ACN · Q2 2026 Earnings

Bullish

Accenture

Reported March 19, 2026

30-second summary

30-second take: Q2 revenue of $18.04B (+4% LC, $40M above the high end of the $17.35–18.0B guide) and $22.1B in record bookings let management raise the FY26 LC growth floor to 3% (from 2%), lift adjusted EPS to $13.65–13.90 (from $13.52–13.90), and hike the FY26 FCF guide by a full $1B at both ends to $10.8–11.5B. The single biggest signal is capital deployment: planned FY26 M&A spend was lifted from ~$3B at the Q4 print to ~$5B, with management saying they have "capacity to do more" — a posture shift after three quarters of cautious organic-growth framing. The federal headwind anniversaries at the end of Q3 and Advanced AI bookings disclosure is now retired; the bull case is execution + capital return + AI-as-architecture, with Middle East and federal as the named tail risks.

Headline numbers

EPS

Q2 FY2026

$2.93

Revenue

Q2 FY2026

$18.04B

+4.0% YoY

Gross margin

Q2 FY2026

30.3%

Free cash flow

Q2 FY2026

$3.67B

Operating margin

Q2 FY2026

13.8%

Key financials

Q2 FY2026

Metric	Q2 FY2026	YoY	Q1 FY2026	QoQ
Revenue	$18.04B	+4.0%	$18.74B	-3.7%
EPS	$2.93	—	$3.94	-25.6%
Gross margin	30.3%	—	33.1%	-280bps
Operating margin	13.8%	—	15.3%	-150bps
Free cash flow	$3.67B	—	$1.51B	+143.0%

Guidance

Guidance is issued for both next quarter and the full year. Both may appear below.

Actuals vs prior guidance

Metric	Period	Prior guide	Actual	Δ	Result
Revenue	Q2 FY2026	$17.35B to $18.0B	$18.04B	+$0.04B above high end	Beat
Revenue growth (local currency)	Q2 FY2026	1% to 5%	4%	in-line (midpoint of range)	Met

Changes to prior guidance

Metric	Period	Prior guide	New guide	Δ	Result
Adjusted EPS	FY2026	$13.52 to $13.90	$13.65 to $13.90	+$0.13 at low end	Raised
Adjusted EPS growth	FY2026	5% to 8%	6% to 8%	+1pt at low end	Raised
Revenue growth (local currency)	FY2026	2% to 5%	3% to 5%	+1pt at low end	Raised
GAAP EPS	FY2026	$13.12 to $13.50	$13.25 to $13.50	+$0.13 at low end	Raised
GAAP EPS growth	FY2026	8% to 11%	9% to 11%	+1pt at low end	Raised
Operating Cash Flow	FY2026	$10.8B to $11.5B	$11.5B to $12.2B	+$0.7B at high end, +$0.2B at low end	Raised
Free Cash Flow	FY2026	$9.8B to $10.5B	$10.8B to $11.5B	+$1.0B at low end, +$1.0B at high end	Raised

Reaffirmed unchanged this quarter: Revenue growth excluding federal impact (local currency) (4% to 6%), Adjusted Operating Margin (15.7% to 15.9%)

Segment performance

Q2 FY2026

Segment	Q2 FY2026	YoY
Consulting	$8.86B	+3.0%
Managed Services	$9.18B	+5.0%
Communications, Media & Technology	$3.09B	+10.0%
Financial Services	$3.4B	+7.0%
Products	$5.48B	+3.0%

Platform metrics

Q2 FY2026

Segment	Q2 FY2026
New Bookings	$22.1B
Clients with >$100M Quarterly Bookings	41
Days Services Outstanding (DSO)	46 days

Profitability

Q2 FY2026

Segment	Q2 FY2026
Operating Margin	13.8%
Gross Margin	30.3%
Free Cash Flow	$3.7B

Other KPIs

Q2 FY2026

Segment	Q2 FY2026	YoY
Americas	$8.9B	+3.0%
EMEA	$6.57B	+2.0%
Asia Pacific	$2.58B	+10.0%
Capital Returns	$2.7B	—
Share Repurchases	6.8M shares for $1.7B	—

Management tone

Customer optimization hangover → AI experiments → AI-driven re-acceleration → AI as architecture + aggressive capital deployment.

