Snowflake Inc. develops the AI Data Cloud, a cloud-native platform used by enterprises to build, use and share data, applications and AI across governed data environments. Company news commonly covers financial results, product revenue trends, customer adoption, platform expansion and go-to-market execution.
Recurring updates include AI and data-product announcements tied to Snowflake Intelligence, Cortex Code and Project SnowWork; customer and industry research on generative and agentic AI; user-conference developments; and leadership changes affecting revenue, sales and governance roles. Snowflake’s disclosures also emphasize data sharing, interoperability, security and governance as operating themes within its enterprise software platform.
Lumen Technologies (LUMN) and Snowflake (SNOW) announced their intent to collaborate on simplifying private data connectivity across enterprise environments.
The companies plan to combine Lumen’s programmable network with Snowflake’s AI Data Cloud. Their proposed approach uses Snowflake’s Data Connectivity Proxy, a secure connectivity layer designed to be pre-installed on Lumen infrastructure, to move data over Lumen’s private fiber networks. Customers can already use integrated capabilities for secure connectivity across hybrid environments. The companies intend to explore additional ways to make private connections easier to establish and manage.
Snowflake (SNOW) has appointed database researcher Jeff Naughton as Technical Fellow to work with its engineering teams on data infrastructure. His role includes translating systems research into platform capabilities for AI workloads and deepening connections with academic researchers. Naughton most recently served as Senior Vice President and Fellow at Celonis and previously worked at Google and UW–Madison.
Snowflake (NYSE: SNOW) will host its virtual Expedition 2026 event November 3–5, 2026 in the Americas, with free registration. Global regions will stream the event November 4–6, 2026. The event expands the former BUILD developer conference to technical, sales and marketing, and finance audiences, with separate sessions for leaders and hands-on practitioners.
Snowflake CEO Sridhar Ramaswamy and Microsoft Chairman and CEO Satya Nadella will appear in a pre-recorded conversation about moving enterprise AI from experimentation into production. Snowflake plans to unveil innovations for connecting data, adding business context to AI, and putting AI workflows into production. Registration is open to customers, partners, and data and AI practitioners globally.
Snowflake (SNOW) priced an upsized $3.75 billion private placement of zero-interest convertible notes maturing in 2029 and 2031. The offering comprises $2.0 billion of 2029 notes and $1.75 billion of 2031 notes, up from a previously announced $3.5 billion. The sale is expected to close October 1, 2026, subject to customary closing conditions. Estimated net proceeds are approximately $3.70 billion, or approximately $4.24 billion if purchasers exercise their options in full.
The initial conversion prices are approximately $500.38 for the 2029 notes and $483.98 for the 2031 notes. Snowflake expects to spend approximately $383.5 million on capped calls, which it expects to limit conversion-related dilution or excess cash payments, subject to a cap. The capped calls have an initial cap price of $820.30 per share. Snowflake also expects to spend approximately $548.3 million to repurchase approximately $261.8 million principal of its 2027 notes.
Snowflake (SNOW) plans a $3.5 billion private placement of convertible senior notes, subject to market conditions.
The proposed offering comprises $1.3 billion of 0.00% notes due October 15, 2029, and $2.2 billion of 0.00% notes due October 15, 2031. Initial purchasers would have options to buy up to $200.0 million and $300.0 million more, respectively. The notes would be unsecured and bear no regular interest. Snowflake could settle conversions in cash, shares or both; initial conversion rates will be set at pricing.
Snowflake expects to use proceeds for capped call transactions, potential cash repurchases of its 2027 convertible notes and general corporate purposes. The capped calls could limit conversion-related dilution or offset certain cash payments, subject to a cap. The amount and terms of any 2027-note repurchases remain uncertain, and the offering does not depend on them.
Sayari is rebuilding its Commercial World Model on Snowflake's AI Data Cloud, turning a decade of primary-source deep web data into a single AI-ready foundation for its products.
The company will reprocess 12 billion records from 715 sources across 250 jurisdictions, including about 1 billion original documents in more than 20 languages and scripts. Sayari estimates earlier deterministic extraction left up to 75% of useful contextual information uncaptured. The Snowflake-based rebuild is expected to make that data readable at global scale and to cut Sayari's data infrastructure costs by more than 50%, based on company projections.
Snowflake (SNOW) reported second quarter fiscal 2027 results for the period ended July 31, 2026, highlighted by strong product revenue growth and raised full-year guidance.
Total revenue was $1.55 billion, up 35% year-over-year, including product revenue of $1.49 billion, up 37%. Net revenue retention was 126%. The company reported 828 customers with over $1 million in trailing 12‑month product revenue, up 27% year-over-year, and 829 Forbes Global 2000 customers. Remaining performance obligations were $9.00 billion, up 30% year-over-year.
GAAP product gross profit was $1.06 billion (70.9% margin) and non-GAAP product gross profit was $1.11 billion (74.7% margin. GAAP operating loss was $263.0 million (‑17.0% margin), while non-GAAP operating income was $237.0 million (15.3% margin). Net cash from operations was $91.4 million (5.9% of revenue) and adjusted free cash flow was $92.3 million (6.0% of revenue).
Snowflake added 692 net new customers, up 32% year-over-year, including 14 net new Forbes Global 2000 customers. AI offerings CoCo and CoWork reached 9,100 and 5,800 accounts, respectively. For Q3, Snowflake guides to product revenue of $1.588–$1.593 billion (37–38% growth) and a non-GAAP operating margin of 15.5%. For fiscal 2027, it raised product revenue guidance to $6.07 billion (36% growth) and now expects non-GAAP operating margin of 14.5% and non-GAAP adjusted free cash flow margin of 23.0%.
Snowflake (NYSE: SNOW) announced dynamic model routing in Cortex AI Gateway and its flagship AI products Snowflake CoCo and Snowflake CoWork, aiming to improve AI economics by automatically selecting models based on quality, speed, preferences, and cost for each task.
The company is expanding access to leading open models, including DeepSeek-V4-Flash 0731 and GLM-5.3, while keeping governed data within Snowflake. New controls let enterprises track token usage and costs, allocate spend by team, set quotas and limits, and manage AI consumption across apps and agents. Internal testing shows mixed-model routing can maintain quality while materially improving token efficiency in tasks like building dbt pipelines and handling engineering pull-requests.
Snowflake (NYSE: SNOW) announced that CEO Sridhar Ramaswamy and CFO Brian Robins will present at the Goldman Sachs Communacopia + Technology Conference 2026 on September 8, and that Robins will speak at Citi’s 2026 Global TMT Conference on September 10 and Piper Sandler’s Growth Frontiers Conference on September 15. Webcasts will be available via Snowflake’s investor relations website for 30 days.
Snowflake (NYSE: SNOW) plans to release its financial results for the second quarter of fiscal year 2027, covering the period ended July 31, 2026, after U.S. market close on Wednesday, September 2, 2026. The company will discuss the results on a same-day conference call and live webcast.
The call begins at 2 p.m. Pacific Time on September 2, 2026, with U.S. participants dialing 1-800-330-6730 and international participants dialing 1-646-769-9500 using access code 102163. A replay will be available for 30 days on Snowflake’s investor relations website.