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.
UpdatedMarkets
25 words · 13 settled yes · our count agreed on 25 of 25- Kalshi: company speakers + operator
Kalshi - Polymarket: anyone
Polymarket
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.
| Word | Result | Our count | All speakers | Agrees | Probability | Market |
|---|---|---|---|---|---|---|
| AI 20+ times | Yes | 77 | 77 | ✓ | 84%transcripts from the transcript model | – |
| Quarter 15+ times | Yes | 33 | 33 | ✓ | 79%transcripts from the transcript model | – |
| Enterprise | Yes | 23 | 23 | ✓ | 96%transcripts from the transcript model | – |
| Consumption | Yes | 12 | 12 | ✓ | 94%transcripts from the transcript model | – |
| Fiscal 5+ times | Yes | 7 | 7 | ✓ | 52%transcripts from the transcript model | – |
| Cortex | Yes | 5 | 5 | ✓ | 95%transcripts from the transcript model | – |
| Security | Yes | 4 | 4 | ✓ | 83%n=1+tx from settlement history blended with transcripts | – |
| Open Source | Yes | 3 | 3 | ✓ | 52%n=3+tx from settlement history blended with transcripts | – |
| Code | Yes | 2 | 2 | ✓ | 91%transcripts from the transcript model | – |
| AWS | Yes | 1 | 1 | ✓ | 77%n=3+tx from settlement history blended with transcripts | – |
| OpenAI | Yes | 1 | 1 | ✓ | 65%transcripts from the transcript model | – |
| Azure | Yes | 1 | 1 | ✓ | 61%n=3+tx from settlement history blended with transcripts | – |
| Backlog | Yes | 1 | 1 | ✓ | 57%transcripts from the transcript model | – |
| Cloud 10+ times | No | 7 | 7 | ✓ | 48%transcripts from the transcript model | – |
| Snowflake Intelligence | No | 0 | 0 | ✓ | 94%transcripts from the transcript model | – |
| Hiring | No | 0 | 0 | ✓ | 77%n=3+tx from settlement history blended with transcripts | – |
| Iceberg | No | 0 | 0 | ✓ | 53%n=3+tx from settlement history blended with transcripts | – |
| Europe | No | 0 | 1 | ✓ | 36%n=3+tx from settlement history blended with transcripts | – |
| Healthcare | No | 0 | 0 | ✓ | 34%transcripts from the transcript model | – |
| Databricks | No | 0 | 0 | ✓ | 33%transcripts from the transcript model | – |
| Crunchy Data | No | 0 | 0 | ✓ | 26%transcripts from the transcript model | – |
| Accenture | No | 0 | 0 | ✓ | 25%n=1+tx from settlement history blended with transcripts | – |
| Retail | No | 0 | 0 | ✓ | 20%transcripts from the transcript model | – |
| Claude | No | 0 | 0 | ✓ | 16%n=1+tx from settlement history blended with transcripts | – |
| Competition | No | 0 | 0 | ✓ | 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 wordsSpeaker-labelled transcript · Source and credits · Used to count words; quotes of at most 25 words.
23 matches for “Enterprise”; 5 quoted, at least 25 words apart.
…a 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…
…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,…
…customers are building faster, executing more efficiently, and reimagining their businesses in ways that weren't possible before. Put simply, the agentic enterprise runs on Snowflake.
To power their AI initiatives, enterprises need a governed, unified foundation for data and context, and companies across industries are turning to Snowflake to power…
…structural multiplier for our business. Together, these dynamics show how the agentic enterprise has created a powerful flywheel across our business, and that flywheel is…
Where the listed words were said
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…
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…
…Stable Edge, demonstrating Snowflake's role as the circulatory system of the modern enterprise. We enable data, applications, and AI agents to move securely and seamlessly,…
…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…
…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…
…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…
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…
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…
…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…
…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…
…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