SNOW Stock Forecast: Price Prediction 2025

Last Updated: July 2025

Data is for informational purposes only and does not constitute investment advice.

What Is Snowflake (NYSE: SNOW) and How Does It Make Money?

Snowflake Inc. (NYSE: SNOW) is a cloud data platform that enables organizations to store and analyze large volumes of data across multiple cloud providers simultaneously, with cross-cloud data sharing built in from the ground up. Founded in 2012 and headquartered in Bozeman, Montana, the company generates revenue through a consumption-based model, charging customers based on the computing power they use rather than per-user subscription fees. Snowflake operates as a pure-play cloud-native data platform, one of the largest of its kind among the best cloud computing stocks to buy by market capitalization.

Snowflake occupies a distinct position in the cloud data infrastructure market as a cloud data warehouse (a centralized repository that stores and analyzes large volumes of structured and semi-structured data, hosted entirely in the cloud rather than on physical on-premise servers). Unlike legacy database systems that were migrated to cloud as an afterthought, Snowflake was architected for cloud from its first line of code. Snowflake's management estimates the cloud data management and analytics total addressable market (TAM) at over $200 billion, a figure that underpins the long-term bull case for the stock. Independent research firms including IDC and Gartner have published market sizing estimates in a broadly similar range, though company-cited TAM figures should be treated as directional rather than precise.

The Consumption-Based Revenue Model

Unlike subscription SaaS companies that charge per user per month, Snowflake generates revenue based on how much data customers process. This is a consumption-based pricing model, and understanding how it works is essential to interpreting every financial metric discussed in this analysis.

Snowflake bills customers in Snowflake credits (the unit of compute consumption that Snowflake uses to measure and charge for data processing). When a customer runs a query, loads data, or executes an analytical workload, credits are consumed. More workloads mean more credits used, which translates directly into more Product Revenue for Snowflake. The model works like a pay-as-you-go electricity bill rather than a fixed monthly plan: the bill rises when usage rises, and falls when enterprises scale back workloads.

This structure creates a key forecasting dynamic. Because revenue is variable rather than contractually fixed at a subscriber count, traditional SaaS metrics like seat growth are not meaningful for Snowflake. Instead, Net Revenue Retention (NRR) and Remaining Performance Obligations (RPO) are the metrics that matter most. Both are defined and analyzed in the financial performance section below.

The consumption model also creates a specific vulnerability: when enterprises run cost-reduction programs and scale back data workloads, Snowflake's revenue can contract even without losing a single customer. This headwind materialized in 2022 and 2023 as corporate IT budgets tightened, and the trajectory of enterprise cloud spending continues to shape the growth forecast.

Leadership and Strategy: The CEO Transition

Snowflake's current CEO is Sridhar Ramaswamy, who took the role in February 2024, replacing founder-era CEO Frank Slootman after a tenure that spanned the company's landmark September 2020 IPO (the largest software IPO in history at the time, raising approximately $3.36 billion) and a period of hypergrowth. Slootman's departure was unexpected by the market and contributed to significant stock price volatility at the time of the announcement.

Ramaswamy brings a specific background to the role: he previously led Google's advertising business and co-founded Neeva, an AI-powered search startup, before joining Snowflake. His stated strategic direction centers on an AI-first pivot, positioning Snowflake not simply as a data warehouse but as an "AI data cloud" where enterprises can build and deploy AI and machine learning applications directly on top of their Snowflake data. Whether that repositioning translates to accelerated revenue remains the central open question in analyst models. Analysts who are bullish on SNOW frequently cite Ramaswamy's AI product roadmap as the primary catalyst for re-accelerating growth; the key product executing on that vision is Snowflake Cortex AI, covered in detail in the AI strategy section.

SNOW Stock Performance: Recent Price Action and Historical Context

SNOW shares have traded in a wide range over the past year, reflecting shifting sentiment around the company's growth deceleration and AI strategy execution. The historical price arc captures a full cycle from hypergrowth to a more mature, if still premium-priced, growth profile.

Source: NYSE, Yahoo Finance. Update current figures at each content refresh.

From its November 2021 peak, SNOW declined significantly as revenue growth decelerated from triple-digit rates and the broader technology sector experienced multiple compression in 2022. Over the trailing 12 months, the stock has broadly underperformed the S&P 500, though it has shown periods of recovery tied to earnings beats and AI-related sentiment shifts.

The most recent quarterly earnings report (Q[X] FY2026, per Snowflake earnings releases) showed Product Revenue of $[update]M, representing [X]% year-over-year growth. The stock [rose/fell X%] in the session following that report. For the complete picture of recent results, rating changes, and post-earnings price movements, see Snowflake earnings reports and analysis. Historically, SNOW shares respond sharply to earnings surprises in either direction, given the stock's elevated valuation multiple and the market's sensitivity to any revision in the growth outlook.

