress billable hours over time. The five-year revenue CAGR of 4.3% and earnings CAGR of 5.7% are solid but not exciting, and FY22 to FY23 showed that operating income can slip even when revenue rises, with op income moving from $9.37 billion to $8.81 billion. That tells you this is not an invulnerable margin story. If clients use AI to demand the same project outcomes with fewer consultants, Accenture’s current 31.9% gross margin and 14.7% operating margin could face secular pressure. A 15x earnings multiple is not obviously absurd if you assume long-run growth drifts to low single digits and margin expansion disappears. In that framework, the stock is a bond proxy with modest growth, not a rerating candidate. I weigh that risk less heavily because the most recent annual and quarterly data do not yet show the feared economic damage; they show resilience, not erosion.

What would change my mind is straightforward. If revenue growth slips back toward 2%-3% while net margin falls below 10% on a sustained basis, the “cheap compounder” case breaks and this deserves to trade closer to 12x-13x earnings, or roughly $145-$160 depending on the earnings base. Likewise, if free cash flow drops materially below net income for more than a year, that would undermine one of the stock’s core supports. On the other hand, if Accenture can keep quarterly revenue around $18.5-$19.0 billion, sustain net margins near 11%-12%, and push annual EPS/NI growth back into high single digits, I think the market will eventually pay at least 17x-18x earnings again, which would support something like $205-$225 even without heroic assumptions.

Grok Reading
Independent reading · grok-4.5 · generated 2026-08-22 14:06:45
Verdict Modestly undervalued quality compounder at $185; 15× earnings and ~9.6% FCF yield overshoot AI/macro fears given intact 11% margins and net-cash fortress

Accenture’s numbers describe a fortress-quality compounder that the market has marked down as if the franchise were breaking. Fiscal 2025 delivered $69.67B of revenue and $7.68B of net income on a $10.23B operating profit, converting almost perfectly into $10.87B of free cash flow after only $600M of capex. Trailing net margin sits at 11.0%, operating margin 14.7%, ROE 23.8% and ROIC an exceptional 37.4%, all while the balance sheet carries $11.48B of cash against a trivial $114.5M of debt. At $185 the stock trades at 15.2× earnings, 1.68× sales and a free-cash-flow yield near 9.6%—multiples that embed the assumption that mid-single-digit growth is about to disappear. Yet the last four reported quarters still show revenue between $17.6B and $18.7B, with the May 2026 quarter up roughly 5.6% year-over-year and net margin back at 12.5%. The 4.3% revenue CAGR and 5.7% earnings CAGR understate the cash-generation story: FCF has compounded at nearly 10%. This is not a broken model; it is a mature earner whose pricing power and client lock-in have so far absorbed the AI narrative scare without visible margin collapse.

The valuation gap is therefore mostly narrative. A 15× multiple on a business that historically commanded 25–30×, paired with a 3.4% dividend and net-cash balance sheet, implies the market believes GenAI will either hollow out consulting demand or force permanent fee compression. Nothing in the reported P&L yet confirms that thesis. Quarterly revenue is still expanding, cash conversion remains pristine, and the company continues to return capital without leverage. The decelerating sequential growth flag is real but modest; absolute dollar growth and backlog visibility have not cracked. At these cash yields the stock does not need a re-rating to 25× to work; even a move back toward 18–19× on stable mid-single-digit earnings growth produces attractive total returns.

The strongest counter-argument is that the multiple compression is rational and permanent. Revenue CAGR of only 4.3% and recent earnings growth of 5.7% look pedestrian for a technology name, and the “decelerating” quarterly trend plus macro headwinds could keep growth stuck in the low single digits for years. Hyperscalers and internal AI tools may slowly erode the higher-margin strategy and implementation work that has historically supported Accenture’s premium. If clients systematically demand productivity-linked pricing, the 14.7% operating margin could drift toward 12%, turning the current 15× P/E into a value trap rather than a bargain. The Market Forces note correctly flags that competitive and ROI risks are underappreciated at any multiple that still assumes historical margin durability. Insider activity is pure noise (tiny awards), offering no signal either way, and the valuation models themselves disagree—composite fair value of $193 versus a more optimistic signal-adjusted $232—so the margin of safety is thinner than a simple “cheap on cash flow” screen suggests.