Three quarters ago AI monetization was framed as an emerging opportunity bears could legitimately question; last quarter Advanced AI bookings were retired with management calling the metric "less meaningful"; this quarter Sweet escalated the framing all the way to "AI, as it stands right now, may turn out to be the most powerful technology breakthrough since electricity." That is the most expansive language the CEO has used on this call in any prior brief. The shift from a discrete bookings line to a multi-decade transformation narrative is doing real work — it justifies the M&A step-up, the elevated multiples management says they're paying for product-led assets, and the reaffirmed margin guide despite the FY revenue floor moving up.

M&A posture changed materially. At the Q4 FY25 print, management guided ~$3B of FY26 acquisition spend; this quarter Park said "we now expect to deploy $5 billion in acquisitions this fiscal year with capacity to do more for the right opportunities." That's a 67% step-up in deployment plan inside two quarters, with the inorganic contribution to revenue held at ~1.5% — implying management is buying capability and IP (Faculty, Ookla), not revenue. The pivot to "licensing and subscription" commercial models that Lee from Guggenheim drew out is the substantive justification for paying higher multiples.

The production-vs.-POC narrative crossed a threshold. Last quarter Sweet emphasized clients carrying "process debt and data debt" requiring services-heavy AI deployment; this quarter the framing was "clients moving from proofs of concept to production, while others are still at the beginning of their journey with another 100 clients or so initiating advanced AI projects with us this quarter." The "100 new clients per quarter" cadence is the cleanest quantitative replacement Sweet has offered for the retired Advanced AI bookings line.

Confidence on guidance sits at a multi-quarter high despite a named Middle East risk. The hedging language ("based upon the information we have today," "does not take into account a significant escalation") is more explicit than prior calls but the underlying guide raise is broad-based — revenue, EPS, OCF, FCF all up. Management is acknowledging the tail risk while running the operating plan as if it won't materialize, which is a different posture than the explicit federal-headwind embedding from Q4.

The mainframe and legacy-modernization TAM was reframed as newly addressable. Sweet: "For decades, parts of the technology stack, like the mainframe, have been considered too complex or too costly to modernize. Today, advanced AI and new hardware capabilities are making mainframe modernization feasible, which we believe will open this major services market." This is the first time management has explicitly framed AI as unlocking new addressable services market rather than just embedding into existing engagements — a TAM-expansion argument that directly answers the bear thesis of AI compressing services pricing.

Recurring themes management leaned on this quarter:

AI-embedded enterprise systems as core platform for value deliveryProduction deployments scaling across advanced AI projects (moving beyond POCs)Agentic AI as catalyst for contact center and customer experience transformationNon-FTE subscription and licensing revenue expansion through acquisitionsMainframe and legacy core operations modernization unlocked by AIEcosystem partnership acceleration with Palantir and emerging AI players

Risks management surfaced:

Middle East conflict and potential escalation with major economic disruptionU.S. federal business headwinds (2% revenue impact estimated for H2)Foreign exchange volatility (though currently a tailwind at +2.5% estimated for FY26)Macro uncertainty as clients finalize calendar 2026 budgetsUnknown impact of rapid AI technology evolution on engagement requirements

Q&A highlights

Jason Kupferberg · Wells Fargo

What quantitative evidence should investors look at to determine if Accenture is a net beneficiary of AI? Additionally, given accelerating consulting bookings and easier Q4 comparisons, is the upper end of the 3-5% full-year revenue guidance (4-6% ex-federal) achievable?