Berkshire Hathaway and Salesforce were notable anchor investors in the September 2020 IPO. The arc from that debut price to the current trading range illustrates what happens when hypergrowth normalizes at a still-elevated multiple.

What Is the Price Target for Snowflake Stock? Analyst Consensus

As of July 2025, the Wall Street consensus 12-month price target for Snowflake stock (NYSE: SNOW) is approximately $[update], based on coverage from [X] analysts, implying meaningful upside from the current trading price. The consensus rating is Moderate Buy, reflecting a majority of analysts who remain constructive on the stock while acknowledging the execution risks associated with the AI revenue ramp and valuation premium. Analyst price targets are forward-looking 12-month estimates and are subject to revision following each quarterly earnings release.

For readers new to analyst ratings, designations like "Outperform" or "Overweight" used by some firms are functionally equivalent to "Buy" at others. For a detailed explanation of how to interpret these designations, see how to read analyst price targets.

Wall Street Consensus Summary

The consensus rating on SNOW as of July 2025 is Moderate Buy, with the majority of covering analysts issuing a Buy or equivalent rating, a substantial minority rating it a Hold, and a small number at Sell or equivalent. The table below summarizes the current Wall Street consensus.

Source: Aggregated analyst ratings compiled by financial data providers, July 2025. Analyst price targets are forward-looking estimates and not guarantees of future performance.

Individual Analyst Ratings

Individual analyst price targets for SNOW span a wide range, reflecting diverging views on the pace of AI-driven credit consumption growth and the timeline for NRR recovery. The table below lists recent ratings from named firms, each subject to revision following material company events.

Source: Individual firm research notes as of dates shown. Ratings and targets are updated following earnings releases and material company events.

The spread between the high and low 12-month price targets reflects genuine analytical disagreement. Bulls are modeling a scenario where Cortex AI workloads begin contributing meaningfully to Product Revenue growth in FY2026, while bears are applying a lower valuation multiple to a slower-growth revenue base. Both scenarios are examined in the 2025 forecast section.

Snowflake Financial Performance: Revenue, Growth, and Profitability

Snowflake reported Product Revenue of approximately $3.6 billion in FY2025 (fiscal year ending January 2025), representing approximately 29% growth year-over-year. This marks a significant deceleration from the 100%+ growth rates the company delivered in FY2022, reflecting both the natural maturation of a large revenue base and the impact of enterprise customers managing data workload costs. The financial metrics table below consolidates the key figures investors use to evaluate SNOW's trajectory.

Source: Snowflake Inc. earnings releases and 10-K filing, investors.snowflake.com. Update current-quarter figures following each earnings release. NTM P/S calculated using current market cap and next-twelve-months consensus revenue estimate.

Product Revenue and Growth Rate

Snowflake's Product Revenue (the consumption-based platform usage metric that analysts track for growth modeling, distinct from the smaller and lower-margin Professional Services segment) is the line item used for all P/S ratio calculations and growth projections. When various sources cite "Snowflake's revenue," they are typically referring to Product Revenue, not the company's smaller Professional Services component.

Product Revenue growth decelerated steadily over the past four fiscal years: approximately 106% in FY2022, 69% in FY2023, 38% in FY2024, and 29% in FY2025, per Snowflake earnings releases. This trajectory is the central tension in the stock. The question analysts are pricing is whether AI-driven workloads can re-accelerate that curve, or whether the structural deceleration continues.

Net Revenue Retention (NRR): The Key Health Metric

Snowflake's Net Revenue Retention rate, or NRR (also referred to as Net Dollar Retention, or NDR, in some financial contexts), measures the percentage of revenue the company retains and expands from its existing customer base over a 12-month period, excluding new customer additions. An NRR above 100% means existing customers are spending more than they did a year ago. Snowflake's NRR stood at 126% as of Q4 FY2025, down from a peak of 174% in early 2022.

For a consumption-based business, NRR is the primary health indicator of organic demand. The 126% figure is still positive: existing customers are collectively spending 26% more than they were a year ago. The direction of travel matters more than the level, though. The decline from 174% reflects the spending discipline enterprises adopted as IT budgets tightened and as the initial wave of data migration workloads completed. For a deeper exploration of this metric and why it matters specifically for consumption-based businesses, see what is net revenue retention (NRR) and how to use it in stock analysis.

Whether NRR has bottomed and is beginning to recover is the single most important variable in the 2025 revenue forecast. Bulls argue that AI workloads through Snowflake Cortex AI will drive credit consumption higher, pushing NRR back toward 130-140% over the next two years. Bears contend that enterprise spending discipline persists and that competition from Databricks and Microsoft is capping the expansion.

Remaining Performance Obligations (RPO): Forward Revenue Signal

Remaining Performance Obligations (RPO) represent the total value of contracted future revenue Snowflake has committed but not yet recognized. Think of it as a contractual backlog: customers have agreed in their contracts to spend a certain amount, and RPO counts the total of those commitments that Snowflake has yet to deliver and bill. As of Q4 FY2025, Snowflake's total RPO stood at approximately $6.0 billion, with current RPO (obligations due within the next 12 months) of approximately $3.4 billion.