I would reverse the undervalued call if two consecutive quarters showed revenue growth falling below 2% year-over-year while operating margin compressed below 13%, or if free-cash-flow conversion deteriorated materially below 90% of net income. A sustained re-acceleration above 8–9% organic growth with stable margins would, conversely, justify a higher conviction bull stance and a move toward the upper end of the fair-value range.

Big-3 Panel — where each AI stands
Each AI above independently stated a direction (undervalued, fairly valued, or overvalued) and how strongly it believes it (conviction, 0–5). We combine those into a Bull-Bear Index on a 0–10 scale: 5 is neutral, 10 is maximum bullish (undervalued at full conviction), 0 is maximum bearish. We compute the score ourselves with the same arithmetic for every seat — the models never grade their own bullishness — so the three are directly comparable. Δ shows how far each seat sits from the panel average of 8.3; a large Δ marks the dissenting voice, usually the one worth reading.
Claude claude-opus-4-7 8.0
undervalued · conviction 3/5 · Δ -0.3 vs panel · self: 6.0
GPT gpt-5.4 9.0
undervalued · conviction 4/5 · Δ +0.7 vs panel · self: 7.0
Grok grok-4.5 8.0
undervalued · conviction 3/5 · Δ -0.3 vs panel · self: 6.0
Advanced Analysis Forensic deep-dive · separate lenses
Separate reads — Company Quality (is it a great business?), Valuation (is it mispriced?), and General Sentiment (how macro + narrative are pushing it), plus AI Impact (how the AI wave reshapes it), kept deliberately apart · 2026-08-22 14:14:46
Delvantic - Cairn AI
Quality compounder - starter now, add on weakness 6/10
Accenture is a strong, cash-rich compounder that is only modestly cheap here - a starter, not a table-pounder, with the AI question hanging over the multi-year hold.
The cruxWhether Accenture can inflect revenue-per-employee upward as AI reshapes services pricing - if yes, today's price is a bargain; if no, the EPV floor 30% below spot is where this drifts.
Forensic checks Derived mechanically from ACN's filed financials — not from the AI lenses
Liquidity & RunwaySelf-Funding
DilutionShare Count Shrinking
Earnings QualityHigh Earnings Quality
The four lensesswitch a tab for its full read — score + evidence
Company Quality
+73
Strong
edge √Σ 134 · risk √Σ 41 · conf 8/10

Revenue has grown every year from 50.5B in 2021 to 69.7B in 2025 (about 8% CAGR) with operating margin steady in a tight 13.7-15.2% band and net income compounding from 5.91B to 7.68B. Free cash flow reached a record 10.87B in 2025, converting at 141% of net income (OCF/NI 1.41x) with accruals at -5.4% of assets, Beneish M of -2.71 and Altman Z of 4.24 - a clean, non-manipulative earnings profile. The balance sheet holds 11.48B liquid cash and 11.37B net cash (about 10% of market cap), so the business is fully self-funding.

