Executive Summary / Key Takeaways
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Endava's aggressive pivot to an AI-native delivery model is compressing adjusted PBT margins by approximately 300 basis points while revenue declines 5-6% year-over-year, creating an "air pocket" that masks the underlying value of a business now generating over 70% of services from AI-related work.
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The company's nearshore delivery network in Eastern Europe and Latin America, historically a source of cost advantage and quality differentiation, faces mounting wage inflation and talent retention pressures that challenge its structural moat just as AI skill requirements intensify competition for specialized engineers.
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Client concentration remains a critical factor, with the top 10 clients accounting for 35% of revenue and average spend declining 7.9% year-over-year, yet recent large deal wins—including a $100 million strategic payments engagement—demonstrate that Endava's domain expertise still commands premium, multi-year commitments.
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Trading at 0.24 times sales and 3.3 times free cash flow, the market valuation reflects a cautious outlook, creating potential upside if the Dava Flow platform successfully commercializes and margins recover from their current trough of 5.8% toward historical levels above 10%.
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The investment thesis hinges on two variables: the conversion rate of Dava Flow pilot interest into larger outcome-driven programs in the second half of fiscal 2026, and management's ability to stabilize the workforce while scaling AI-native delivery.
Setting the Scene: From Agile Native to AI Native
Endava plc, founded in 2000 and headquartered in London, spent its first 25 years building a reputation as an agile-native and digital-native solution provider, carving out a niche in next-generation technology services for payments, banking, capital markets, and TMT verticals. The company's business model centered on nearshore delivery from Romania, Bulgaria, and Latin America, offering clients in Western Europe and North America access to engineering talent within favorable time zones. This positioning generated growth and healthy margins by utilizing the structural balance between Western European demand for digital transformation and Eastern European supply of technical skills.
Around 2022, management recognized a shift in the industry. The explosion of generative AI and agentic systems threatened to commoditize traditional agile delivery, while simultaneously creating an opportunity to leapfrog competitors. Endava initiated a deep cultural and operational shift to become AI-native, evolving its delivery model, forging new alliances, and redesigning client engagements around domain expertise rather than staff augmentation. This was a significant transformation touching every aspect of operations, from talent development to pricing models.
The industry structure is highly competitive. The global IT services market exceeds $500 billion, featuring large players like Cognizant (CTSH) with $19.7 billion in revenue and mid-tier specialists like EPAM Systems (EPAM) and Globant (GLOB). Endava's £772 million in fiscal 2025 revenue represents roughly 0.5% market share, placing it in a position where it must differentiate against both global giants and nimbler peers. The overarching trend is the AI shift, which management describes as exceptionally fast. This creates both opportunity—enterprises need help modernizing legacy systems to adopt AI—and risk, as productivity gains from AI could impact the billable hours model that underpins traditional services revenue.
Technology, Products, and Strategic Differentiation: The Dava Flow Platform
At the heart of Endava's transformation lies Dava Flow, an AI-native change delivery lifecycle designed to replace traditional agile methodologies by embedding AI into every activity. The platform organizes delivery into four feedback-linked phases—Signal, Explore, Govern, and Evolve—with human oversight guiding AI contributions. Early pilot engagements have shown tasks completed in minutes that previously took days, with productivity improvements reaching significant levels. In one signal session, Dava Flow gathered live inputs, ran synthetic workshops, and produced an opportunity assessment, market insights, product requirement documents, and an agent-ready backlog in just 90 minutes—work that would normally consume several weeks.
The significance lies in how Dava Flow alters Endava's value proposition and economic model. Traditional time-and-materials billing rewards volume of hours; Dava Flow's productivity gains compress delivery timelines, which can create headwinds for revenue under old billing models. The platform shifts the conversation from staffing levels to business outcomes, enabling Endava to participate in the upside of client benefits. However, this transition creates short-term friction. The investment in Dava Flow, including licensing software for partnerships with Miro and Cognition, has reduced adjusted PBT margins by approximately 3% through Q2 FY26, contributing to the reported 5.8% margin.
The strategic partnerships Endava has forged are essential infrastructure for the AI-native model. The OpenAI partnership, now in its second year, is driving enterprise-wide deployment of Enterprise ChatGPT. The expanded Cognition partnership gives thousands of Endava's engineers access to Devin, an agentic coding platform , while the Miro collaboration aims to compress decision cycles through collaborative AI workflows. These partnerships provide Endava with AI capabilities without the capital intensity of building foundational models, allowing the company to focus on integration and domain-specific applications. This suggests a more capital-efficient path to AI leadership, though it also creates dependency on partners' technology roadmaps.
