By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel is divided on Snowflake's future, with concerns about heavy AWS dependency, potential margin compression, and unproven AI revenue, but also optimism about data gravity, ecosystem lock-in, and high-value customer stickiness.
Risk: Heavy AWS dependency and potential margin compression
Opportunity: Building a moat around the data layer and creating an ecosystem lock-in
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Snowflake (SNOW) is a stock investors should pay attention to right now. After years of promise, the company's artificial intelligence (AI) strategy has finally hit an inflection point. Product revenue grew 34% year-over-year (YOY) to $1.33 billion in the first quarter of fiscal 2027, beating the consensus estimate of $1.32 billion, while adjusted EPS came in at $0.39 against Wall Street's estimate of $0.32.
The tech stock surged more than 40% between May 28 and June 1. Currently, Snowflake has a market capitalization of $83.4 billion. The ongoing rally in SNOW stock is a sign that Snowflake is becoming a compounding AI story, creating a rare window for long-term investors.
Two products are driving the inflection: Snowflake Intelligence and Cortex Code, known internally as "CoCo."
Snowflake Intelligence gives business users a natural language way to query and analyze enterprise data, while CoCo is a general-purpose coding agent built specifically for data and AI workflows.
CoCo launched in February 2026, and more than 7,100 customer accounts adopted the product by the end of fiscal Q1. Notably, accounts using Snowflake Intelligence more than doubled quarter-over-quarter as well. "AI is compounding Snowflake's advantage in data," said CEO Sridhar Ramaswamy on the earnings call.
Customers using CoCo are building pipelines, migrating legacy workloads, and deploying AI agents at dramatically faster speeds. One partner, Infinite Lambda, used CoCo to build a full Customer 360 application in just five hours before a major pitch.
CFO Brian Robins added on the call that CoCo delivered a "step function change" in AI revenue potential and represented the largest single driver to the company's upward guidance revision.
The $6 Billion Amazon Deal Changes the Growth Picture
According to reports, Snowflake's partnership with Amazon (AMZN) has also expanded significantly. Specifically, Snowflake has signed a new five-year, $6 billion agreement with AWS. Under the new arrangement, Snowflake will expand its use of Amazon's Graviton chips along with cloud-based GPUs for AI workloads.
As AI shifts from simple chatbots to task-oriented agentic applications, this deal reflects how computing demands are changing. While graphics processing units are great for training AI models, agentic AI needs powerful general-purpose processors to move large amounts of data across workflows.
Amazon CEO Andy Jassy said on his company's most recent earnings call that Graviton allows companies like Meta (META) “to run the CPU-intensive workloads behind agentic AI with the performance and efficiency they need.” Meta (META) has also committed to hundreds of thousands of Graviton chips.
For Snowflake, the deal is a go-to-market win, given that AWS aims to expand investment and collaboration as part of the agreement. The partnership is already delivering; Snowflake has surpassed $7 billion in lifetime AWS Marketplace sales. The AWS deal was also fully incorporated into Snowflake's guidance raise for the year.
Snowflake's Natoma Acquisition Extends the Agentic Platform
Snowflake has also announced plans to acquire AI startup Natoma for an undisclosed sum. Natoma connects enterprise applications such as email, calendars, and project management tools to Snowflake's AI environment. Basically, Snowflake Intelligence and CoCo users will soon be able to send emails, check calendars, open tickets, and act across SaaS tools, all without leaving Snowflake's governed platform.
Rather than letting AI agents run loose across enterprise systems, Snowflake is building a control layer where every action is subject to security policies, permissions, and audit trails. Natoma brings everyday business applications into that controlled environment.
Ramaswamy described the opportunity bluntly: "The important point is not just convenience, it is control."
The Numbers Make the Bull Case Hard to Ignore
Beyond the headline beat, several metrics stood out for Snowflake in the quarterly report.
The net revenue retention rate climbed to 126%, for example, meaning existing customers are spending significantly more over time. Net new customer additions also rose 38% YOY to 616. The number of customers spending more than $1 million on a trailing 12-month basis reached 79, with 46 crossing that threshold in the quarter compared to just 26 a year earlier. What's more, Snowflake now has 64 customers spending more than $10 million on a trailing 12-month basis.
Management also raised full-year product revenue guidance to $5.84 billion, representing 31% growth. The company lifted non-GAAP operating margin guidance from 12.5% to 13.5% as well.
What Do Analysts Think of Snowflake Stock?
Out of the 45 analysts covering SNOW stock, 36 recommend a “Strong Buy” rating, three recommend a “Moderate Buy,” five recommend a “Hold,” and one analyst recommends a “Strong Sell.” The average price target of $281.84 represents potential upside of 15% from current levels.
All told, Snowflake is a company where AI is accelerating every part of the business, from migrations to new workload creation to internal productivity. The combination of an accelerating core platform, two fast-growing AI products, a transformative AWS partnership, and a smart acquisition makes Snowflake one of the more attractive data infrastructure names heading into the back half of 2026.
For investors who believe enterprise AI spending is still in its early stages, SNOW stock deserves a close look.
On the date of publication, Aditya Raghunath did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com
Four leading AI models discuss this article
"Snowflake's AI-driven growth is contingent on a multi-horse set of bets (AWS partnership, Natoma integration, CoCo adoption), any one underdelivering could erase the upside."
Snowflake's stock is rallying on an AI inflection driven by Snowflake Intelligence and CoCo, plus a five-year, $6B AWS deal and Natoma, which together could boost data- and AI-related workloads. The first-quarter beats reinforce momentum, but the sustainability hinges on customer adoption of new AI tools, a favorable AWS terms dynamic, and strong integration outcomes. The missing context includes the duration of the AWS revenue ramp, potential margin pressure from AI compute expansion, and how much of the 'AI revenue potential' is already priced in as Snowflake approaches $8-9B annualized revenue. Valuation remains rich versus non-GAAP profits if AI spend slows or competition intensifies.
