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FY2026 Q2
상향
FactSet Research Systems Inc. 실적 발표
Buzzberg 분석
ASV growth accelerated for fourth consecutive quarter
FactSet delivered another quarter of accelerating organic ASV growth (6.7%) and raised full-year guidance, citing balanced demand across all regions and firm types. Management highlighted AI as a tailwind, with rapid adoption of new data access channels (MCP server, agentic solutions) and early productivity gains from AI-assisted coding and data operations. Partnerships with Snowflake, Databricks, Anthropic, and OpenAI were emphasized as part of a strategy to embed FactSet data deeper into client AI workflows. Organic ASV growth accelerated to 6.7% in Q2, the fourth consecutive quarter of acceleration, with gains across all geographies and client types.
Buzzberg 분석 ASV growth accelerated for fourth consecutive quarter FactSet delivered another quarter of accelerating organic ASV growth (6.7%) and raised full-year guidance, citing balanced demand across all regions and firm types. Management highlighted AI as a tailwind, with rapid adoption of new data access channels (MCP server, agentic solutions) and early productivity gains from AI-assisted coding and data operations. Partnerships with Snowflake, Databricks, Anthropic, and OpenAI were emphasized as part of a strategy to embed FactSet data deeper into client AI workflows. Organic ASV growth accelerated to 6.7% in Q2, the fourth consecutive quarter of acceleration, with gains across all geographies and client types. 전체 분석 보기분석 접기
FactSet delivered another quarter of accelerating organic ASV growth (6.7%) and raised full-year guidance, citing balanced demand across all regions and firm types. Management highlighted AI as a tailwind, with rapid adoption of new data access channels (MCP server, agentic solutions) and early productivity gains from AI-assisted coding and data operations. Partnerships with Snowflake, Databricks, Anthropic, and OpenAI were emphasized as part of a strategy to embed FactSet data deeper into client AI workflows. Organic ASV growth accelerated to 6.7% in Q2, the fourth consecutive quarter of acceleration, with gains across all geographies and client types.
- FY2026 guidance raised: revenue now $2.45-$2.47B, adjusted EPS $17.25-$17.75; management sees sustained momentum and early AI-driven efficiency gains.
- AI solutions gaining traction: 48 of top 50 clients use at least three AI solutions; new MCP server has 120+ engaged clients with call volume tripling month-over-month.
- Internal productivity improvements are structural: AI coding assistants write ~20% of code, freeing 25% of engineer capacity; 100bps margin savings on track with over half already secured.
매출$0.611B+1% 전분기 대비
주당순이익(EPS)$4.46-1% 전분기 대비
매출총이익률51.43%보고값
영업이익률30.27%보고값
근거 있는 핵심 내용 6개
지금 중요한 점
이번 발표에서 가장 의미 있는 변화를 정리했습니다.
AI
AI is pulling FactSet deeper into client operations, not replacing it
Guidance
Raises FY26 guidance on strong half
핵심 내용 3개 더 보기
Productivity
Productivity initiatives secured over half of targeted savings
AI
MCP server has over 120 clients, fastest growing solution
Buybacks
Buybacks reduced shares outstanding by 3% in two quarters
보고 기간
보고 실적
| 지표 | 보고값 | 변화 |
|---|---|---|
| 매출 | $0.611B | +1% 전분기 대비 |
| 주당순이익(EPS) | $4.46 | -1% 전분기 대비 |
| 매출총이익률 | 51.43% | 보고값 |
| 영업이익률 | 30.27% | 보고값 |
| 잉여현금흐름 | $0.1857B | 보고값 |
| 자본지출 | $0.026B | 보고값 |
향후 전망
향후 가이던스
| 지표 | 기간 | 범위 | 중간값 | 상태 |
|---|---|---|---|---|
| 주당순이익(EPS) | FY2026 | $17.25–$17.75 | $17.50 | 상향 |
| 매출 | FY2026 | $2.45B–$2.47B | $2.46B | 상향 |
AI, 자본지출 및 수요 분석
경영진 분석
Upbeat
Management is distinctly confident, highlighting accelerating growth, strong momentum, and successful AI integration, with a clear narrative of being a winner in an AI-intensive world.
경영진의 AI 분석
Management emphasizes AI is a tailwind, with rapid adoption across solutions (MCP server, agentic platforms). AI is seen as deepening client relationships and expanding addressable markets, while also driving internal productivity gains.
투자 및 생산능력
Technology spend is accelerated on cloud infrastructure and AI tools; investments are directed towards growth initiatives (two-thirds) and internal infrastructure (one-third).
아래에 언급된 기업 8개 모두 표시
기업발표 이후 수익률
고객
고객
Helen Shan
UBS was a major new client win a year ago, contributing to tough comps but demonstrating FactSet's ability to land large global asset managers.
근거
“despite the challenging year-over-year comparison given our landmark UBS win a year ago”
고객
Helen Shan
Schroders deepened its relationship with FactSet by adopting a managed service, signaling trust and expansion within a key asset management client.
근거
“expanded our longstanding Schroeder relationship to provide a managed service to enable greater scale”
파트너
SNOW
+105.5%
DATABRICKS
파트너
Sanok Vishwanathan
FactSet integrates its data with Snowflake's cloud platform, enabling joint client workflows; partnership is complementary and likely expands Snowflake's ecosystem among financial institutions.
근거
“partnerships with Snowflake and Databricks enable clients to seamlessly combine fact-set data with their own sources and operate AI-driven workflows”
ANTHROPIC
OPENAI
파트너
Sanok Vishwanathan
FactSet is making its datasets available in Anthropic's AI marketplace, which may increase adoption of Anthropic's models for financial AI applications.
근거
“partnering with Anthropic, OpenAI, and other leading frontier labs to ensure that facts and data sets are readily available in their marketplaces”
공급업체
공급업체
Sanok Vishwanathan
FactSet is adding JPMorgan's research content to its platform, strengthening its sell-side data offering and potentially increasing FactSet's stickiness with buy-side clients.
근거
“integrating premier research firms like JPMorgan, Barclays, and Kepler directly into our platform”
외부 신호
공급망 알파 · 3발표 이후 수익률
FactSet's MCP server, launched in December 2025, already has over 120 clients actively engaged, with API call volume tripling month-over-month from February to March 2026.
근거
“Our MCP server that's built on a robust ecosystem of content APIs was launched in December and already has over 120 clients actively engaged.”
AI coding assistants now author nearly one-fifth of successful code commits, freeing up 25% of engineers' capacity and reducing time for software upgrades and patching by over 90%.
근거
“AI coding assistants now author nearly one-fifth of our successful code commits and free up a quarter of our engineers' capacity in those teams”
FactSet has deployed four distinct AI tools across data operations, generating a 25%+ reduction in manual curation on average, while the text-to-formula agent is absorbing a growing share of help desk requests, causing CSR volumes to decline.
방법론 및 범위
경영진 발언만 분석합니다. 검증된 기업 언급 8개를 모두 표시하며, 보고 실적과 향후 가이던스를 분리합니다. 공개 근거는 화자가 표시된 짧은 인용문 8개로 제한됩니다. AI 분석은 불완전하거나 틀릴 수 있으므로 중요한 주장은 원문에서 확인하세요.