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.

7 matches for “Cloud”; 5 quoted, at least 25 words apart.

Sridhar Ramaswamycompanyprepared

Customers continue to turn to Snowflake because our AI Data Cloud is easy to use, seamlessly connected for collaboration, and trusted, with enterprise-grade governance and…

Brian Robinscompanyprepared

…Forbes Global 2000 customers, bringing our total to 829. Our AI Data Cloud now supports over 41% of the Forbes Global 2000. Within our existing…

Brian Robinscompanyprepared

…today. We are delivering continued operating margin expansion as we offset growing cloud costs with slowing headcount expense. We are increasing our FY 2027 non-GAAP…

Sanjit Singhanalystqa

…went public, growth was being driven by a lot of investment in cloud-native companies that may have been unprofitable. I wanted to ask the question…

Sridhar Ramaswamycompanyqa

…own, but it's also the case that they are available in other clouds than the ones that they started with. We are absolutely seeing a…

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

…new opportunities for growth. Third, AI activation continues to lift overall platform consumption. Customers using AI on Snowflake consume more across the data platform, creating…

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

…costs. To help our customers optimize cost, performance, and speed, we've introduced Cortex AI Gateway, which dynamically routes each task to the right model based…

Sridhar Ramaswamycompany“Security” · prepared

Sayari, whose risk intelligence supports Fortune 100 enterprises and national security agencies, chose Snowflake to rebuild its global data infrastructure and cut costs by more…

Sridhar Ramaswamycompany“Open Source” · qa

…within Snowflake. Yes, we have pretty different economics when it comes to open source models since we run the inference ourselves. So that offers a…

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“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