Duyuru • Nov 04

+ 2 more updates

Snowflake Inc. Delivers the Enterprise Lakehouse with Enhanced Open Data Access and Flexibility for Agentic AI

Snowflake announced innovations that make it easier for organizations to ingest, access, and govern their data across the entire data lifecycle, redefining the enterprise lakehouse for the AI era. New advancements to Snowflake Horizon Catalogand Snowflake Openflow (now generally available) enable enterprises to connect all of their data from disparate sources and catalogs, making it accessible for AI agents to drive value — all with consistent, built-in security and governance. Snowflake is also redefining how enterprises can build and power AI agents and apps by helping organizations turn data into immediate insights and near real-time experiences with Interactive Tables and Warehouses (generally available soon), as well as enabling customers to leverage real-time transactional data faster and more efficiently with Snowflake Postgres (public preview soon). Expanding Interoperability Across the Enterprise Lakehouse: Organizations struggle with AI readiness due to fragmented governance and siloed data systems. In fact, a recent study found that 80% of IT leaders point to data silos as the primary obstacle to building successful AI strategies1. Horizon Catalog addresses these challenges by providing context for AI and a unified security and governance framework that secures and connects data across every region, cloud, and format — all interoperable and without vendor lock-in. It’s designed to work seamlessly with any engine, any data format, and from anywhere — spanning native Snowflake objects, open table formats like Apache Iceberg™2 and Delta Lake, and even data stored in relational databases such as SQL Server and Postgres. By bringing open APIs from Apache Polaris™ (Incubating) and Apache Iceberg™ REST Catalog4directly into Horizon Catalog, Snowflake now provides customers with the de facto enterprise lakehouse — centralizing governance, security, and interoperable access management across their data in open table formats. These advancements enable external engines to securely access data (public preview soon) in Apache Iceberg tables, as well as create, update, or manage data stored in Iceberg tables (private preview soon). Organizations now gain advanced flexibility, allowing teams to securely use their preferred engines on a single copy of data, making it easier to share, connect, and activate that data from a universal AI catalog. Snowflake’s latest integration offers customers and partners like Merkle and RelationalAI the freedom to confidently use the best engines and tools for their specific business needs across a single point of governance. Snowflake is also enhancing data resilience with Business Continuity and Disaster Recovery (now in public preview) for managed Iceberg tables, further safeguarding enterprises’ critical data across the entire enterprise lakehouse. With Openflow, enterprise users can securely automate data integration and ingestion from virtually any source, making it easier to keep data centralized across the enterprise lakehouse. Hundreds of customers including Brightfire, EVgo, and Intelitics already utilize Openflow to unify their data across various types and formats, so they can rapidly deploy AI-powered innovations. Snowflake is also expanding integration options through its partnership with Oracle (now in private preview), enabling customers to harness near real-time change data capture built on Openflow to continuously stream transactional updates into the Snowflake AI Data Cloud. Powering Immediate Insights and Near Real-Time Experiences: As AI raises expectations for speed and interactivity, today’s organizations are under pressure to deliver immediate, data-driven experiences. To meet this growing demand, Snowflake is extending its leadership in data performance across all data with the introduction of Interactive Tables and Interactive Warehouses. Providing low-latency and high-concurrency, this new advancement makes analytics feel instantaneous, enabling teams to uncover insights in sub-seconds, not minutes. Now, enterprises have the power to work with live data immediately across their business intelligence tools, powering fast, intelligent apps and AI agents — all under Snowflake’s unified and governed platform. Interactive Tables and Warehouses move customers beyond traditional, batch analytics to deliver truly interactive experiences, without the burden of managing complex infrastructure overhead. Building on this foundation, Snowflake is introducing near real-time streaming analytics (now in private preview), enabling organizations to act on live data within seconds, using the familiar tools and secure platform they already trust. With built-in support for leading data streams like Kafka, Kinesis, and other sources, customers can now combine live data with historical context to power mission-critical use cases like fraud detection, personalization, recommendations, observability, and IoT monitoring. Whether modernizing existing analytics or launching new near real-time services, Snowflake customers now gain an end-to-end solution for immediate insights and streaming intelligence across all their data. Delivering Enterprise-Grade Capabilities that Fuel AI Agents and Apps: Following Snowflake’s recent acquisition of Crunchy Data, the company has introduced Snowflake Postgres, a fully-managed service that brings the world’s most popular database onto the Snowflake platform. The separation of transactional data in Postgres from analytical data has long been a major architectural roadblock for enterprises, forcing costly data movement and preventing real-time data access for apps and AI agents. Snowflake Postgres changes this by extending support to transactional, hybrid, and analytical workloads natively on the Snowflake platform. Now, Snowflake is bringing the Postgres database and ecosystem developers love to the platform enterprises trust. With transactional Postgres data within the same secure foundation as enterprises’ analytics and AI, Snowflake is progressing the enterprise lakehouse beyond insight into action — helping organizations build AI agents and intelligent apps on operational data. Snowflake is also open sourcing pg_lake (now generally available), a set of Postgres extensions designed to help developers and data engineers integrate Postgres with a powerful lakehouse system. With pg_lake, developers can directly query, manage, and write to Apache Iceberg tables using standard SQL — all from their familiar Postgres environment. Building on these innovations, Snowflake is continuing to bring transactional and analytical workloads together through major advancements in Snowflake Unistore, powered by Hybrid Tables.

