29-Oct-2026 10:18:28

ZENSARTECHDividend

ZENSAR TECHNOLOGIES LTD Q2 CONCALL: MID-TEENS EBITDA MARGIN GUIDANCE MAINTAINED, BFSI GROWTH, AI-LED TRANSFORMATION, Q3 WAGE HIKE IMPACT & DEAL BOOKING RECOVERY

• Management maintained its mid-teens EBITDA margin guidance despite upcoming salary increases, seasonal furloughs and continued investments in AI capabilities. • Management expects Q3 FY27 revenue momentum to remain positive but did not provide specific numerical quarterly revenue growth guidance. • Management expects Q3 FY27 to experience seasonal furlough-related pressure, although the impact could be less severe than historical levels. • Management expects annual salary increases to be implemented across Q3 and Q4 FY27 rather than entirely in one quarter. • Management estimated that salary increases could create approximately 150–200 basis points of EBITDA margin pressure before operational offsets. • Management expects productivity improvements, utilization efficiency and cost optimization to help absorb part of the wage-related margin pressure. • Management expects the large BFSI deal ramp-up to continue contributing to revenue growth over the coming quarters. • Management indicated that BFSI growth is broad-based across several customer accounts rather than being dependent solely on one large contract. • Management remains optimistic about BFSI demand, supported by existing customer expansion, deal execution and technology transformation opportunities. • Management expects AI-influenced deals to increase beyond the current 36% share of the order book. • Management expects a gradual shift toward fixed-price and outcome-based AI contracts over the next three to four quarters. • Management believes outcome-based contracts could allow the company to retain a greater share of productivity benefits generated through AI. • Management expects AI-driven development to improve delivery speed, software quality and operational efficiency. • Management expects its ZenseAI platform to support internal productivity, governance and customer transformation rather than primarily functioning as a standalone software licensing business. • Management expects enterprise AI adoption to support demand for digital transformation, data engineering, analytics and modernization services. • Management expects AI-driven delivery practices to become increasingly integrated into existing customer projects. • Management indicated that AI-influenced deals have increased from percentages in the teens to approximately 36% over the last three to four quarters. • Management reported that more than 80% of proof-of-value AI engagements are converting into production programmes. • Management indicated that more than 59% of projects have adopted AI-driven development lifecycle practices. • Management has developed more than 50 AI-based service offerings and 50 industry-specific AI solutions. • Management indicated that approximately 92% of employees are progressing through its Ignite AI Academy competency framework. • Management does not separately disclose AI revenue because it considers the classification and measurement of AI-related business difficult to standardize. • Management expects AI productivity to change the commercial structure of IT services contracts, potentially reducing effort-based billing in some engagements. • Management acknowledged that AI-driven productivity could reduce the size or duration of certain projects, creating pressure on reported total contract values. • Management expects the transition toward fixed-price and outcome-based contracting to help address potential revenue compression from AI productivity. • Management expects continued expansion within its existing industry verticals and geographic markets rather than relying on entry into unrelated businesses. • Management believes the worst of the weakness in Telecom, Media & Technology is largely behind it, although a sustained recovery has not yet been demonstrated. • Management expects Healthcare & Life Sciences to benefit from continued demand across healthcare providers and pharmaceutical customers. • Management expects Manufacturing & Consumer Services to maintain positive momentum through existing account growth and technology transformation. • Management expects all major geographic markets to remain important contributors following broad-based sequential growth during Q2. • Management indicated that approximately $30 Mn of expected deals slipped from Q2 to Q3, mainly because of documentation and contract-signing formalities. • Management expects the delayed deals to remain potential contributors to future bookings, subject to completion of the signing process. • Management reported client renewal win rates above 95%, with recent performance described as close to 100%. • Management indicated that average deal tenure has not materially changed in recent quarters, excluding the unusually large deal quarter. • Management expects customer renewals and expansion within existing accounts to support revenue stability. • Management remains cautious about discretionary IT spending because customers continue to scrutinize new project commitments. • Management indicated that strong revenue growth needs to be supported by improved order bookings to establish a sustainable growth trajectory. • Management expects utilization to remain an important margin support factor after improving significantly during Q2. • Management is increasing the recruitment of AI-native graduates to strengthen delivery capabilities. • Management indicated that approximately 30% of recent fresher hiring consisted of AI-native talent and intends to increase this share. • Management indicated that converted AI-native interns may receive salaries approximately 