Strengths 4
m78
Elite cash conversion
FCF of 10.87B on 7.68B net income (OCF/NI 1.41x) with negative accruals (-5.4% of assets) indicates earnings are backed by real cash, not working-capital games.
m70
Net cash fortress
11.37B net cash and Altman Z of 4.24 (safe zone) mean survival is not a question under any plausible scenario.
m62
Per-share value protected
Diluted shares fell from 645.9M (2021) to 632.4M (2025), a -0.5% CAGR; buybacks run 237% of SBC (which is a modest 3% of revenue).
m55
Consistent top-line compounding
Revenue grew every year 2021-2025 (50.5B to 69.7B) without a down year, unusual for a cyclical consulting business, suggesting scale, diversification and client stickiness.
Concerns 3
m30
Margin plateau, not expansion
Operating margin has oscillated 13.7-15.2% over five years with no clear upward trend; gross margin actually dipped to 31.9% in 2025 from 32.6%, hinting at pricing or mix pressure (possibly AI/GenAI transition).
m22
Insider tape is one-directional (sells only)
0 open-market buys vs 10 sells (2.59M) over the last 12 months; not alarming for a mega-cap but no insider is stepping up to buy either.
m18
Revenue growth decelerated then re-accelerated unevenly
Growth went 21.9% (FY22) to 4.1% (FY23) to 1.2% (FY24) to 7.4% (FY25); the wobble in FY24 suggests real demand sensitivity in discretionary consulting spend.
This is a high-quality operating business. The mechanical forensic picture is essentially spotless: cash exceeds debt, FCF exceeds reported earnings, share count is falling, and none of the manipulation flags trip. What keeps me from calling it a Fortress is that the economics have plateaued - operating margin has been flat for five years, gross margin just ticked down, and the FY24 near-stall reminds you this is still discretionary spend at the end of the day. It is a Strong business, well-run, with protected per-share value, sitting comfortably in the healthy tier but not showing the widening-moat acceleration that would push it into the elite bracket.
Verify before trusting this (5)
  • Bookings and book-to-bill trend to confirm demand durability into FY26
  • Segment / geography mix and whether GenAI-related bookings are cannibalizing legacy managed services
  • Whether the 2025 gross margin dip reflects wage inflation, utilization, or pricing concessions
  • Acquisition spend and goodwill build - ACN is an active tuck-in acquirer, so returns on M&A capital matter
  • Customer concentration and public-sector exposure given federal contracting scrutiny
Valuation / Mispricing
+18
Modestly Cheap
edge √Σ 72 · risk √Σ 54 · conf 6/10
Price $185 vs deserved ~$200-210, roughly 8-12% discount - modestly cheap, not a screaming bargain. attractive below $165.00

The price is $185.26 against a composite fair value of $193.32 (about 4% upside) and a signal-adjusted fair value of $232.02 (about 25% upside). The DCF ($217.74) and anchored P/E ($207.41) cluster in the $207-218 range and imply 12-18% upside, while the EPV floor of $130.40 says the no-growth downside is roughly 30% below spot - a wider downside than the base-case upside on the composite number, which is a yellow flag for margin of safety. Earnings quality is high, so no haircut is warranted, and the business-quality lens supports a premium multiple, but that premium appears mostly already reflected.

Cheap signals 3
m55
DCF and anchored-PE both above spot
DCF $217.74 and anchored-PE $207.41 bracket a deserved value near $210, about 12-15% above the $185.26 price - a real but modest gap on a high-quality compounder.
m40
Signal-adjusted FV $232 implies 25% upside
The signal-adjusted composite of $232.02 suggests the market is discounting ACN below what its quality and cash generation warrant, though this method runs hot vs the more conservative anchors.
m25
Quality supports deserved premium
Fortress balance sheet, FCF > earnings, falling share count and clean forensics justify anchoring toward the higher end of the FV range rather than the EPV floor.
Rich / priced-in 2
m45
EPV floor 30% below price
EPV of $130.40 says without growth the shares are worth ~30% less than spot; because ACN's growth has stalled to 3-4%, the margin of safety on a no-growth scenario is thin.
m30
Composite FV only 4% above price
The unadjusted composite $193.32 is essentially at the price - the 'cheap' read leans heavily on the signal adjustment and DCF terminal assumptions, not on obvious dislocation.
It's modestly cheap, not a fat pitch. I see roughly 10-15% to a defensible deserved value around $205-210, which for a business this durable is worth owning but not backing up the truck for. The EPV floor being 30% below spot bothers me - it means if growth truly stalls, downside meaningfully exceeds base-case upside. I'd want it closer to $165 (a 20%+ discount to my central FV) before calling it a genuine margin-of-safety buy; between here and there it's a fine hold, not a table-pounder.
Verify before trusting this (4)
  • FY25 organic revenue growth guide and bookings trend - the 3-4% growth assumption is central to the DCF
  • Operating margin trajectory given AI automation pressure on staffing-based consulting
  • Cash returns pace (buyback + dividend) vs the falling share count assumed in per-share math
  • Any one-off restructuring or acquisition-related costs distorting reported earnings
General Sentiment
+53
Tailwind
tail √Σ 98 · head √Σ 39 · conf 6/10

