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Genpact(G) - 2023 Q3 - Earnings Call Transcript
2023-11-09 02:39
Financial Data and Key Metrics Changes - Total revenue for Q3 2023 was $1.14 billion, up 2% year-over-year on a constant currency basis [7][21] - Adjusted operating income margin was 17.2%, up 10 basis points year-over-year [7][23] - Adjusted diluted earnings per share was $0.76, up 1% year-over-year [7][25] - Full year 2023 revenue outlook revised to approximately $4.45 billion, representing a year-over-year growth of 2.5% on a constant currency basis [8][28] Business Line Data and Key Metrics Changes - Data-Tech-AI services revenue was $500 million, down 2% year-over-year [7][21] - Digital Operations services revenue was $636 million, up 6% year-over-year [7][21] - Revenue from priority accounts grew 6% year-over-year, accounting for approximately 64% of total revenue [11] Market Data and Key Metrics Changes - Financial services revenue increased 6% year-over-year, driven by large deal ramps [21] - Consumer and healthcare revenue declined 2% year-over-year due to pressure on short cycle growth-oriented digital marketing projects [21] - High tech and manufacturing revenue increased 4% year-over-year, primarily driven by new logo wins [21] Company Strategy and Development Direction - Focus on large transformational deals prioritizing cost reductions, with bookings expected to grow at least 25% in 2023 [6][9] - Continued investment in generative AI, with over 90 specific solutions in testing and deployment [14][16] - Expansion of partnerships with cloud technology players to co-innovate and create joint IP solutions [11][12] Management's Comments on Operating Environment and Future Outlook - Management noted increasing pressure in short cycle advisory and project work, leading to lower than expected revenue [6][8] - Confidence in long-term annuity-based services remains strong, with a record high quality pipeline [9][10] - Management expressed cautious optimism for 2024 growth, with limited visibility into short cycle revenue [10][30] Other Important Information - Attrition rate for Q3 was 25%, significantly lower than 36% during the same period last year [13] - The company added 32 new logos during the quarter, indicating a bounce back from the first half of the year [10][64] Q&A Session Summary Question: Comments on short cycle versus large deals - Management acknowledged strong long cycle annuity deals but noted challenges with short cycle projects impacting revenue [32][34] Question: Catalyzing short cycle work - Management indicated that while there are no immediate plans to catalyze short cycle work, generative AI budgets remain stable and could drive growth [36][38] Question: Non-FTE work traction in high priority accounts - Non-FTE commercial models penetration is at 16%, with higher adoption in priority accounts [42][43] Question: Impact of current dynamics on margins - Management discussed the dual dynamics affecting gross margins, with large deal ramp-ups having a dilutive effect in the near term [45][46] Question: Visibility on Data-Tech-AI and Digital Ops - Management confirmed strong growth in Digital Operations and acknowledged weakness in Data-Tech-AI going into Q4 [49][50] Question: New logo additions by verticals - New logos were well distributed across all verticals, indicating a recovery from the first half of the year [63][64]
Genpact(G) - 2023 Q3 - Quarterly Report
2023-11-08 16:00
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form 10-Q (Mark One) ☒ Quarterly Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Quarterly Period ended September 30, 2023 Or ☐ Transition Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Transition Period from to Commission file number: 001-33626 GENPACT LIMITED (Exact name of registrant as specified in its charter) Bermuda 98-0533350 (State or other jurisdictio ...