Management stated AI is permeating everything Accenture does and the key metrics to track are: market share gains, overall growth relative to competitors, growth with major ecosystem partners vs. emerging players, and the number of companies initiating AI with Accenture. Regarding guidance, management reaffirmed the 3-5% range (4-6% ex-federal) as their best view based on strong $22B record bookings and three consecutive quarters of $20B+ bookings. They aim for the top of guidance and will benefit from anniversaring AFS headwind in Q4.

$22 billion record bookings this quarterThird consecutive quarter of $20 billion or more in bookings3% to 5% full-year revenue guidance (4% to 6% excluding federal)AI is driving why clients move to cloud

Tin Jin Wong · J.P. Morgan

Is there a correlation between frontier model improvements and Accenture's bookings growth and revenue conversion? Also, how is the mix of AI work shifting between efficiency-led vs. growth-led use cases?

Management clarified there is no direct correlation between model releases and bookings, as models are engines that require integration with solutions. Better models fuel new opportunities (e.g., moving from summarization to agentic workflows). On use case mix, while 78% of C-suite surveys indicate growth will be the biggest value driver, efficiency use cases currently lead revenue contribution due to technology maturity. Growth-focused AI is rising, particularly in conversational and agentic commerce where demand is surging.

78% of C-suite respondents believe growth will be the biggest AI value driverEfficiency-led AI work still leading revenue contribution currentlyConversational and agentic commerce demand is surgingNo direct correlation between frontier model releases and bookings

Kevin McVeigh · UBS

How does the $5 billion M&A pipeline (up from $3 billion) translate to inorganic growth contribution? What is the relative contribution and scalability of emerging AI partners (Anthropic, Databricks, NVIDIA) vs. established ecosystem partners?

Management stated the $5B M&A pipeline has potential to grow further, with expected inorganic contribution remaining at ~1.5%, driven by timing of acquisition closures. Regarding partner mix, management sees strong growth across both large ecosystem and emerging partners. As AI models improve, deployment opportunities expand, enabling new enterprise solutions (e.g., KYC in banking, mainframe code conversion) that benefit all partners collectively.

$5 billion M&A pipeline (potential for more)~1.5% inorganic revenue contribution expectedStrong growth with both large ecosystem partners and emerging playersNew AI-enabled solutions in KYC and mainframe modernization

Darren Peller · Wolf Research

What are Accenture's headcount growth expectations and strategy? Has the linearity between revenue and headcount changed due to AI or broader environmental factors?

Management expects headcount to increase in the second half, continuing talent rotation initiated at fiscal year start. Regarding linearity, management emphasized that the non-linear relationship between revenue and headcount has existed since ~2015 with RPA automation and is expected to continue. This dynamic is baked into guidance and reflects technology-driven efficiency gains.

Headcount expected to increase in H2Continuation of talent rotation strategy started FY2024Non-linear revenue-to-headcount relationship since ~2015 baked into guidanceDisconnect driven by automation and technology efficiency

Jonathan Lee · Guggenheim Partners

What's driving the $5B M&A step-up (from $3B) - is it larger assets, higher multiples, or a shift toward IP-led deals? How does Accenture respond to AI compression of project timelines (e.g., 2-week SAP migrations) that could reduce TAM and rate cards?

Strategy is expanding TAM into higher-growth areas (data infrastructure, defense, public sector, education) and addressing unmet market demand through product acquisitions (e.g., Faculty's decision intelligence, Ookla's data). Management is intentionally paying higher multiples for higher-growth, higher-margin assets and new commercial models (licensing/subscription vs. FTE-based). On timeline compression, management views faster technical execution as positive, enabling more change management and process work, resulting in net growth (multi-year transformation rather than point projects).

Strategy focuses on higher-growth TAM expansion areasIntentionally paying higher multiples for strategic capabilitiesNew commercial models include licensing and subscription (e.g., Ookla acquisition)Faster AI-driven technical delivery expands total work opportunity

Answers to last quarter's watch list

Q2 LC growth vs. 1–5% guide — Q2 landed at +4% LC, in the upper half of the band and $40M above the dollar high end of $18.0B. With FX at +2.5%, the USD print did not mask weakness — both LC and USD prints support the back-half-loaded deceleration narrative rather than accelerating macro drag.