The non-fundamental pressure on ACN has flipped constructive. The stock is up 26.7% in a month with a string of positive tape days (2026-07-28 buyback and dividend, 2026-07-29 Radisson agentic-AI win, 2026-08-19 rebound), and headlines are explicitly framing ACN as the preferred pick versus IBM on dividends and valuation. That is a real momentum-plus-relative-strength press for a steady-compounder name that normally trades on quiet flows. The narrative itself is shifting from 'AI disrupts consulting' toward 'AI drives consulting demand,' which is the single most important sentiment vector for this ticker. Macro backdrop is mildly supportive: risk-on tape, VIX 15, and a 1.07 beta means ACN participates in but is not levered to the regime. Rates at 4.69% and a 25.7 market PE are a low-grade drag on all equities but land softly on a defensive, cash-generative services name. Analyst tone appears to be catching up rather than leading, which leaves room for target revisions to add fuel. Net: a moderate, durable tailwind, not euphoria - the narrative intensity is only moderate and the cult coefficient is low, so this is a re-rating grind rather than a mania.

Tailwinds 4
m62
AI-demand narrative reversal
The story is pivoting from 'AI automates away consulting' to 'AI drives managed-services demand,' with the Radisson agentic-commerce win as concrete proof. For a steady-compounder whose bear case was AI disruption, that narrative flip is the biggest sentiment lever available.
m58
27% one-month rip and relative-strength framing
Financial media is now writing ACN as the winner versus IBM on dividends and valuation. That kind of comparative tailwind pulls generalist and income flows into the name and reinforces the momentum already in the tape.
m40
Capital-return signal well received
The $2B buyback and dividend hike drove a 5.9% single-day move and reset the tone. Buyback announcements are pure sentiment fuel for defensive compounders and give bulls a floor narrative.
m28
Risk-on tape, moderate beta fit
Risk-on regime with VIX 15 is mildly supportive, but ACN's 1.07 beta and defensive profile mean the tape is a light push, not a strong one. It helps rather than drives.
Headwinds 2
m30
Rates and market-multiple drag
10y at 4.69% and a 25.7 market PE keep a low-grade discount on all equities and cap how far a services-multiple can re-rate. Real but ordinary crosswind for a name like this.
m25
Valuation-caution headlines lingering
Pieces still flag ACN as 'overvalued' on multiples despite the DCF discount, keeping some skeptical flow on the sidelines and muting the melt-up.
Net tailwind, moderate. The AI-disruption bear narrative that was suppressing this name is visibly cracking, the tape is cooperating, and capital returns plus IBM-vs-ACN framing have given generalists an easy long. It is not a mania - intensity is moderate, cult is low, and rates plus valuation chatter keep a lid on - but the direction of pressure is clearly up and the momentum is fresh enough to persist for weeks unless a macro shock or a peer print breaks it.
Verify before trusting this (4)
  • Whether sell-side target revisions follow the price move or stay flat (a tell that the rally is retail/momentum, not institutional)
  • Any client-budget commentary from peers (IBM, Infosys, Cognizant) that could revive the AI-disruption narrative
  • Signs the risk-on regime holds beyond its 1-day print; a VIX spike would hit the momentum leg hardest
  • Next quarterly bookings print - a soft managed-services number would puncture the AI-demand story fast
The market-wide tape + this name's exposure to it (beta / sector / narrative durability). Context on the non-fundamental pressure — not a call on the business or the price. processId: detail-general-sentiment
AI Impact
+2
Genuinely unresolved — demand tailwind versus a labor-priced revenue unit
opp √Σ 72 · thr √Σ 39 · conf 6/10

