Snowflake rallies as outlook lift revives tech bets

A stock jumping 38 percent in one trading session is not a normal Thursday.

For an Indian investor holding US tech shares, Snowflake suddenly looked like a bruised stock finding its voice again. The data cloud company’s shares opened at $237 on May 28, far above Wednesday’s $175.26 close.

By the day’s high of $240, the stock had more than doubled from its yearly low of $118.30. Put simply, a $5,000 holding near that low would have briefly looked worth over $10,000.

Snowflake’s May comeback stuns markets

Snowflake’s May rally has been sharp enough to make even seasoned market watchers pause.

The stock is up 76 percent so far this month. That matters because it had fallen for six straight months before this rebound. During that weak spell, it lost nearly half its value.

This is the sort of move that reminds investors why growth stocks can be both thrilling and punishing. They fall hard when sentiment turns. They rise just as violently when the story improves.

For Indian retail investors using global investing platforms, the lesson is familiar. A stock can look finished for months, then reprice in one afternoon after earnings and guidance change.

Snowflake’s rise also comes after a difficult period for software firms. Over the past year, investors have chased companies seen as direct winners from artificial intelligence. Traditional software names had to prove they were not being left behind.

On Thursday, Snowflake gave the market a cleaner answer. It showed stronger revenue, raised its forecast, and announced a large cloud infrastructure commitment.

The AWS deal changed the mood

The biggest talking point was Snowflake’s five-year, $6 billion commitment with Amazon Web Services.

That is not a small vendor agreement. It tells investors that Snowflake expects heavy demand for data and AI workloads in the coming years. These workloads need huge computing power.

Snowflake said the arrangement will include Amazon’s Graviton chips. These are general-purpose processors made by Amazon and used inside AWS data centres.

They compete with chips from Intel, which has long dominated server processors. For ordinary readers, think of this as Snowflake locking in its future factory floor.

The factory here is digital. Snowflake sells data tools. Its customers use those tools to store, organise, analyse, and now apply AI to company data.

The company expects the AWS commitment to help it secure better pricing at scale. In plain English, Snowflake is trying to buy cloud capacity in bulk before demand gets even more expensive.

That matters for margins. A margin is what remains after costs. If Snowflake pays less for infrastructure, it gets more breathing room on profits.

Chief executive Sridhar Ramaswamy said the partnership would help companies bring AI closer to governed data. Governed data means information that follows rules on access, privacy, and compliance.

That point is important for banks, insurers, retailers, hospitals, and large IT firms. They cannot simply throw sensitive data into random AI tools and hope for the best.

Earnings gave investors numbers

The quarterly numbers also helped.

For the fiscal first quarter ended April 30, Snowflake reported product revenue of $1.33 billion. That was up 34 percent from a year earlier.

Analysts had expected about $1.27 billion. So Snowflake beat the market’s revenue expectation by roughly $60 million.

Product revenue is the main figure to watch here. It contributes about 95 percent of Snowflake’s total revenue. So when this line grows, the core business is growing.

Snowflake also guided second-quarter product revenue between $1.415 billion and $1.420 billion. That implies growth of about 30 percent.

The company raised its full-year FY27 product revenue forecast to $5.84 billion. In February, it had expected $5.66 billion.

That $180 million increase may not sound huge against a trillion-dollar tech market. But for a growth stock, guidance often matters more than the last quarter.

Investors pay for what they think a company can earn tomorrow. When management lifts that view, the market quickly changes its price.

Snowflake also lifted its non-GAAP operating margin guidance to 13.5 percent. Non-GAAP means the company excludes some accounting costs to show operating performance.

Investors use it, but they should read it carefully. It is useful, not perfect. The cleaner test over time is whether cash flows and profits keep improving.

One softer number sat inside the report. Remaining performance obligations stood at $9.21 billion, below the expected $9.43 billion.

This figure shows contracted revenue that has not yet been recognised. It is a rough bookings signal. So the miss tells investors not every line was perfect.

AI optimism meets old caution

The market did not care much about that softer bookings figure on Thursday.

The AWS deal and raised outlook carried more weight. Investors seemed to decide that Snowflake’s AI story had become more credible.

That is the real point. In today’s US tech market, companies cannot merely say they use AI. They must show where AI sits inside revenue, costs, and customer demand.

Snowflake’s pitch is simple. Companies already keep huge piles of data on its platform. If AI tools can work on that data safely, customers may spend more.

For Indian companies, this theme feels close to home. Large banks, IT services firms, ecommerce players, and telecom companies all sit on vast data sets.

They want AI, but they also fear leaks, regulatory trouble, and messy data. A tool that keeps control while adding intelligence will get attention.

That is why Snowflake’s rally is bigger than one stock chart. It signals that investors still reward enterprise software, if the AI use case feels practical.

But a 38 percent jump also raises a practical question. Has the stock moved ahead of the business again?

After such a surge, expectations rise. The company must now show that large cloud commitments translate into lasting growth, not just a headline-friendly deal.

Retail investors should watch three things next. Product revenue growth must stay near guidance. Margins must improve as cloud costs scale. Customer demand for AI tools must show up in bookings.

For Indians holding US tech through mutual funds, ETFs, or direct overseas accounts, Snowflake is a reminder of market speed. In a high-rate, AI-driven cycle, money moves fast toward confidence and away from doubt.

The deeper story is not just that one American software stock bounced. It is that the AI race has entered its harder phase. Companies must now prove that clever tools can become steady revenue.

For ordinary investors, that means patience still matters. A hot day in the market can repair months of pain. But the real wealth comes only if the business keeps earning its new price.