Accenture (ACN) Q2 FY26 earnings call: guidance and Q&A

What quantitative evidence should investors look for to substantiate Accenture's claim as a net beneficiary of AI?

Julie Sweet explained that AI permeates all aspects of their business, making it difficult to isolate. Key metrics include market share gains, overall growth, and the performance of partnerships with large ecosystem players and emerging AI partners. The number of clients initiating AI projects is also a key indicator, with metrics evolving over time.

“at this point in our business, AI is permeating everything we do because it either is driving why clients are actually doing things like moving to the cloud, but when we're doing something that isn't specific AI, they are looking at our AI credentials because everything is aimed to get to AI.”

asked by Jason Kupferberg · answered by Julie T. Sweet

Given accelerating consulting bookings and easier Q4 comparisons, is the upper end of the full year 3-5% revenue growth range a plausible outcome?

Angie Park stated that the 3-5% (or 4-6% excluding Federal) guidance is their best view. She highlighted strong record bookings of $22 billion and the third consecutive quarter of $20 billion+ bookings. She confirmed that the company aims for the top end of the range and expects the U.S. Federal headwind to anniversary in Q4, leading to growth.

“the 3% to 5% guide for the full year, which is really 4% to 6% excluding Federal, is our best view based upon what we see today. We had bookings that were really, really strong at $22 billion, which were actually a record for us this quarter, and it's our third consecutive quarter of $20 billion of bookings or more.”

asked by Jason Kupferberg · answered by Angie Park

Is there a correlation between the rapid improvement of frontier AI models and Accenture's bookings growth and conversion to revenue?

Julie Sweet used a car engine analogy, explaining that improving models are powerful engines but require integration and components to run. She noted that while there isn't a direct correlation to immediate bookings, better models create new opportunities for solutions, such as enabling more complex Agentic AI workflows, which then drive new work.

“when the models come out, there isn't a direct correlation to bookings or new work, but what it does is create the next opportunity for us to look at what are the solutions that it's going to now create.”

asked by Tien-Tsin Huang · answered by Julie T. Sweet

How would you characterize the mix of advanced AI work between growth/revenue-generating use cases and efficiency-led use cases?

Julie Sweet indicated that while 78% of C-suite executives now believe growth will be the biggest value from AI, efficiency-led programs still dominate the current mix. She noted an uptick in growth-focused AI programs, with conversational and Agentic commerce being the most exciting area for growth, representing a new market opportunity.

“So, we are absolutely seeing an uptick in growth-focused AI programs, but efficiency is still leading the way. I will tell you that the most exciting area right now on growth is conversational and Agentic commerce. Demand is surging there.”

asked by Tien-Tsin Huang · answered by Julie T. Sweet

What are Accenture's headcount growth expectations and strategy, particularly in relation to AI and any changes in linearity?

Angie Park stated that headcount is expected to increase in the second half of the year, continuing the talent rotation strategy. Julie Sweet added that the relationship between revenue and headcount has not been linear since 2015 due to automation, and this decoupling is factored into their guidance.

“By linearity, if you mean the sort of revenue and headcount, I just would remind you that we really have not had a linear relationship since around 2015, when RPA, when automation really came in. And so we would expect to continue to believe that disconnecting, and that's what's baked into our guidance.”

asked by Darrin Peller · answered by Julie T. Sweet

How does Accenture respond to concerns that AI tools are compressing project timelines (e.g., SAP ERP migration) and reducing the TAM for systems integration work?

Julie Sweet explained that Accenture's strategy is to embrace technology that brings more value to clients faster. She believes that making the technical piece of projects like ERP or mainframe modernization faster actually leads to more work, as it frees up clients to invest in other areas and tackle broader transformations. She cited collaboration with Palantir and SAP to develop these products.

“in general, you should think about our strategy is always that the more that we can use technology to bring more value to clients faster, the better it is for our business. And that's the strategy you've seen us execute ever since RPA really burst on the scene in 2015”

asked by Jonathan Lee · answered by Julie T. Sweet

Are large clients early adopters of AI and big transformational projects, while mid-sized companies are in a wait-and-see mode, suggesting a future swell of spending from mid-market?

Julie Sweet noted that some smaller companies are also spending significantly on AI, which is why Accenture is focusing more on the mid-market. She views the high number of large client bookings as a reflection of the extensive reinvention needed by large enterprises, where AI acts as a catalyst. She sees a long funnel of work for both large and small clients, particularly as advanced AI becomes applicable to areas like modern ERP systems and core operations.

“I don't see it developing quite that way because actually some of the smaller companies are spending a fair amount, like that's where there's a lot of growth, and it's one of the reasons we're focusing even more on the mid-market and made a few acquisitions there to fuel that organic growth.”

asked by David Koning · answered by Julie T. Sweet