2.5 times those of conventional freshers. • Management expects continued investment in AI tools and platforms, with associated amortization reflected in future profitability. • Management indicated that capitalized technology investments relate to AI tools and platforms, not employee salary expenses. • Management expects depreciation and amortization from these investments to remain broadly around the current normalized run rate. • Q2 FY27 revenue stood at approximately $166.2 Mn, representing sequential growth of 4.2% in reported USD terms. • Revenue increased approximately 4.1% QoQ in constant currency, indicating strong underlying sequential growth. • Revenue increased approximately 5.1% QoQ and 11.5% YoY in INR terms. • Management reported sequential growth across all geographic regions and three of the four major industry verticals. • BFSI revenue increased approximately 7.1% QoQ in constant currency, making it the strongest-performing business vertical. • BFSI represented approximately 50% of company revenue according to the analyst discussion, highlighting its importance to overall performance. • Healthcare & Life Sciences revenue increased approximately 2.4% QoQ in constant currency. • Manufacturing & Consumer Services revenue increased approximately 2.9% QoQ in constant currency. • Telecom, Media & Technology revenue declined approximately 2.2% QoQ in constant currency, remaining the weakest vertical. • Q2 EBITDA margin improved approximately 120 basis points sequentially to 15.8%, compared with approximately 14.6% in Q1 FY27. • Management attributed approximately 40 basis points of sequential margin benefit to foreign exchange movements. • Higher volumes, additional working days and improved utilization contributed approximately 130 basis points to the sequential EBITDA margin improvement. • Lower employee stock option costs contributed approximately 130 basis points to margins. • Management bonus-related normalization created approximately 130 basis points of sequential margin pressure. • Software, annual maintenance and other operating costs created approximately 50 basis points of additional margin pressure. • These factors resulted in a net sequential EBITDA margin improvement of approximately 120 basis points. • Q2 profit after tax margin stood at approximately 12.0%, declining around 20 basis points sequentially. • Diluted earnings per share stood at approximately ₹8.3, representing sequential growth of 3.6%. • The effective tax rate stood at approximately 24.5%. • Quarterly order bookings were reported at approximately $151.5 Mn, although the machine-generated transcript contains inconsistent currency labels and the figure requires verification. • An analyst highlighted that H1 FY27 total contract value was approximately 9% lower YoY, indicating weaker order intake despite revenue growth. • Management identified delayed contract signings and AI-driven changes in project size as factors affecting reported order bookings. • Total employee headcount exceeded 12,000 during Q2 FY27. • Headcount increased approximately 8.6% sequentially, with net additions of 978 employees. • Utilization improved approximately 250 basis points sequentially to 87.6%. • Voluntary employee attrition stood at approximately 9.3%. • Attrition remained below 10% for seven consecutive quarters, indicating improved employee retention. • Products & Platforms, including CMO services, recorded approximately 18.3% YoY revenue growth. • Data Engineering & Analytics recorded approximately 13.4% YoY growth, supported by demand for data and AI transformation. • Enterprise Application Services revenue increased approximately 1.8% YoY. • Cloud Infrastructure & Security revenue declined approximately 0.6% YoY. • Service lines accounted for approximately 72.2% of revenue, increasing around 420 basis points YoY. • Cash and investments were reported at approximately $297.3 Mn, subject to verification because of inconsistent currency transcription in the source. • The company reported a dividend payout of approximately $29.9 Mn. • Days sales outstanding increased to 77 days, reflecting working-capital pressure from customer payment-term renegotiations. • Management indicated that AI tools and intangible investments are being amortized over approximately five to five-and-a-half years. • Key risks include weak discretionary IT spending, subdued order bookings, delayed customer decisions and potential compression of contract values from AI productivity. • Additional risks include 150–200 basis points of wage-related margin pressure, Q3 furloughs, continued TMT weakness and limited additional utilization upside. • Working-capital risks remain important because DSO has increased to 77 days. • Continued AI investment and related amortization could create additional pressure on reported earnings. • Overall outlook remains cautiously positive, supported by 4.1% constant-currency sequential revenue growth, strong BFSI performance, improved EBITDA margins and expanding AI adoption. • Key Q3 and H2 FY27 monitorables include conversion of approximately $30 Mn in delayed deals, continued BFSI ramp-up, recovery in TMT, wage-cost absorption and maintenance of mid-teens EBITDA margins. • Sustained improvement in order bookings, AI-related commercial monetization and working-capital efficiency will be important for assessing the durability of the company's growth recovery. • The supplied source is a machine-generated earnings-call transcript. The approximately $151.5 Mn order-book figure and $297.3 Mn cash-and-investments figure contain currency-label uncertainties and should be checked against official company disclosures before use.

ZENSAR TECHNOLOGIES LTD

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