Resolved positively

Adjusted operating margin trajectory after Q1's 17.0% — Q2 GAAP operating margin was 13.8%, with the FY26 adjusted guide of 15.7–15.9% reaffirmed and management explicitly reiterating 10–30bps expansion. Management did not break out the Q2 adjusted margin in the figures provided here, but the unchanged FY guide combined with the FCF and OCF raises signals the business optimization charge tail is on plan.

Continue monitoring

New AI disclosure framework — No new quantitative metric replaced the Advanced AI bookings line. Management substituted qualitative anchors: "another 100 clients initiating advanced AI projects this quarter," $22B record bookings as the omnibus signal, and specific deployment examples (Estee Lauder, Radisson). This is the bearish-for-transparency outcome flagged at Q1.

Resolved negatively

Federal contribution at the Q3 anniversary — Management confirmed federal headwind anniversaries at end of Q3 FY26 and the FY ex-federal guide was raised from 3–6% to 4–6% LC, implying the federal drag is narrowing roughly as planned. No discrete federal bookings or revenue datapoint was disclosed for Q2.

Continue monitoring

DSO and FCF conversion — DSO dropped to 46 days from 51 at Q1, a 5-day improvement. Q2 FCF of $3.67B and the FY FCF guide raise of $1B at both ends to $10.8–11.5B is decisive — the working capital reversal more than absorbed the Q1 extension.

Resolved positively

Revenue per person normalization — RPP was not broken out in the extraction for this quarter; Park confirmed headcount will increase in H2 and reaffirmed the structural revenue-headcount disconnect. The reaffirmed margin guide is the indirect signal that RPP is holding, but without the explicit number this is unresolved on its terms.

Continue monitoring

What to watch into next quarter

Q3 LC growth landing in the upper half of 1–5% band: Q3 is the final federal headwind quarter; landing ≥+3% LC is consistent with the FY 3–5% raise. A print at the low end (~+1–2%) would force a Q4 hockey stick of +5%+ to hit the FY midpoint and put the raise at risk.

M&A deployment cadence: management committed to ~$5B with "capacity for more" — watch whether H2 closings track to that run rate (~$3.5B remaining from $1.5B implied H1) or slip. A miss on deployment pace with inorganic held at 1.5% would suggest the larger budget is aspirational, not contracted.

Operating margin print vs. 15.7–15.9% FY guide: Q2 GAAP was 13.8%. With FY guide reaffirmed and Q3/Q4 historically lower than Q1's seasonal peak, watch whether Q3 adjusted margin comes in above 15.5% (consistent with FY range) or below (signaling the optimization charge tail extends past plan).

Federal anniversary read at the Q3 print: management has guided this as the last headwind quarter. Watch for explicit quantification of federal bookings or revenue trajectory in Q3 — without it, the FY ex-federal 4–6% guide is hard to validate.

Bookings momentum vs. $22.1B record: three consecutive quarters of $20B+ bookings is the cleanest leading indicator. A Q3 print below $20B would break the streak and pressure the FY top-end thesis; sustained $20B+ with stable book-to-bill is the bull case anchor.

Disclosure of an AI-related quantitative replacement metric: management has now had two quarters to introduce a replacement for the retired Advanced AI bookings line. If Q3 still relies on "100 new clients" cadence and qualitative anchors, the disclosure regression is structural — and bears get a legitimate transparency lever.

Sources

Accenture Q2 FY2026 Form 8-K Earnings Release Exhibit — https://www.sec.gov/Archives/edgar/data/1467373/000146737326000013/q2fy26earnings8-kexhibit.htm
Accenture Q2 FY2026 earnings call prepared remarks and Q&A (CEO Julie Sweet, CFO Angie Park)

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