DAVA Q2 2026 Earnings Analysis
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Key Highlights
- Revenue and earnings analysis for Q2 2026
- Key financial metrics and performance indicators
- Management guidance and outlook commentary
- Market position and competitive analysis
- AI-generated insights and analysis
Transcript
// Full episode scriptBeta Finch Podcast Script: Endava (DAVA) Q2 2026 Earnings
Welcome to Beta Finch, your AI-powered earnings breakdown where we dive deep into the numbers that matter. I'm Alex, and I'm here with my co-host Jordan to break down Endava's Q2 2026 earnings call. Before we jump in, I need to mention that this podcast is AI-generated content for educational and entertainment purposes only. Nothing we discuss should be considered investment advice. Always do your own research and consult a qualified financial advisor before making any investment decisions.
Thanks Alex. So Endava - ticker DAVA - reported their Q2 results and honestly, it's a mixed bag with some pretty interesting strategic shifts happening. Let's start with the headline numbers, which weren't exactly stellar.
Right, so revenue came in at £184.1 million, which was actually above their guidance range, but that's still down 5.9% year-over-year. On a constant currency basis, it was down 5.1%. The sequential growth from Q1 was positive at 3.3%, which is something.
But here's where it gets concerning - they moved from a profit to a loss before tax. We're talking about a £7.2 million loss compared to a £2.5 million profit in the same quarter last year. Adjusted diluted EPS fell pretty dramatically from 30p to 16p.
And the margins took a hit too. Adjusted PBT margin compressed from 11.2% to 5.8%. But here's the key context - management is saying about 3% of that margin compression is directly due to their heavy investments in AI-native talent and delivery models.
Which brings us to the big story here - their complete pivot toward AI. CEO John Cotterell is positioning this as a foundational shift, not just a nice-to-have add-on. They're calling it "Dava Flow" - their AI-native engagement lifecycle that they claim is delivering faster results for clients.
The examples they gave were pretty compelling. They talked about helping a global payments network automate a chargeback dispute system that currently requires over a thousand people to run. Using AI to read thousands of pages of rule books and turn them into automated logic - if that works at scale, that's massive efficiency gains.
And they had another case study with a global specialty insurer where they set up what they called a "ring-fenced incubator" inside the organization. They claim they stood up a fully operational AI-native workflow in just three weeks. That's the kind of speed that could be a real differentiator.
Let's talk about the guidance because this is where it gets interesting. For Q3, they're expecting revenue between £182-185 million, which on a constant currency basis is still down 4% to 2.5% year-over-year. But here's the kicker - they're expecting nice sequential growth in Q4.
Yeah, CFO Mark Thurston broke this down in the Q&A. He said Q3 looks flat but there are FX headwinds of about 1.5% and fewer working days creating another 3% headwind. So underlying growth in Q3 is actually about 4%. Then Q4 should see about 6% underlying sequential growth.
The regional breakdown was telling too. North America down 5.1%, Europe down 8.5%, UK down 9.1%. But rest of world was up 21.8%, driven by payments and TMT verticals. So there's clearly geographic variation in demand.
What caught my attention was their partnership strategy. They're not just talking about AI in abstract terms - they've got concrete partnerships with OpenAI, AWS, Google Cloud, Microsoft Azure. And they mentioned extending commitments with their two largest payments clients, which provides some revenue stability.
The OpenAI partnership seems particularly strategic. They're one of the official services partners, and they're seeing demand as clients scale from proofs of concept to enterprise-wide deployment of Enterprise ChatGPT. They even landed Entain, one of the world's leading betting and gaming operators, for enterprise-wide ChatGPT enablement.
But let's address the elephant in the room - there's been market chatter about AI potentially displacing services companies. When this came up in the Q&A, Cotterell pushed back pretty hard. He argued that enterprise AI adoption is much more complex than consumer-level implementations.
His point was that enterprises need governance, regulatory compliance, integration with legacy systems - stuff that out-of-the-box AI solutions can't handle. That's why they created Dava Flow as essentially a replacement for Agile methodology, designed for human-to-machine interactions rather than human-to-human.
The cash flow story is solid - £20.1 million in adjusted free cash flow, and they're actively returning capital through share buybacks. They've repurchased about £122 million in shares and have £28 million remaining in their authorization.
Looking ahead, I think the key question is whether these AI investments will pay off. They're clearly sacrificing near-term profitability - that 3% margin hit from AI investments is meaningful. But if they can establish themselves as a leader in AI-native delivery, the long-term upside could be significant.
The guidance assumes some recovery in Q4 based on deals they've already secured, but management acknowledged the market remains uncertain. The guidance ranges are pretty wide, which suggests they're being cautious about visibility.
One thing that stood out was their shift toward outcome-based pricing models. Cotterell mentioned that new business is shifting quite strongly to outcome-based solutions with AI supporting the delivery of those outcomes. That could provide better margin upside if they execute well.
But it also increases execution risk. With outcome-based contracts, they're essentially betting on their ability to deliver measurable results. If the AI investments don't translate to better client outcomes, those contracts could work against them.
The payments vertical seems to be a bright spot. They secured several notable wins, including being selected to design and build a cloud-native cross-border payment switch for NexSys Global Payments. Real-time payments architecture is clearly a strength.
Overall, this feels like a company in transition. The near-term financials are pressured by heavy investments, but they're making strategic bets that could position them well for the AI transformation wave. The question is whether they can execute and whether demand for AI-native services will develop as quickly as they're anticipating.
For investors, this is definitely a "show me" story. The AI strategy sounds compelling, but we need to see revenue growth return and margins stabilize. The fact that they maintained guidance despite the challenging environment suggests management has confidence in the pipeline.
And before we wrap up, remember that everything we've discussed today is AI-generated analysis for educational purposes. Past performance doesn't guarantee future results. Please do your own due diligence.
That's a wrap on Endava's Q2 2026 earnings. A company clearly betting big on AI transformation, with near-term pain but potential long-term gain. We'll be watching to see how this strategy plays out. Thanks for listening to Beta Finch, and we'll catch you next time.
Until next time, keep those portfolios diversified and those research skills sharp! --- *[Total word count: approximately 1,150 words, estimated 6-7 minute read time]*