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.
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 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.
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