Against my stance: The AI tailwind may prove short-lived as enterprise AI budgets retreat or shift toward open-source/infra-led vendors; Snowflake's AWS-centric growth makes it vulnerable to any AWS-optimized pricing or shift in channel incentives.
"Snowflake is shifting from a passive data repository to an active, governed AI orchestration layer, which justifies a premium valuation as it captures more of the enterprise software stack."
Snowflake’s 34% product revenue growth and the $6B AWS commitment suggest the platform is successfully transitioning from a data warehouse to an agentic AI control plane. The Natoma acquisition is the critical piece here; by integrating SaaS orchestration into a governed environment, Snowflake solves the 'shadow AI' security risk that keeps CIOs up at night. While the 40% rally is aggressive, the jump in customers spending over $10M indicates high-value stickiness. However, the reliance on AWS infrastructure creates a margin ceiling. If Snowflake cannot prove that AI agents drive higher consumption-based revenue than traditional data storage, the current valuation will face significant compression.
The $6 billion AWS commitment is a double-edged sword; it locks Snowflake into a heavy cloud-spend obligation that could crush free cash flow margins if enterprise AI adoption experiences a 'pilot purgatory' slowdown.
"Post-rally valuation already embeds aggressive AI monetization that the 31% guidance and early-stage product metrics do not yet confirm."
Snowflake's Q1 beat and 31% full-year product revenue raise to $5.84B look solid on the surface, with CoCo adoption at 7,100 accounts and NRR at 126%. Yet the $6B AWS commitment is primarily a multi-year spend on Graviton and GPUs rather than new revenue, while the 40% post-earnings jump to an $83.4B market cap leaves little margin if agentic AI workloads ramp slower than hoped. Natoma adds control features but remains unpriced and unproven at scale. Analysts' $282 average target implies only modest further upside after the surge.
The $6B AWS pact and CoCo traction could accelerate migrations faster than modeled if AWS co-selling kicks in immediately, validating the re-rating despite current 31% growth.
"SNOW's valuation rests entirely on CoCo scaling from 7,100 accounts to enterprise-grade revenue in 12-18 months—a bet with no disclosed revenue baseline to measure against."
SNOW's 40% pop rests on three pillars: CoCo adoption (7,100 accounts in 3 months), a $6B AWS deal, and 126% NRR. The NRR and $1M+ customer acceleration are genuinely impressive. But the article conflates correlation with causation—it attributes the guidance raise entirely to CoCo/Natoma, yet provides zero revenue contribution data from these products. CoCo launched Feb 2026; we don't know if it's $10M ARR or $100M ARR. The AWS deal is a partnership, not a revenue contract—Snowflake still depends on customer adoption. At $83.4B market cap with 31% product revenue growth guidance, SNOW trades at ~7.5x forward sales (assuming $5.84B guidance holds). That's reasonable for a compounder, but only if CoCo scales beyond early adoption.
The article never discloses CoCo's actual revenue contribution or unit economics, making it impossible to verify whether the inflection is real or marketing narrative. If CoCo adoption plateaus at 10-15K accounts with low ARPU, the 'step function change' evaporates.
"Snowflake's AWS-centric model and unpriced CoCo/Natoma upside risk could cap upside and squeeze margins even if near-term AI demand remains robust."
Claude correctly flags that CoCo/Natoma revenue contribution is unpriced, but the bigger risk is Snowflake's heavy AWS dependency. An AWS-centric growth engine could compress margins if co-sell incentives shift or customers migrate to multi-cloud, limiting AI-driven workload capture. If Natoma/CoCo don’t meaningfully lift ARR beyond early adopter levels, 7.5x forward sales looks vulnerable as AI demand proves slower or more capital-light.
"Snowflake's true value lies in data-layer stickiness, which acts as a hedge against commoditized AI compute pricing."
Claude is right to demand revenue transparency, but everyone is missing the 'data gravity' trap. Snowflake isn't just selling AI tools; they are building a moat around the data layer. If CoCo succeeds, it creates an ecosystem lock-in that makes the 7.5x forward sales multiple look like a discount. The real risk isn't AWS margin compression, but the potential for Databricks to undercut Snowflake's proprietary compute pricing as AI workloads become commoditized and price-sensitive.
"AWS lock-in creates multi-cloud migration risk that could erode NRR before data gravity or Databricks competition fully materializes."
Gemini flags Databricks pricing pressure but misses how the $6B AWS commitment could accelerate customer multi-cloud diversification. If enterprises shift workloads to Azure or GCP to reduce concentration risk, CoCo's 7,100 accounts may not translate into sustained NRR above 120 percent. That dynamic would compress the 7.5x forward sales multiple quicker than commoditized compute alone.
"The $6B AWS deal is a margin trap disguised as a growth catalyst if AWS uses infrastructure dependency to compress Snowflake's pricing power on AI compute."
Grok's multi-cloud diversification risk is real, but undercounts AWS's incentive alignment. Snowflake gets GPU/Graviton capacity at scale; AWS gets a $6B committed customer locked into their infrastructure. The risk isn't Snowflake fleeing AWS—it's AWS using this leverage to compress Snowflake's margins on compute-heavy AI workloads. Gemini's data gravity moat holds only if Snowflake can monetize it faster than AWS can extract economic rent.
The panel is divided on Snowflake's future, with concerns about heavy AWS dependency, potential margin compression, and unproven AI revenue, but also optimism about data gravity, ecosystem lock-in, and high-value customer stickiness.
Building a moat around the data layer and creating an ecosystem lock-in
Heavy AWS dependency and potential margin compression