How many Snowflake customers will have >$1m trailing 12-month revenue in Q2 2027?

Prediction market odds on this market reflect real-time trader consensus, which often diverges from traditional analyst forecasts. While equity analysts typically publish quarterly guidance and long-term revenue projections, prediction markets aggregate distributed information from many participants with direct financial incentives to forecast accurately. Comparing the current market price to published analyst expectations on Snowflake's customer concentration and revenue trends can reveal where the crowd sees upside or downside risk. This market's odds represent a dynamic, crowd-sourced view that updates faster than formal analyst revisions.

On Kalshi, this market is priced through a continuous order book where traders buy and sell shares representing YES or NO outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share settles to $1 if the outcome occurs or $0 if it does not, so the current price directly reflects the implied probability. Traders place limit and market orders to express their conviction on Snowflake's $1M+ customer count, and the spread between bid and ask prices tightens as volume increases. This mechanism ensures transparent, real-time price discovery driven by supply and demand.

This market resolves around Dec 24, 2026, with the outcome confirmed once verified against credible public sources. The resolution hinges on whether Snowflake will report customers with trailing 12-month revenue exceeding $1 million during Q2 2027. Traders should monitor Snowflake's quarterly earnings reports, investor presentations, and SEC filings for customer metrics and revenue concentration data. The exact count and threshold will be determined from official company disclosures closest to the resolution date.

Several catalysts could shift odds significantly. Snowflake's quarterly earnings announcements and customer concentration disclosures will be primary drivers, especially any commentary on large enterprise wins or churn. Broader cloud infrastructure spending trends, competitive pressures from AWS, Azure, and Google Cloud, and macroeconomic conditions affecting enterprise IT budgets will influence trader expectations. Product announcements, pricing changes, and management guidance on customer growth rates could also trigger sharp repricing. Additionally, any material changes to Snowflake's customer base composition or revenue mix will be closely watched by market participants.