To The Moon

$Snowflake(SNOW)$’s first-quarter acceleration and five-year agreement to spend $6 billion with $Amazon.com(AMZN)$ Web Services transformed investor expectations. The partnership secures important computing capacity and distribution, but Snowflake must convert those contracted infrastructure costs into durable consumption revenue without sacrificing margins.

Snowflake reported on May 27 for the quarter ended April 30. Revenue increased 33% to $1.39 billion and product revenue rose 34% to $1.33 billion. Remaining performance obligations increased 38% to $9.21 billion, net-revenue retention was 126%, and 779 customers generated more than $1 million of trailing-12-month product revenue. Snowflake’s SEC-filed first-quarter release provides the operating metrics.

Management raised expected fiscal-2027 product revenue to $5.84 billion from $5.66 billion and guided for second-quarter product revenue of $1.415–$1.420 billion. The next report covers the quarter ended July 31 and is scheduled after the September 2 close, according to Snowflake’s official announcement.

The bullish thesis is that useful AI requires governed enterprise data. Snowflake lets customers store, analyse and share information across clouds while deploying models and agents near that data. The 126% retention rate indicates existing customers are spending more, and the rapid growth in large accounts suggests workloads are becoming more strategic.

Its AWS agreement combines Graviton compute, AI infrastructure and deeper marketplace distribution. Reuters’ May 27 report explains the five-year commitment and forecast increase.

The bearish case is that consumption revenue is less predictable than subscriptions. Customers can optimise queries or delay projects, causing usage to slow quickly. Snowflake also depends on AWS, Azure and Google Cloud for infrastructure while competing with services those providers sell directly.

A $6 billion minimum commitment improves access to capacity but can weaken economics if usage fails to grow as planned. Databricks and hyperscaler-native databases remain formidable alternatives.

Stock-based compensation and GAAP losses also matter. Adjusted profitability can improve while dilution transfers part of the value to employees. At $332.78, Snowflake’s valuation embeds sustained growth, so product-revenue guidance and remaining obligations need to confirm that the May re-rating was based on consumption rather than enthusiasm alone.

SNOW gained 3.6% on August 21 after opening at $321.66, falling to $314.20 and closing near the $333.28 high on 3.26 million shares. That bullish reversal makes $333–$335 immediate resistance and $314–$320 initial support. The larger support zone is $295–$305; a breakout above $335 could target the prior $350 region, but the September report remains the dominant catalyst.

Because the shares are approaching resistance ahead of earnings, patience improves the setup. If SNOW retests and holds $300–$305, then resumes above $320, a 30–45-day $285/$275 bull put spread, or strikes near 0.10–0.15 short-put delta below support, would express a bullish bias with defined loss. The position should not be carried blindly through September 2. A close below $295 invalidates the technical premise. Maximum loss equals the $10 width minus credit.

The evidence leans moderately bullish because product revenue, obligations, retention and large-customer growth accelerated together. The view would be invalidated by usage optimisation returning, second-quarter product revenue missing $1.415 billion, the AWS commitment compressing margins or the shares losing $295 while estimates fall. This is personal opinion for education and is not financial advice; it is not an instruction to enter any trade.

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Disclaimer: This article is for informational and educational purposes only and does not constitute financial, investment, or trading advice. The views expressed are personal opinions based on publicly available information and are subject to change without notice. Investors should conduct their own research and consider their financial situation, risk tolerance, and investment objectives before making any investment decisions. I do not guarantee the accuracy or completeness of the information presented.