NICE Ltd. (NICE) Q3 2024 Earnings Call Transcript Summary
NICE Ltd. (NICE) Q3 2024 Earnings Call Transcript Summary
Operating income grew 20% to $221 million with an operating margin of 32%, an expansion of 140 basis points.The following is a summary of the NICE Ltd. (NICE) Q3 2024 Earnings Call Transcript:
以下是nice ltd（nice）2024年第三季度業績會交易摘要：
Financial Performance:
財務表現:
NICE Ltd. reported Q3 2024 total revenue of $690 million, a 15% increase year-over-year.
Cloud revenue increased to $500 million, representing a growth of 24% year-over-year.
Operating income grew 20% to $221 million with an operating margin of 32%, an expansion of 140 basis points.
Earnings per share (EPS) rose by 27% to $2.88.
Operating cash flow surged by 32% to $159 million.
nice ltd報告2024年第三季度總營業收入爲69000萬美元，同比增長15%。
雲服務營業收入增至50000萬美元，同比增長24%。
營業收入增長20%至22100萬美元，營業利潤率爲32%，擴張了140個點子。
每股收益（EPS）上升27%至2.88美元。
營運現金流激增32%，至15900萬美元。
Business Progress:
業務進展：
NICE continues to displace legacy on-premise competitors, securing over 100 large enterprise accounts year-to-date.
The company has attracted over 45 brands following failed deployments by other cloud vendors.
Significant expansion in the partner ecosystem, with over 40 new partners, including 20 international partners.
nice ltd繼續取代傳統的現場對手，今年至今已獲得100多個大型企業客戶。
公司吸引了超過45個品牌，這些品牌在其他雲供應商部署失敗後加入。
合作伙伴生態系統大幅擴張，新增40多個合作伙伴，包括20個國際合作夥伴。
Opportunities:
機會：
Cloud revenue now surpasses the $2 billion annual recurring revenue (ARR) mark.
NICE is achieving significant cloud growth in a market that remains largely underpenetrated, particularly in international regions (EMEA and APAC).
The introduction of CXone Mpower aims to drive end-to-end automation in customer service, capitalizing on AI advancements.
雲端營業收入現在已超過20億美元的年度重複營業收入（ARR）標誌。
nice ltd 在市場上取得了顯著的雲增長，尤其是在國際地區（歐洲、中東、非洲和亞太地區），這些市場仍然大多未開發。
CXone Mpower的推出旨在推動客戶服務的端到端自動化，利用人工智能的進展。
Risks:
風險：
Longer deployment times for AI-based cloud solutions due to their complexity, affecting the speed of revenue recognition.
Potential challenges in scaling up customer service automation among large enterprises.
由於其複雜性，基於人工智能的雲解決方案部署時間更長，影響了營業收入確認的速度。
大型企業在擴大客戶服務自動化方面可能面臨潛在挑戰。
Tips: For more comprehensive details, please refer to the IR website. The article is only for investors' reference without any guidance or recommendation suggestions.
提示：如需更全面的詳情，請參閱投資人關係網站。本文僅供投資者參考，不作任何指引或建議。
譯文內容由第三人軟體翻譯。
