{"data":{"ticker":"EXLS","slug":"exlservice-holdings","name":"ExlService Holdings","exchange":"NASDAQ","sector":"Technology","headquarters":"New York, New York","ceo":"Rohit Kapoor","employees":65000,"website":"https://www.exlservice.com","founded":"1999","layers":[{"slug":"ai-services","name":"AI Services"}],"exposure":{"score":35,"tier":"Growing","rationale":"EXL sells data analytics and AI-led operations services to insurers, banks, and healthcare firms, embedding AI agents into client workflows. Its repositioning from BPO to AI services is the growth story, though much revenue still comes from traditional process management."},"quote":{"price":42.53,"change24hPct":2.66,"change7dPct":1.82,"change30dPct":18.97,"change1yPct":8.61,"high52w":43.38,"low52w":25.22,"marketCap":6413044736,"peRatio":25.47,"eps":1.67,"volume24h":88658038},"nextEarningsDate":"2026-10-27","summary":"ExlService Holdings, known as EXL, sells data analytics and operations services to insurers, banks, and healthcare companies. Clients pay it to run and improve business processes, from claims handling to underwriting support, increasingly with AI embedded in the work.","explainer":["ExlService Holdings, known as EXL, sells data analytics and operations services to insurers, banks, and healthcare companies. Clients pay it to run and improve business processes, from claims handling to underwriting support, increasingly with AI embedded in the work.","Its AI offerings include EXL XTRAKTO AI for extracting information from documents, AI claims processing for insurers, banking AI analytics, and healthcare AI operations. The company is repositioning from traditional business process outsourcing toward AI-led services, embedding AI agents directly into client workflows.","Founded in 1999 and headquartered in New York City, EXL trades on the NASDAQ and employs roughly 65,000 people."],"buildoutRole":"EXL sits in the AI Services layer of the buildout as a services company embedding AI into client operations. Its shift from business process outsourcing to AI-led services for insurers, banks, and healthcare firms is the growth story, with AI agents working inside client workflows. Much revenue still comes from traditional process management, which is why Supercycle scores its AI exposure at 35 out of 100.","faq":[{"q":"What does ExlService Holdings do?","a":"EXL sells data analytics and operations services to insurance, banking, and healthcare companies. Clients pay it to run and improve business processes such as claims handling, increasingly with AI embedded."},{"q":"How is EXL exposed to AI?","a":"Its repositioning from business process outsourcing to AI-led services is the growth story, with AI agents embedded in client workflows. Traditional work remains large, so Supercycle scores it 35 out of 100."},{"q":"What are EXL's main AI offerings?","a":"EXL XTRAKTO AI for document extraction, AI claims processing for insurers, banking AI analytics, and healthcare AI operations services delivered inside client workflows."},{"q":"Is EXLS a pure play AI stock?","a":"No. EXL is an operations and analytics services firm moving toward AI-led delivery. Its AI Exposure Score of 35 out of 100 reflects a genuine but incomplete transition."},{"q":"Where is EXL based and who leads it?","a":"ExlService Holdings is headquartered in New York, New York, and is led by CEO Rohit Kapoor. Founded in 1999, it employs roughly 65,000 people and trades on the NASDAQ."}],"history1y":[{"date":"2026-09-22","close":35.02},{"date":"2026-09-23","close":34.83},{"date":"2026-09-24","close":35.16},{"date":"2026-09-25","close":34.75},{"date":"2026-09-28","close":34.6},{"date":"2026-09-29","close":34.58},{"date":"2026-09-30","close":34.38},{"date":"2026-10-01","close":36.48},{"date":"2026-10-02","close":35.75},{"date":"2026-10-05","close":35.9},{"date":"2026-10-06","close":35.41},{"date":"2026-10-07","close":35.51},{"date":"2026-10-08","close":36.87},{"date":"2026-10-09","close":36.79},{"date":"2026-10-12","close":36.74},{"date":"2026-10-13","close":37.2},{"date":"2026-10-14","close":37.36},{"date":"2026-10-15","close":39.1},{"date":"2026-10-16","close":39.52},{"date":"2026-10-19","close":39.76},{"date":"2026-10-20","close":40.86},{"date":"2026-10-21","close":41.02},{"date":"2026-10-22","close":42.91},{"date":"2026-10-23","close":42.3},{"date":"2026-10-26","close":41.77},{"date":"2026-10-27","close":40.93},{"date":"2026-10-28","close":40.72},{"date":"2026-10-29","close":41.12},{"date":"2026-10-30","close":41.43},{"date":"2026-11-02","close":42.53}],"incomeStatements":[{"ticker":"EXLS","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":2087679000,"cost_of_revenue":1286603000,"gross_profit":801076000,"operating_expense":0,"operating_income":313750000,"net_income":251019000,"earnings_per_share":1.54,"earnings_per_share_diluted":1.54,"research_and_development":0,"selling_general_and_administrative_expenses":428242000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"EXLS","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":1838372000,"cost_of_revenue":1147359000,"gross_profit":691013000,"operating_expense":0,"operating_income":263620000,"net_income":198297000,"earnings_per_share":1.21,"earnings_per_share_diluted":1.21,"research_and_development":0,"selling_general_and_administrative_expenses":372174000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"EXLS","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":1630668000,"cost_of_revenue":1022902000,"gross_profit":607766000,"operating_expense":0,"operating_income":238755000,"net_income":184558000,"earnings_per_share":1.1,"earnings_per_share_diluted":1.1,"research_and_development":0,"selling_general_and_administrative_expenses":318521000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"EXLS","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":1412044000,"cost_of_revenue":896595000,"gross_profit":515449000,"operating_expense":0,"operating_income":192162000,"net_income":142968000,"earnings_per_share":0.846,"earnings_per_share_diluted":0.846,"research_and_development":0,"selling_general_and_administrative_expenses":267005000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"EXLS","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":1702235000,"current_assets":829957000,"cash_and_equivalents":146326000,"total_liabilities":789530000,"current_liabilities":324125000,"total_debt":403622000,"shareholders_equity":912705000,"retained_earnings":1532979000},{"ticker":"EXLS","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":1618403000,"current_assets":795189000,"cash_and_equivalents":153355000,"total_liabilities":688541000,"current_liabilities":290116000,"total_debt":364826000,"shareholders_equity":929862000,"retained_earnings":1281960000},{"ticker":"EXLS","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":1441972000,"current_assets":679673000,"cash_and_equivalents":136953000,"total_liabilities":552535000,"current_liabilities":326403000,"total_debt":270955000,"shareholders_equity":889437000,"retained_earnings":1083663000},{"ticker":"EXLS","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":1346119000,"current_assets":612794000,"cash_and_equivalents":118669000,"total_liabilities":587940000,"current_liabilities":277946000,"total_debt":313133000,"shareholders_equity":758179000,"retained_earnings":899105000}],"holders13f":[],"news":[]},"meta":{"version":"v1","asOf":"2026-11-02","builtAt":"2026-11-03T05:33:50.017Z","tier":"free","source":"https://supercyclehq.com/stock/exlservice-holdings","disclaimer":"Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.","license":"Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."},"links":{"self":"https://supercyclehq.com/api/v1/stocks/EXLS","html":"https://supercyclehq.com/stock/exlservice-holdings","md":"https://supercyclehq.com/stock/exlservice-holdings.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}