Snowflake (SNOW): FY27 Q2 earnings call, Sep 2, 2026

On its Sep 2, 2026 earnings call (FY27 Q2), Snowflake said 13 of the 25 words Kalshi and Polymarket listed; Parrot’s count agreed with all 25 settlements. Quotes below are at most 25 words each.

Updated

Markets

25 words · 13 settled yes · our count agreed on 25 of 25

backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.

Listed words: result, our count under the market rule, the count over every speaker, whether they agree, and the probability (a walk-forward backtest on settled rows)
WordResultOur countAll speakersAgreesProbabilityMarket
AI 20+ timesYes7777✓84%transcripts from the transcript model–
Quarter 15+ timesYes3333✓79%transcripts from the transcript model–
Enterprise Yes2323✓96%transcripts from the transcript model–
Consumption Yes1212✓94%transcripts from the transcript model–
Fiscal 5+ timesYes77✓52%transcripts from the transcript model–
Cortex Yes55✓95%transcripts from the transcript model–
Security Yes44✓83%n=1+tx from settlement history blended with transcripts–
Open Source Yes33✓52%n=3+tx from settlement history blended with transcripts–
Code Yes22✓91%transcripts from the transcript model–
AWS Yes11✓77%n=3+tx from settlement history blended with transcripts–
OpenAI Yes11✓65%transcripts from the transcript model–
Azure Yes11✓61%n=3+tx from settlement history blended with transcripts–
Backlog Yes11✓57%transcripts from the transcript model–
Cloud 10+ timesNo77✓48%transcripts from the transcript model–
Snowflake Intelligence No00✓94%transcripts from the transcript model–
Hiring No00✓77%n=3+tx from settlement history blended with transcripts–
Iceberg No00✓53%n=3+tx from settlement history blended with transcripts–
Europe No01✓36%n=3+tx from settlement history blended with transcripts–
Healthcare No00✓34%transcripts from the transcript model–
Databricks No00✓33%transcripts from the transcript model–
Crunchy Data No00✓26%transcripts from the transcript model–
Accenture No00✓25%n=1+tx from settlement history blended with transcripts–
Retail No00✓20%transcripts from the transcript model–
Claude No00✓16%n=1+tx from settlement history blended with transcripts–
Competition No00✓15%n=3+tx from settlement history blended with transcripts–

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 21, 2026 04:22 UTC.

Transcript

quotes of at most 25 words

Speaker-labelled transcript · Source and credits · Used to count words; quotes of at most 25 words.

48 matches for “CoCo”; 5 quoted, at least 25 words apart.

Sridhar Ramaswamycompanyprepared

…turning to Snowflake to power that foundation. Second, our first-party AI products, CoCo and CoWork, continue to see rapid adoption. As customers build and deploy…

Sridhar Ramaswamycompanyprepared

…more of their mission-critical work on Snowflake, and in several cases, adopting CoCo to move faster. The pattern is consistent. The more our customers build…

Sridhar Ramaswamycompanyprepared

…control plane for the agentic enterprise. Our breakout AI products, CoWork and CoCo, bring that vision to life. They provide a governed layer where users…

Sridhar Ramaswamycompanyprepared

…and cut costs by more than half. Its engineers are now using CoCo to accelerate the migration of 12 billion records into an AI-ready foundation.…

Sridhar Ramaswamycompanyprepared

…company trusted by more than 200,000 businesses, which choose Snowflake for our CoCo capabilities. CoCo enables their team to move key data pipelines into Snowflake…

Where the listed words were said

Sridhar Ramaswamycompany“AI (20+)” · prepared

…once-in-a-lifetime technology shift, and Snowflake remains at the center of the enterprise AI revolution. AI is fundamentally changing how enterprises build, operate, and make decisions.…

Operatoroperator“Quarter (15+)” · prepared

Good day, and welcome to the Second Quarter FY 2027 Snowflake Earnings Presentation. Today's conference is being recorded. At this time, I would like to…

Sridhar Ramaswamycompany“Enterprise” · prepared

…transformation a reality. We bring together the core elements of an agentic enterprise, a governed data foundation, access to leading AI models, deep application workflows,…

Sridhar Ramaswamycompany“Consumption” · prepared

…more broadly and with greater confidence, creating another catalyst for adoption and consumption on Snowflake. Cortex AI Gateway also extends AI from insight to action…

Katherine Mc Crackencompany“Fiscal (5+)” · prepared

…today's call, we will review our financial results for the second quarter fiscal 2027 and discuss our guidance for the third quarter and full year…

Sridhar Ramaswamycompany“Cortex” · prepared

…understand the unique context of a business. At Snowflake Summit, we introduced Cortex Sense, which captures the business definitions and institutional knowledge an AI agent…

Sridhar Ramaswamycompany“Security” · prepared

…to use, seamlessly connected for collaboration, and trusted, with enterprise-grade governance and security. This quarter, we added 692 net new customers, including 14 from the…

Sridhar Ramaswamycompany“Open Source” · qa

This is also where open source models come in. There's obviously been several generations of these open source models, and we support many of them…

Ryan Mac Williamsanalyst“Code” · qa

…change on why AI is accelerating Snowflake revenues now? Is it Cortex Code helping users get activated on AI faster? Has it been some of…

Sridhar Ramaswamycompany“AWS” · qa

…to be somewhat of a dichotomy where Anthropic was available extensively on AWS, while the OpenAI models tended to be more on Azure. The material…

Sridhar Ramaswamycompany“Backlog” · qa

…because they see this as a way to get past the unending backlogs that they've had pretty much since time immemorial. That's a little bit…

Agents: this page as TSV at /api/v1/appearances/snowflake:2026-09-02:earnings_call · words: /api/v1/brief?appearance=snowflake:2026-09-02:earnings_call · columnar JSON in #parrot-data · llms.txt · MCP