Endava (DAVA) Q3 2026 Earnings Transcript

Endava reported Q3 revenue of GBP 178.5 million, down 8.4% year over year, with a GBP 372 million loss before tax driven by a GBP 364.6 million goodwill impairment. Adjusted diluted EPS fell to 5p from 34p, adjusted free cash flow was negative GBP 3.1 million, and management cut Q4 and FY2026 guidance on slower pipeline conversion, weaker discretionary demand, and conflict-related delays in the Middle East. Offsetting some of the weakness, AI-driven revenue rose to 15% of sales (GBP 27 million) and the company highlighted higher margins in that segment, but near-term fundamentals remain under pressure.

Analysis

The key read-through is not simply that Endava is in a cyclical slump; it is that the business is being re-rated as a transition story with weaker visibility and a lower-quality revenue mix. The market should increasingly discount any “AI pivot” narrative until it shows up in conversion, because the current mix shift is still dilutive at the operating level: higher retraining costs, lower utilization, and longer sales cycles are overwhelming the margin benefit from the new work. That combination is dangerous for a services model because it creates the worst of both worlds — declining legacy run-rate and delayed replacement revenue — which usually keeps earnings multiples compressed for several quarters.

Second-order beneficiaries are the AI platform and payment-stack partners rather than Endava itself. The firms that own the underlying workflow, cloud, identity, and payments rails can absorb more of the value capture as clients insist on measurable outcomes and shorter implementation paths; that structurally favors hyperscalers and payment networks over mid-tier integrators. The strategic partnerships are directionally positive, but they also signal that Endava is leaning on ecosystems it does not control, which can improve lead generation without necessarily restoring pricing power.

The bigger risk is balance-sheet optionality. Borrowings rising to fund buybacks while free cash flow turns negative is a poor setup when refinancing is approaching in fiscal 2027 and guidance still points to revenue contraction. If cash conversion does not normalize by the next quarter, the equity story shifts from “temporary execution issue” to “deleveraging overhang,” which can cap any multiple recovery even if the AI pipeline improves. The most probable catalyst to reverse sentiment is not another partnership announcement; it is a clean quarter with receivables collection, evidence that outcome-based deals are converting faster, and no further guide-downs.

Contrarian take: the selloff may be partially overdone in the very short term because a large part of the impairment is noncash and the AI service mix is genuinely higher margin on a per-contract basis. But the market is likely right to penalize the stock until management proves that higher-quality revenue can scale fast enough to offset the legacy decline. That makes this a classic “show me” name, not a buy-the-dip setup.

Key Decisions for Investors

• Short DAVA on any post-earnings bounce; 1-3 month horizon. Thesis: slower conversion and weak cash generation keep the stock de-rated; risk is a temporary squeeze if receivables release boosts next-quarter FCF.
• Pair trade: long GOOGL / short DAVA for 2-4 months. Rationale: DAVA is increasingly dependent on hyperscaler-led demand, but GOOGL captures more of the AI workflow economics and has better pricing power; watch for partnership headlines as squeeze risk.
• Avoid adding to DAVA until the next reported quarter confirms positive free cash flow and stable guidance. Entry timing matters here; the setup is momentum-negative until working capital normalizes.
• For event-driven traders, consider a small long-dated put spread in DAVA if the stock rebounds into refinancing chatter. Risk/reward favors downside continuation if the market starts pricing in 2027 leverage stress.
• Relative value: overweight MA and NWG versus DAVA in fintech-adjacent exposure. Payments incumbents should benefit if enterprise modernization shifts toward larger strategic platforms and away from discretionary consulting spend.