Genpact(G) - 2023 Q2 - Earnings Call Transcript
2023-08-10 00:15
Financial Data and Key Metrics - Total revenue for Q2 2023 was $1.106 billion, up 3% YoY on a constant currency basis [7] - Data-Tech-AI services revenue was $501 million, up 3% YoY, while Digital Operations services revenue was $605 million, up 2% YoY [7] - Adjusted operating income margin was 16.8%, a 10 basis points YoY decline [7] - Adjusted diluted EPS was $0.72, up 3% YoY [7] - Full-year 2023 revenue growth is now expected to be 5.5% to 6.5% YoY, down from the prior expectation of 6.5% to 8% [8] - Cash flow from operations was $171 million, up from $102 million in the same period last year [28] Business Line Performance - Data-Tech-AI services grew 3% YoY, driven by demand for supply chain services and automation of finance and accounting functions [23] - Digital Operations services grew 2% YoY, primarily due to deal ramps from existing and recent wins, partially offset by volume reductions from high-tech clients [24] - Financial services vertical grew 4% YoY, while Consumer and Healthcare declined 1% YoY [25] - High-tech and Manufacturing grew 2%, driven by supply chain engagements and new logo wins [25] Market Performance - The company signed six large deals in Q2, each with a total contract value of $50 million, following five large deals in Q1 [9] - 24 new logos were added during the quarter, including three large teams [9] - The pipeline reached an all-time high, with several new large deal opportunities [10] Strategic Initiatives and Industry Competition - The company is focusing on leveraging Generative AI (Gen AI) to disrupt less penetrated areas and enhance services in areas like customer care, FP&A, and digital marketing [17] - Investments are being made in non-FTE based commercial models, which now represent 60% of revenues [16] - The company is deepening partnerships with cloud technology players like Microsoft, Google Cloud, and AWS to co-innovate and create joint IP solutions [14][15] - The company plans to invest $600 million over the next three years to build out AI capabilities, including R&D, training, and acquisitions [22] Management Commentary on Operating Environment and Future Outlook - The company expects to return to double-digit top-line organic growth in 2024, driven by strong bookings and a robust pipeline [34] - Management remains confident in achieving 10%+ organic revenue growth and faster margin expansion through 2026 [35] - The company is seeing a secular trend in demand for AI and data transformation services across all industry verticals and geographies [78][79] Other Important Information - Attrition levels stabilized at 25% in Q2, significantly lower than 38% in the same period last year [16] - The company repurchased 3.2 million shares for $120 million during the quarter [30] - Capital expenditures as a percentage of revenue were approximately 1.4%, with higher investment activity expected in the second half of the year [30] Q&A Session Summary Question: Revenue Revision and Large Deal Momentum - The revenue revision was primarily due to lower short-cycle discretionary work and volume reductions from high-tech clients, with no recovery expected in the second half [41][42] - Large deals are expected to drive growth in the second half, with 40% of deals having rebatching components, but the margin profile is expected to grow as more value is delivered [43][44][45] Question: Bookings Growth vs Revenue Growth - The difference between 25%-30% bookings growth and low double-digit revenue growth is due to the rotation from short-cycle to larger annuity deals, which take longer to reflect in revenue [47][48] Question: Impact of Gen AI on Customer Service - Customer care represents less than 10% of the company's business, and Gen AI is seen as an opportunity to disrupt this area, with pilots already showing potential for significant efficiency gains [51][52] Question: Outcome-Based Pricing Trends - Non-FTE pricing, including transaction-based and outcome-based models, is gaining traction, particularly in financial services, where clients understand transaction-based pricing well [57][58][59] Question: Competitive Environment and Pricing - The competitive environment remains stable, with the company's domain expertise and data understanding being key differentiators in winning deals [61][62] Question: Discretionary Spending Breakdown - Discretionary spending reductions were primarily in Data-Tech-AI services, while Digital Operations was impacted by volume reductions from high-tech clients [64][65] Question: Large Deals and Secular Trends - The company views the current demand for large deals as a secular trend, driven by the need for data transformation and AI across all industries and geographies [77][78][79] Question: High-Tech Volume Reductions - Volume reductions from high-tech clients are seen as a lagging indicator of broader cost-cutting measures, but the company expects a rebound as these clients prepare for Gen AI [83][84] Question: Margins and Cash Flow - Margins are expected to expand modestly, with cash flow guidance remaining unchanged at $500 million for the year [86][87] Question: Non-FTE Business Models - Non-FTE pricing models have been successful, with higher margins and better alignment of goals between the company and its clients [93][94][95]
Genpact(G) - 2023 Q2 - Quarterly Report
2023-08-08 16:00
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form 10-Q (Mark One) ☒ Quarterly Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Quarterly Period ended June 30, 2023 Or ☐ Transition Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Transition Period from to Commission file number: 001-33626 GENPACT LIMITED (Exact name of registrant as specified in its charter) Bermuda 98-0533350 (State or other jurisdiction of ...