IT Sektör Büyümesi	12.91%
Gelir büyüme oranı	29.85%
Özkaynak getirisi	-50.63%
Net Marj	-20.07%
Son Kazanç Güncellemesi	31 Jul 2026

Tarih	Gelir	Kazançlar	G+A Giderleri	Ar-Ge Giderleri
31 Jul 26	5,435	-1,091	2,754	2,107
30 Apr 26	5,033	-1,197	2,641	2,032
31 Jan 26	4,684	-1,332	2,503	1,969
31 Oct 25	4,387	-1,350	2,386	1,940
31 Jul 25	4,116	-1,380	2,273	1,899
30 Apr 25	3,840	-1,399	2,152	1,845
31 Jan 25	3,626	-1,286	2,084	1,783
31 Oct 24	3,414	-1,128	1,981	1,655
31 Jul 24	3,206	-1,017	1,870	1,545
30 Apr 24	3,012	-927	1,799	1,421
31 Jan 24	2,806	-836	1,715	1,281
31 Oct 23	2,621	-874	1,647	1,158
31 Jul 23	2,444	-861	1,576	1,038
30 Apr 23	2,267	-857	1,497	908
31 Jan 23	2,066	-797	1,397	788
31 Oct 22	1,860	-722	1,300	669
31 Jul 22	1,638	-676	1,192	574
30 Apr 22	1,413	-643	1,092	508
31 Jan 22	1,219	-680	1,009	467
31 Oct 21	1,026	-747	944	438
31 Jul 21	851	-761	878	396
30 Apr 21	712	-649	753	314
31 Jan 21	592	-539	655	238
31 Oct 20	489	-423	550	174
31 Jul 20	403	-343	468	127
30 Apr 20	330	-358	445	117
31 Jan 20	265	-349	401	105
31 Jan 19	97	-178	162	69

Veri	Son Güncelleme (UTC saati)
Şirket Analizi	2026/09/18 19:01
Gün Sonu Hisse Fiyatı	2026/09/17 00:00
Kazançlar	2026/07/31
Yıllık Kazançlar	2026/01/31

Paket	Veri	Zaman Çerçevesi	Örnek ABD Kaynağı ^*
Şirket Finansalları	10 yıl	Gelir tablosu Nakit akış tablosu Bilanço	SEC Form 10-K SEC Form 10-Q
Analist Konsensüs Tahminleri	+3 yıl	Finansal tahminler Analist fiyat hedefleri	Analist Araştırma Raporları Blue Matrix
Piyasa Fiyatları	30 yıl	Hisse senedi fiyatları Temettüler, Bölünmeler ve Eylemler	ICE Piyasa Verileri SEC Form S-1
Sahiplik	10 yıl	En büyük hissedarlar İçeriden öğrenenlerin ticareti	SEC Form 4 SEC Form 13D
Yönetim	10 yıl	Liderlik ekibi Yönetim Kurulu	SEC Form 10-K SEC Form DEF 14A
Önemli Gelişmeler	10 yıl	Şirket duyuruları	SEC Form 8-K

Analist	Kurum
Adam Shepherd	Arete Research Services LLP
Jamie Shelton	Arete Research Services LLP
William Power	Baird

Snowflake Geçmiş Kazanç Performansı

Geçmiş kriter kontrolleri 0/6

Anahtar bilgiler

Yakın geçmiş performans güncellemeleri

Second quarter 2027 earnings released: US$0.55 loss per share (vs US$0.89 loss in 2Q 2026)

Snowflake Inc. to Report Q2, 2027 Results on Sep 02, 2026

First quarter 2027 earnings released: US$0.86 loss per share (vs US$1.29 loss in 1Q 2026)

Snowflake Inc. to Report Q1, 2027 Results on May 27, 2026

Full year 2026 earnings released: US$3.95 loss per share (vs US$3.86 loss in FY 2025)

Snowflake Inc. to Report Q4, 2026 Results on Feb 25, 2026

Recent updates

Insider recently sold Mex$71m worth of stock

Snowflake Inc. Raises Earnings Guidance for the Full-Year of Fiscal 2027

Snowflake Inc. Provides Earnings Guidance for the Third Quarter of 2027

Second quarter 2027 earnings released: US$0.55 loss per share (vs US$0.89 loss in 2Q 2026)

Alteryx Announces Alteryx One Launch on Snowflake Marketplace

Snowflake Inc. to Report Q2, 2027 Results on Sep 02, 2026

Snowflake Introduces Cortex AI Gateway And AI Security Innovations For Trusted Agent Interoperability