Financial Performance & Segment Dynamics: Evidence of Transformation Pain
Endava's Q2 FY26 results provide evidence of the AI transformation's short-term costs. Revenue declined 5.9% year-over-year to £184.1 million, or 5.1% on a constant currency basis. The adjusted PBT margin reached 5.8% compared to 11.2% in the prior year, driven by the 3% drag from AI investments and talent development. This margin compression reveals the cost of the pivot: Endava is investing significant quarterly operating profit to build a platform that management believes will drive productivity and profitability in future years.
The segment performance reveals varying trends. Banking and Capital Markets (BCM) grew 37.4% in FY25, with strength continuing into Q2 FY26 as clients pursue core modernization initiatives. Insurance grew 12.1%, driven by AI and data science solutions for pricing and automated ingestion. Healthcare surged 103.8% due to the Galaxy acquisition, though management expects a temporary slowdown in Q3 FY26 before resuming growth. These growth segments demonstrate that Endava's domain expertise remains relevant and that clients are investing in AI-driven transformation where the ROI is clear.
Conversely, Payments declined 19% in FY25 and continues to weigh on European results, with weakness in the UK and mobility verticals contributing to Europe's 8.5% revenue decline in Q2 FY26. The TMT vertical's 13.2% FY25 decline reflects broader macro pressures and client budget constraints. These segments show Endava's vulnerability to cyclical headwinds and suggest that the AI pivot has not yet fully insulated the company from sector-specific downturns.
Geographic performance highlights FX impacts and reclassification effects. North America, now 40% of revenue, declined 5.1% in Q2 FY26 due to a 3.3% FX headwind and the loss of a significant media client. The reclassification of a large payments client from the UK to North America impacted year-over-year comparisons, affecting the UK's reported 9.1% decline. The Rest of World segment's 21.8% growth, driven by payments and TMT, provides a positive signal but represents just 6% of total revenue. This geographic mix shows Endava's attempt to diversify, though the FX impact from a weakening U.S. dollar against the pound continues to create a revenue headwind.
Client concentration remains a factor. The top 10 clients accounted for 35% of Q2 FY26 revenue, with average spend per client declining 7.9% year-over-year to £6.5 million. This decline suggests that large relationships are facing budget pressures and may be adopting productivity tools that reduce the need for traditional services. However, the recent $100 million strategic payments deal—85-90% net new revenue over five years—demonstrates that Endava can still win large engagements when its value proposition aligns with client priorities.
Outlook, Management Guidance, and Execution Risk
Management's guidance for FY26 reflects a combination of caution and conviction. Revenue is expected to decline 3.5% to 1.5% on a constant currency basis, implying a second-half acceleration to meet the £736-750 million range. Q3 FY26 guidance of £182-185 million suggests a sequential improvement but still represents a year-over-year decline. The adjusted diluted EPS range of £0.80-0.86 implies margins will remain pressured around 6-7% for the full year.
This guidance indicates that management has adjusted its methodology following prior quarters. CFO Mark Thurston noted that the guidance now excludes revenue from unsigned large strategic opportunities until contracts are executed, a response to a previous revenue miss. This conservative approach is intended to prioritize credibility.
The pipeline composition provides a basis for the outlook. For Q3 FY26, the pipeline is 95% contracted and committed at the top end of guidance, while Q4 FY26 stands at 70-75% contracted. Three large deals are signed and represent committed spend that will ramp in the second half, contributing approximately 50% of the expected revenue ramp. This shows that Endava's sales engine can land large engagements. However, the fact that half the ramp depends on converting existing pipeline in a challenging macro environment creates execution risk. If clients delay decisions due to AI uncertainty, the second-half acceleration may be impacted.
The margin trajectory is a critical factor. Management expects the 3% AI investment drag to continue through FY26, with partnership licensing costs impacting the second half. This implies that margin recovery is likely a FY27 prospect. The key question is whether Dava Flow's productivity gains will eventually balance the investment through higher utilization and value-based pricing. Early client feedback is positive regarding delivery speed and control, but the conversion from pilot interest to scaled programs remains a key milestone.