Genpact(G) - 2023 Q1 - Earnings Call Transcript
2023-05-11 02:20
Financial Performance - Total revenue for Q1 2023 was $1.089 billion, up 4% year-over-year on a constant currency basis [6] - Data-Tech-AI services revenue grew 6% year-over-year to $485 million, while Digital Operations services revenue increased 3% to $604 million [6] - Adjusted operating income margin expanded by 140 basis points to 16.4%, and adjusted diluted EPS rose 13% to $0.68 [6] - Gross margin for the quarter was 34%, down from 35.8% in Q1 2022, primarily due to higher severance costs and travel expenses [27] - SG&A as a percentage of revenue decreased by 230 basis points to 19.9% [28] - Cash flow from operations improved, with $34 million utilized compared to $114 million in Q1 2022 [29] Business Line Performance - Data-Tech-AI services grew 6% year-over-year, driven by strong demand in supply chain, sales, commercial, and risk services, which collectively grew 9% [12] - Digital Operations services grew 3% year-over-year, supported by steady demand and deal ramps from recent wins [12] - Emerging services, including supply chain, sales, and risk, grew 9% collectively, partially offset by a slowdown in discretionary advisory work [12] Market Performance - Financial services revenue increased 9% year-over-year, driven by strong demand for risk management services leveraging data, analytics, and AI [26] - Consumer and Health Care revenue declined 4% year-over-year due to longer deal cycles and lower Data-Tech-AI services revenue [26] - High Tech and Manufacturing revenue grew 3%, supported by new deal ramps, though partially offset by a reduction in operational scope for a priority high-tech account [26] Strategic Initiatives and Industry Competition - The company signed a record level of Q1 bookings, including 5 large deals with total contract values exceeding $50 million, with nearly 75% of bookings coming from priority accounts [7] - The company is investing in generative AI, large language models (LLMs), and machine learning technologies to drive client transformation and operational efficiency [5][15] - Strategic partnerships with cloud technology providers like ServiceNow and Kinaxis are enhancing the company's AI capabilities and expanding its global reach [13] - The company is expanding its operating centers in Tier 3 cities in India to access talent pools, with two centers operational and a third set to launch in Q3 2023 [14] Management Commentary on Operating Environment and Future Outlook - Management highlighted the growing urgency among clients to leverage generative AI and LLMs, with a focus on cost reduction and operational efficiency [7][15] - The company expects full-year 2023 revenue to be between $4.64 billion and $4.71 billion, representing year-over-year growth of 6% to 7.5% [31] - Adjusted operating income margin is expected to be approximately 16.8% for the full year, with gross margin expected to improve by 30 basis points, offset by lower margins from new large deals [32][33] - Revenue growth is expected to be back-end loaded in 2023, with low single-digit growth in Q2 and mid-to-high single-digit growth in the latter part of the year [34] Other Important Information - The company hired 8,000 new team members globally in Q1, with attrition dropping to 24%, and involuntary attrition adjusted to 19% [14][15] - The company repurchased 631,000 shares for $30 million and paid $25 million in dividends during the quarter [30] - The company published its 2022 Sustainability Report, highlighting progress on ESG initiatives and supporting clients in achieving their ESG goals [40] Q&A Session Summary Question: Large Deal Ramp and Risks - The company expects the five large deals signed in Q1 to ramp up in Q2 and continue into H2 2023, with some deals extending into H1 2024 [42] - Management expressed confidence in the ramp-up process, citing experience with similar rebadge deals and no significant risks anticipated [42] Question: Generative AI Opportunity - Generative AI is seen as a significant opportunity, with initial use cases focused on help desks, customer service, and research work in unregulated industries [45][46] - The company believes generative AI will expand the total addressable market (TAM) and create value for clients, similar to the impact of RPA in previous years [46] Question: Pricing and Margin Impact of Generative AI - The company expects generative AI to drive productivity and efficiency, with alternate commercial models (transaction-based or outcome-based pricing) becoming more prevalent [52] - These models are expected to be margin-accretive over time, supporting the company's long-term margin expansion goals [52] Question: Revenue Growth and Discretionary Advisory Work - The company expects revenue growth to accelerate in H2 2023, driven by large deal ramps and a recovery in discretionary advisory work [59][60] - The slowdown in advisory work in Q4 2022 and Q1 2023 was anticipated and factored into the company's guidance [59] Question: Financial Services Performance - Financial services revenue grew 9% year-over-year, driven by strong demand for risk management services and increased deposit flow from large banks [88] - The company has limited exposure to smaller regional banks and has not been materially impacted by recent banking sector challenges [88] Question: Generative AI Adoption Timeline - Initial generative AI use cases are expected to focus on help desks, customer service, and research work, with broader adoption in areas like accounts payable and receivables taking longer due to data complexity [91] - The company anticipates a multi-year journey for clients to fully leverage generative AI in more complex operational areas [91] Question: Service Line Composition and Emerging Services - Emerging services, which grew 9% in Q1, now represent more than 25% of total revenue and are expected to continue growing faster than the company average [93] - Customer service and help desk operations represent less than 10% of the company's business, presenting a significant growth opportunity with generative AI [94]
Genpact(G) - 2023 Q1 - Quarterly Report
2023-05-09 16:00
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form 10-Q (Mark One) ☒ Quarterly Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Quarterly Period ended March 31, 2023 Or ☐ Transition Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 For the Transition Period from to Commission file number: 001-33626 Canon's Court 22 Victoria Street Hamilton HM 12 Bermuda (441) 298-3300 (Address, including zip code, and telephone number ...
Genpact(G) - 2022 Q4 - Annual Report
2023-02-28 16:00
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form 10-K Commission file number: 001-33626 GENPACT LIMITED (Exact name of registrant as specified in its charter) (State or other jurisdiction of incorporation or organization) (I.R.S. Employer Identification No.) Bermuda 98-0533350 Canon's, Court 22 Victoria Street Hamilton HM 12 Bermuda (441) 298-3300 (Address, including zip code, and telephone number, including area code, of registrant's principal executive office) Securities regist ...
Genpact(G) - 2022 Q4 - Earnings Call Transcript
2023-02-10 01:35
Genpact Limited (NYSE:G) Q4 2022 Results Conference Call February 9, 2023 4:30 PM ET Company Participants Roger Sachs - Head of Investor Relations Tiger Tyagarajan - President and CEO Mike Weiner - Chief Financial Officer Conference Call Participants Puneet Jain - JPMorgan Keith Bachman - BMO Dave Koning - Robert W. Baird Jesse Wilson - William Blair Bryan Bergin - Cowen & Company Mayank Tandon - Needham & Company Surinder Thind - Jefferies Operator Good day, ladies and gentlemen. Welcome to the 2022 Fourth ...
Genpact(G) - 2022 Q3 - Earnings Call Transcript
2022-11-10 03:45
Genpact Limited (NYSE:G) Q3 2022 Earnings Conference Call November 9, 2022 4:30 PM ET Company Participants Roger Sachs - Head, IR Tiger Tyagarajan - President and CEO Mike Weiner - CFO Conference Call Participants David Koning - R.W. Baird Bradley Clark - BMO Zach Ajzenman - Cowen Bryan Keane - Deutsche Bank Operator Good day, ladies and gentlemen. Welcome to the 2022 Third Quarter Genpact Limited Earnings Conference Call. My name is Michelle, and I will be your conference moderator today. [Operator Instruc ...