AI reaches Accenture on both sides of the same P&L line: demand-side it creates a large, multi-year integration and data-remediation program that only firms with existing enterprise access can execute, and Accenture is visibly winning that share; supply-side it attacks the cost basis of the very work it sells, because roughly half of revenue is managed services and offshore delivery whose price is anchored to headcount and labor arbitrage. Gross margin has sat at ~32% and operating margin ~15% for five years, which is the empirical signal that in a bid-driven services market productivity gains historically pass through to clients rather than to shareholders. So the decisive question is not capability — Accenture will ship good AI work — but whether it can re-price from time to outcome before AI-native, low-headcount challengers and hyperscaler/model-vendor professional services arms reset the reference price for a transformation program.

AI opportunities 3
m58
Underlying Need Persistence
Large enterprises will keep needing outside capacity and accountability to change complex systems.
m37
Responsibility Transfer
Accenture is genuinely paid to own risk on programs no CIO wants on their own neck.
m20
AI Intermediation Position
Today agents reach the enterprise through integrators; tomorrow model vendors may sell the last mile directly.
AI threats 2
m25
AI Margin Conversion
History says services productivity gains are competed away in the bid, not banked.
m30
Revenue Unit Durability
The unit sold — people-hours and FTE-priced managed services — is the most AI-deflatable unit in the model.
Accenture is the world's default AI integrator selling into an order book priced in human hours — own it only if you see revenue per employee inflecting, because that is the single number that separates the compounder story from slow deflation. Exposure is near the top of the pool (90) with position sitting almost exactly at neutral (47) and a deliberately wide 22–76 range: the demand tailwind is real and share gains (+3.5% vs industry) confirm it, but five years of flat ~32% gross and ~15% operating margin prove this firm has never kept its own productivity gains. The unlock is repricing from hours to outcomes and assets — watch revenue per employee against headcount and any renewal-cycle price resets in FTE- or transaction-based managed services, which will show up in bookings quality long before it shows in reported revenue. If margin breaks above 16% while headcount flattens, the bull case is live; if managed-services renewals reprice down, the annuity everyone calls defensive is the thing that cracks first.
Verify before trusting this (8)
  • Mix shift to outcome-based pricing
  • Per-transaction BPO price resets
  • Bookings-to-revenue conversion lag
  • Headcount trend versus revenue
  • Revenue per employee trajectory
  • Share of asset/platform-based delivery
  • Gross margin above 33%
  • Operating margin above 16%
The structural effect of the AI wave on this specific business over the next ~5 years — demand, cost leverage, moat, barriers to entry, position in the AI stack. The reality beneath the AI story, not the story's market pressure (General Sentiment owns that) — and not a call on the business today or the price.
Growth Outlook
+6
Growing
edge √Σ 105 · risk √Σ 98 · conf 7/10

Enterprise technology spend is being redirected rather than expanded: budgets shift from discretionary transformation programs toward AI-enablement, data readiness and cost-takeout outsourcing. That mix shift favors the largest integrators with global delivery scale and existing Fortune 500 relationships, which is why a 3% industry supports a 7% ACN. The open question the world has not yet answered is whether AI ultimately expands the addressable scope of integration work or deflates its price; today it expands scope, but the labor-hours business model is the exposed surface. Macro is a modest brake on discretionary consulting, not a demand collapse — this is a steady, not cyclical-trough, backdrop.