Risks and Asymmetries
A material risk is the scale required for an AI-native transformation. While larger peers have the balance sheet strength to invest through a transition, Endava's £202.7 million in borrowings against £68.5 million in cash creates a different financial profile. If the Dava Flow platform faces challenges in commercial traction or if clients resist the shift to outcome-based pricing, Endava could face pressure on margins and revenue. The 2.4% year-over-year decline in headcount to 11,385 suggests management is managing costs, but maintaining delivery capacity for the AI platform requires skilled talent.
Client concentration adds to this risk. The decline in average spend among top 10 clients shows that long-standing relationships are under pressure. If major clients were to significantly reduce their engagement, the revenue impact could be substantial given the 35% concentration. This vulnerability is higher than that of more diversified peers. A mitigating factor is Endava's domain depth in payments and banking, where switching costs are often higher. However, in a downturn, clients may favor scale players who offer end-to-end solutions.
Wage inflation in Eastern Europe and Latin America poses a challenge to the nearshore model. While Endava's delivery centers provide time zone and cultural alignment, rising salaries are impacting the cost differential versus offshore alternatives. For Endava, the implication is that the nearshore advantage must be maintained through Dava Flow's productivity gains or higher pricing to avoid margin impairment.
The competitive landscape is active as Endava manages its transition. EPAM's recent results showed EPS growth and positive revenue guidance, demonstrating that AI strategies can align with profitability. Cognizant's scale allows for significant investment in infrastructure while maintaining higher operating margins. Endava's recent quarterly net income of -$9.04 million and operating margin of -1.60% reflect the current investment phase. Management acknowledged aggressive competition for work, noting that Endava will compete actively for larger engagements. This pricing pressure, combined with productivity-driven revenue shifts, creates a challenging environment for margin expansion.
Valuation Context
Endava trades at a market capitalization of $235.8 million and an enterprise value of $475.8 million, reflecting net debt of approximately $240 million. The valuation multiples are at lower levels compared to historical norms. The price-to-sales ratio of 0.24 compares to EPAM at 1.37 and Globant at 0.80. The price-to-free-cash-flow ratio of 3.29 is also lower than peers like EPAM at 12.2 and Globant at 9.3. Even Thoughtworks (TWKS), which has faced its own challenges, trades at 1.28 times sales.
These multiples indicate that the market is taking a cautious view of Endava's future. The enterprise value to revenue multiple of 0.47 suggests the market is pricing in the current revenue decline and margin compression. This creates potential asymmetry: if Dava Flow enables a recovery to mid-single-digit revenue growth and 10% adjusted PBT margins, the stock could see a re-rating. Conversely, if the transformation takes longer or revenue continues to decline, the valuation will remain under pressure given the debt load.
The balance sheet shows a current ratio of 2.39 and quick ratio of 2.39, indicating liquidity, while debt-to-equity of 0.44 is present. The $121.9 million spent on share repurchases was funded in part by increasing borrowings. This reduces financial flexibility if the turnaround period extends. While quarterly net income was negative, positive free cash flow of $24.1 million in the quarter indicates that working capital management is being maintained.
Relative to peers, Endava's gross margin of 24.16% is below EPAM's 28.88% and Globant's 35.00%, reflecting the current margin pressure. The return on assets of 1.62% and return on equity of -0.48% also trail peers, highlighting the profitability gap that Dava Flow is intended to close. The beta of 1.30 suggests higher volatility, consistent with a company undergoing a fundamental shift.
Conclusion
Endava's investment thesis centers on a strategic pivot: that the short-term costs of becoming AI-native will create a durable platform capable of delivering improved margins and growth. The evidence of transformation includes the fact that 70% of services are AI-related and Dava Flow is showing productivity improvements in pilots. However, the financial cost is reflected in declining revenue and compressed adjusted PBT margins.
The market's valuation at 0.24 times sales reflects skepticism about a mid-tier provider executing this pivot while facing macro headwinds and competition. The potential lies in Dava Flow: if Endava can convert pilot interest into scaled programs, productivity gains could enable margin recovery toward historical levels. The three large deals signed for the second half provide a test case for the platform's commercial viability.
The critical variables will be execution speed and financial discipline. Investors should monitor Dava Flow's conversion rate, the trajectory of adjusted PBT margins, and stabilization in top-10 client spend. If margins fail to improve by mid-FY27, the current valuation may be seen as appropriate. Conversely, successful platform commercialization could lead to a re-rating as the market recognizes the value of an AI-native delivery engine in the next generation of IT services.
