FN2 Earnings Intelligence
EPAM Systems (EPAM) earnings history
EPAM Systems, Inc. (EPAM) quarterly earnings scorecards, market reactions, transcript intelligence, and historical context.
Earnings History
EPAM Systems, Inc.
EPAM’s Q2 supports the case that AI-led demand can drive growth: AI-native revenue accelerated and margins expanded. However, lower guidance, North America weakness and negative free cash flow make the next-year trajectory dependent on commercial execution and conversion of AI demand into durable revenue.
EPAM Systems, Inc.
EPAM delivered a Q1 FY2026 beat with EPS of $2.86 vs. $2.75 estimate and revenue of $1.40B vs. $1.39B estimate, driven by accelerating AI-native services growth and a $125M AI revenue run-rate. Despite the beat, management lowered full-year revenue growth guidance from 4.5-7.5% to 4-6.5%, citing macroeconomic uncertainty, higher energy prices, and weaker North America demand. The stock sold off 2.6% on the report with a further 5.9% drift over subsequent sessions, as investors weighed the guidance cut against the expanding AI partnership ecosystem (Anthropic, Ontic, AWS) and a large but still-unsecured pipeline of AI-enabled vendor consolidation deals for H2.
EPAM Systems, Inc.
The quarter supports a constructive but conditional view of EPAM's AI-led growth strategy: AI-native services are scaling and management set a 2026 target above $600 million, but modest overall guidance and identified client, procurement, macro, and competitive risks make execution central.
EPAM Systems, Inc.
The current analysis supports a constructive but conditional view: accelerating AI-native services, cloud and data modernization demand, and higher guidance strengthen the growth case, while seasonality, acquisition execution, AI project profitability, and client-budget durability remain material tests.
EPAM Systems, Inc.
The supplied analysis supports a constructive but qualified view: EPAM's AI-native services, cloud migration work, acquisitions, and raised guidance strengthen the growth case, while seasonality, utilization, pricing, and margin risks temper confidence.
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