Growth drivers 4
m65
Share gain inside a mature category
Recent revenue YoY 7.4% vs industry ~3.9% (industry CAGR 2.9%) — a +3.5pt gap. Scale, global delivery centers and Fortune 500 vendor consolidation mean ACN absorbs work from smaller integrators and in-house teams whenever clients rationalize suppliers. This is the single most reliable forward mechanism: growth does not require the category to accelerate.
m56
Managed services / operations backlog
A large share of revenue is multi-year outsourced operations and application management, which converts booked backlog into revenue on contract schedules rather than on discretionary budget cycles. This is why revenue volatility is only ~3% and all measured years are positive — the base is visible 2-4 quarters out.
m48
AI/data build-out as billable enterprise work
Enterprise AI deployment requires exactly what ACN sells — data estate cleanup, platform integration, change management, security. Company-specific edge: it is the counterparty hyperscalers and ERP vendors route implementation demand to, so model-layer disruption arrives as project scope rather than as substitution, at least while deployments are bespoke.
m36
Tuck-in acquisition cadence plus FCF engine
FCF CAGR 9.9% vs revenue CAGR 4.25% shows cash conversion outrunning the top line, funding a steady stream of capability acquisitions that add inorganic points to growth and refresh the service mix without straining the balance sheet.
Growth risks 5
m61
Earnings growing slower than revenue
Matched-quarter YoY: revenue +6.6%, operating income +4.5%, net income +1.8%. That is negative operating leverage — pricing/mix pressure plus reinvention, severance and headcount-reskilling costs. If this persists, EPS growth relies on buybacks rather than the business, and the multi-year earnings CAGR of 5.7% is not repeatable.
m48
Quarterly trend decelerating
The revenue confidence read explicitly flags a decelerating quarterly trend even as the YoY level stays mid-single-digit. Consulting-type (discretionary) work is the swing factor and it decays first when client budgets tighten; the growth call rests on managed services holding the floor.
m38
Public-service / federal budget exposure
A meaningful revenue block sits with government clients where procurement reviews and contract descopes hit quickly and are not offset by commercial demand. This is a known drag on the growth rate rather than a tail risk.
m41
AI deflation of the pyramid model
Revenue is priced off human effort. If code generation and agentic tooling compress hours per deliverable faster than volume expands, ACN must win more scope simply to stand still — a genuine structural threat to the years-2-3 rung even if near-term prints are fine.
m23
Macro headwinds and FX
10y at 4.69 with a flagged headwind backdrop pressures client capex approvals; a large non-USD revenue base makes reported growth partly a currency outcome outside management's control.
vs expectations: ~6m inline · 1y inline · 2-3y above
The forward growth verdict — is the business itself likely to grow (next 2 quarters / year 1 / years 2–3), judged against its category and against printed expectations. The full horizon ladder + creme renders on the Growth Outlook card above. Not a call on the price (Valuation owns that) or the tape (Sentiment owns that).
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Lenses kept deliberately separate — Company Quality (price-agnostic), Valuation (price-conditional), General Sentiment (non-fundamental macro/narrative pressure), AI Impact (structural ~5yr AI exposure), and Growth Outlook (the forward growth verdict). The scores are not blended. Filing-level items (convertibles, lock-ups, customer concentration) are v2 — see each lens's "verify."
Price Prediction
Higher +11.1% v0.6.0 View full prediction →

When we made this prediction on Aug 23, 2026, ACN was $185.26. We expect it to be $205.75 by Feb 2027, and we consider it great value under $165.00. This is an early model (v0.6.0) — the direction is more reliable than the exact price. Made Aug 23, 2026.

Price when predicted$185.26
Our estimate for Feb 2027$205.75+11.1%
Great value below$165.00
Price history shown (6 Months)

Blue is our prediction, starting the day we made it. Grey is a slower route to the same place — the same destination, taking longer. Black is the actual price, so you can see how we are doing.

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My Notes personal — only you see this
v1.1.562 · 9b2927c4 · 2026-08-22 16:52:06