SNOW Surges 38% After Earnings Blowout as $6B AWS AI Deal Reignites Growth Narrative

Snowflake earnings: SNOW stock jumps 38% after strong earnings, raised guidance, and a massive $6B AWS AI infrastructure deal.

SNOW Surges 38% After Earnings Blowout as $6B AWS AI Deal Reignites Growth Narrative

Quick overview

  • Snowflake's shares surged after a strong fiscal Q1 report, with revenue of $1.39 billion, exceeding analyst expectations.
  • The company announced a $6 billion partnership with AWS to enhance enterprise AI adoption, marking a significant strategic shift.
  • Snowflake's stock has shown bullish momentum, breaking out of a prolonged downtrend and attracting institutional buying.
  • The latest developments position Snowflake as a key player in AI infrastructure, despite ongoing valuation risks.

Shares of Snowflake exploded higher in after-hours trading Wednesday after the cloud data company delivered one of its strongest quarters in years, raised full-year guidance, and unveiled a massive $6 billion expansion deal with Amazon Web Services focused on accelerating enterprise AI adoption.

The rally marks a dramatic reversal for one of the software sector’s biggest laggards over the past year. Snowflake stock had fallen more than 50% over the previous six quarters before the latest results triggered renewed optimism around AI-driven demand.

Snowflake Earnings Beat Crushes Expectations

Snowflake reported fiscal Q1 revenue of $1.39 billion, up 33.5% year over year and ahead of analyst estimates of $1.32 billion.

Key highlights included:

  • Product revenue surged 33.9% to $1.33 billion
  • Adjusted EPS rose to $0.39 versus expectations of $0.32
  • Product revenue posted the strongest sequential dollar growth in company history
  • 46 customers now spend over $1 million annually, up from 26 last year
  • Product revenue guidance for FY2027 raised to $5.84 billion from $5.66 billion

Management also projected Q2 product revenue between $1.415 billion and $1.42 billion, comfortably above Wall Street expectations near $1.37 billion.

The company has now beaten EPS estimates for four consecutive quarters.

CEO Sridhar Ramaswamy called the quarter a “milestone” for Snowflake’s AI transformation strategy as enterprise customers increasingly deploy AI directly on governed data infrastructure.

$6 Billion AWS Partnership Changes the AI Narrative

The biggest catalyst may not have been earnings alone.

Snowflake simultaneously announced a $6 billion commitment to expand its collaboration with AWS over the next five years, dramatically increasing its use of Amazon’s Graviton AI chips and cloud-based GPU infrastructure.

The agreement highlights how quickly enterprise AI workloads are scaling.

Key strategic implications include:

  • Faster deployment of enterprise AI applications
  • Greater integration between Snowflake and AWS infrastructure
  • Expanded use of Arm-based AI computing
  • Increased exposure to agentic AI workloads
  • Stronger positioning against rivals like Databricks and Google Cloud

The deal also reinforces a broader industry shift toward AI infrastructure optimization.

Unlike traditional chatbot AI, emerging agentic AI systems require massive compute orchestration across CPUs, GPUs, and cloud databases. Snowflake increasingly sits at the center of that workflow because enterprise AI systems depend heavily on governed data access.

Snowflake also announced the acquisition of AI startup Natoma, further signaling aggressive expansion into enterprise AI tooling.

SNOW Surges 38% After Earnings Blowout as $6B AWS AI Deal Reignites Growth Narrative
Why is SNOW stock surging after Snowflake earnings?

SNOW Technical Analysis: Momentum Has Turned Violently Bullish

Technically, Snowflake’s chart has undergone a major regime change.

After trading in a prolonged downtrend for much of 2025, the stock appears to have triggered a decisive breakout fueled by earnings momentum and institutional buying.

Key Technical Signals

  • After-hours rally exceeded 37%
  • Stock is approaching multi-year resistance zones
  • Volume exploded to extreme levels
  • Momentum indicators turned sharply bullish
  • AI software sentiment has rapidly improved

The move also positions Snowflake for its strongest monthly gain since November 2024.

Moving Averages

Snowflake now trades well above major trend indicators:

  • 20-day moving average: bullish
  • 50-day moving average: bullish crossover setup
  • 200-day moving average: long-term trend recovery underway

If the after-hours gains hold, the stock could confirm a major long-term breakout pattern.

RSI and MACD

RSI

  • RSI likely entering overbought territory after the parabolic move
  • Momentum remains extremely strong
  • Pullback volatility risk has increased sharply

MACD

  • MACD has turned decisively bullish
  • Momentum acceleration confirms institutional buying
  • No major reversal signals have appeared yet

The setup resembles previous AI momentum breakouts seen across semiconductor and infrastructure stocks earlier this year.

Key Support and Resistance Levels

Level Type Approximate Area
Immediate Resistance $245–$250
Major Resistance $275
Near-Term Support $210–$220
Secondary Support $185
Major Trend Support $155–$160

A sustained breakout above the $250 region could open the door for further institutional momentum flows. However, software stocks remain highly volatile after large post-earnings gaps.

Why Wall Street Is Repricing Snowflake Stock

The latest quarter fundamentally changed the debate around Snowflake.

For much of the past year, investors feared generative AI would commoditize software infrastructure and weaken consumption-based cloud models.

Instead, Snowflake is increasingly emerging as a direct beneficiary of enterprise AI deployment.

Several trends now support the bull case:

  • AI workloads require massive data orchestration
  • Enterprises prefer governed AI environments
  • Snowflake’s consumption model scales with AI compute demand
  • Large enterprise spending continues accelerating
  • Strategic AWS partnership strengthens competitive positioning

The surge in million-dollar customers particularly suggests enterprise AI adoption is moving from experimentation toward production-scale deployment.

Long-Term Outlook: Snowflake Is Becoming an AI Infrastructure Platform

Snowflake increasingly looks less like a traditional analytics company and more like a foundational AI infrastructure platform.

The company sits at the intersection of:

  • Enterprise data warehousing
  • AI model deployment
  • Cloud compute orchestration
  • Governance and compliance
  • Multi-cloud enterprise architecture

That positioning could become increasingly valuable as agentic AI adoption expands globally.

Still, valuation risk remains significant.

Even after the previous correction, Snowflake continues trading at premium software multiples relative to slower-growing peers. Investors will likely demand sustained 30%+ growth and continued AI monetization progress to justify further upside.

The next several quarters may determine whether Snowflake evolves into one of the dominant AI-era software platforms or remains a highly cyclical growth stock tied to enterprise spending conditions.

ABOUT THE AUTHOR See More
Arslan Butt
Lead Markets Analyst – Multi-Asset (FX, Commodities, Crypto)
Arslan Butt serves as the Lead Commodities and Indices Analyst, bringing a wealth of expertise to the field. With an MBA in Behavioral Finance and active progress towards a Ph.D., Arslan possesses a deep understanding of market dynamics. His professional journey includes a significant role as a senior analyst at a leading brokerage firm, complementing his extensive experience as a market analyst and day trader. Adept in educating others, Arslan has a commendable track record as an instructor and public speaker. His incisive analyses, particularly within the realms of cryptocurrency and forex markets, are showcased across esteemed financial publications such as ForexCrunch, InsideBitcoins, and EconomyWatch, solidifying his reputation in the financial community.

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