Independent Director recently sold Mex$3.1m worth of stock

Independent Director recently sold Mex$3.1m worth of stock

Now 20% overvalued after recent price rise

Independent Director recently sold Mex$3.1m worth of stock

Independent Director recently sold Mex$3.1m worth of stock

Snowflake Inc.(NYSE:SNOW) dropped from Russell Top 200 Growth Benchmark

Now 28% overvalued after recent price rise

Insider recently sold Mex$38m worth of stock

Snowflake Announces New AI Innovations And Enhancements To Snowflake CoWork

Snowflake Announces Major New Capabilities For Snowflake CoCo And Introduces Snowflake Datastream

Snowflake Inc. (NYSE:SNOW) agreed to acquire Natoma Labs, Inc.

First quarter 2027 earnings released: US$0.86 loss per share (vs US$1.29 loss in 1Q 2026)

Snowflake Inc., Annual General Meeting, Jun 29, 2026

Snowflake Inc. to Report Q1, 2027 Results on May 27, 2026

Now 21% undervalued after recent price drop

Snowflake Inc Expands Snowflake Intelligence and Cortex Code to Power the Control Plane for the Agentic Enterprise

Now 25% undervalued after recent price drop

Chief Accounting Officer recently sold Mex$6.6m worth of stock

Snowflake Inc. Announces Executive Changes

Chief Accounting Officer recently sold Mex$6.6m worth of stock

Snowflake Launches Project SnowWork

Full year 2026 earnings released: US$3.95 loss per share (vs US$3.86 loss in FY 2025)

Snowflake Inc. Provides Earnings Guidance for the First Quarter and Full Year of Fiscal 2027

Snowflake Inc's. Cortex Code Expands Towards Supporting Any Data, Anywhere

Now 23% overvalued

Snowflake Inc. (NYSE:SNOW) acquired TensorStax Inc.

Snowflake Inc. Unveils New Snowflake-Native Ai Coding Agent

Snowflake Inc. to Report Q4, 2026 Results on Feb 25, 2026

Snowflake Launches Energy Solutions for the Ai Data Cloud to Accelerate Shift to A Lower-Carbon Future

Snowflake Inc. (NYSE:SNOW) signed a definitive agreement to acquire Observe, Inc.

Senior Vice President of Engineering recently sold Mex$47m worth of stock

Chief Accounting Officer recently sold Mex$4.3m worth of stock

Chief Accounting Officer recently sold Mex$4.3m worth of stock

Chairman of the Board recently sold Mex$29m worth of stock

Third quarter 2026 earnings released: US$0.86 loss per share (vs US$0.98 loss in 3Q 2025)

Snowflake Inc. Provides Earnings Guidance for the Fourth Quarter and Full Fiscal Year 2026

Snowflake Inc. (NYSE:SNOW) completed the acquisition of Datometry Inc. from Dell Technologies Capital, Inc.

Snowflake Inc. Delivers the Enterprise Lakehouse with Enhanced Open Data Access and Flexibility for Agentic AI

Snowflake Inc. to Report Q3, 2026 Results on Dec 03, 2025

Senior Vice President of Engineering recently sold Mex$48m worth of stock

Snowflake Unveils Cortex AI for Financial Services: Enterprise-Ready AI Built to Scale

Snowflake Appoints Stella Low as Chief Communications Officer, Effective October 6

Chief Accounting Officer recently sold Mex$6.9m worth of stock

Snowflake Announces Chief Financial Officer Changes, Effective September 22, 2025

Second quarter 2026 earnings released: US$0.89 loss per share (vs US$0.95 loss in 2Q 2025)

Snowflake Inc. Provides Earnings Guidance for the Third Quarter of Fiscal Year 2026

Snowflake Inc. to Report Q2, 2026 Results on Aug 27, 2025

Snowflake Inc. Appoints Chris Niederman as Senior Vice President of Alliances & Channels, Effective July 21, 2025

Director recently sold Mex$14m worth of stock

Chief Accounting Officer recently sold Mex$10m worth of stock

Sigma Launches Native Semantic Layer Integration and AI SQL Capabilities on Snowflake AI Data Cloud

Snowflake Intelligence and Data Science Agent Deliver the Next Frontier of Data Agents for Enterprise AI and ML

Chief Accounting Officer recently sold Mex$19m worth of stock

Now 25% overvalued after recent price rise

Snowflake Inc. Revises Earnings Guidance for the Year 2026

Snowflake Inc., Annual General Meeting, Jul 02, 2025

Snowflake Drives the Future of Automotive with New AI-Powered Solutions

Now 21% overvalued

Snowflake Inc. to Report Q1, 2026 Results on May 21, 2025

Snowflake Unveils Apache Iceberg Tables

Snowflake Announces Chief Revenue Officer Changes

Snowflake Inc. Provides Earnings Guidance for the First Quarter and Full Year of Fiscal 2026