RPO is particularly informative for a consumption-based business. Because credit consumption is variable, reported quarterly revenue can fluctuate based on workload patterns. RPO provides a contractual revenue floor that reported revenue alone does not. Accelerating RPO growth indicates customers are signing larger, longer-term contracts, which is a forward-looking bullish signal. Decelerating RPO growth is the opposite signal.

Analysts who track RPO as a leading indicator watch the YoY growth rate quarter-by-quarter for signals of re-acceleration ahead of reported revenue. The current RPO figure of approximately $3.4 billion implies a reasonably solid foundation for FY2026 product revenue if growth holds at recent rates.

Profitability and Free Cash Flow (FCF)

Snowflake is not yet profitable on a GAAP basis, reporting a net loss of approximately $900 million in FY2025 due primarily to stock-based compensation (SBC), which is standard accounting treatment for high-growth technology companies. The GAAP loss figure is not a sign of operational distress; it reflects the accounting cost of compensating employees with equity.

On a non-GAAP basis (which excludes SBC and other adjustments), Snowflake generated approximately $760 million in operating income in FY2025. More meaningfully for long-term investors, free cash flow (FCF) (the cash Snowflake generates after accounting for capital expenditures, used as a profitability proxy for pre-GAAP-profitable companies) reached approximately $790 million in FY2025, representing an FCF margin of approximately 22%.

The NTM price-to-sales ratio (the NTM P/S ratio divides Snowflake's current market capitalization by its estimated revenue for the next twelve months, the standard valuation metric for high-growth pre-profitability technology companies) currently stands at approximately [X]x, well above the software peer median of approximately 8-10x for companies in the same revenue growth cohort. Bulls argue this premium is justified by the AI growth catalyst and large TAM; bears argue it prices in execution that has not yet materialized. This tension is addressed directly in the risk factors and investment thesis sections below.

Snowflake's AI Strategy: What Snowflake Cortex AI Means for the Stock

Snowflake Cortex AI (the company's suite of AI and machine learning capabilities built natively into the Snowflake platform) is the primary bull-case catalyst analysts cite when arguing SNOW's current valuation premium is justified. Understanding how Cortex AI monetizes within the consumption model is essential to evaluating whether that premium is reasonable.

Cortex AI enables enterprises to build, fine-tune, and deploy AI models directly on their Snowflake data without moving data to external systems. The suite includes LLM-powered search, document AI, model fine-tuning, and AI-assisted data transformation capabilities. Each of these workloads consumes Snowflake credits when executed, feeding directly into Product Revenue. The revenue mechanism is additive: customers who adopt Cortex AI features layer new credit consumption on top of their existing data warehouse workloads. An enterprise spending $500,000 per year on Snowflake could increase that to $700,000 or more once it begins running Cortex AI inference and fine-tuning jobs at scale.

In management's framing, Snowflake aims to become the "AI data cloud" rather than competing purely as a data warehouse, positioning the platform as where enterprise AI applications are built and run. Whether this positioning translates to durable revenue differentiation is the question analysts disagree on. The bull thesis holds that this expands Snowflake's TAM into adjacent AI infrastructure markets and defends against AI-native competitors; the bear thesis holds that hyperscalers can replicate these capabilities at lower cost within their own ecosystems.

Several analysts who follow SNOW have incorporated Cortex AI revenue contribution into their FY2026 and FY2027 models. The consensus among bullish analysts is that AI workloads could contribute 3 to 5 percentage points of incremental NRR improvement as customer adoption of Cortex features scales. These figures represent analyst estimates based on management commentary and usage signals, not separately disclosed revenue data from Snowflake.

The execution risk is material. Enterprise AI adoption timelines are notoriously difficult to forecast, and the ramp from pilot programs to production-scale workloads can take 12 to 24 months longer than initial estimates suggest. Investors evaluating the AI thesis for SNOW should treat the FY2026-FY2027 AI revenue contribution estimates as subject to meaningful uncertainty. For broader context on how AI strategy is affecting technology sector valuations, see best AI stocks to buy in 2025.

Who Are Snowflake's Competitors? Competitive Landscape Analysis

Snowflake's primary competitors in the cloud data platform market are Databricks (data lakehouse), Amazon Redshift (AWS), Google BigQuery (Google Cloud), and Microsoft Fabric (Microsoft Azure, formerly Azure Synapse). The table below summarizes the competitive landscape across dimensions that matter for the SNOW stock forecast.

Databricks is Snowflake's most significant competitive threat. Databricks is a privately held company (it does not trade on any public exchange as of mid-2025, though an IPO has been widely discussed in market commentary) that competes directly in the data lakehouse space. Its unified analytics platform, built on Apache Spark and the Delta Lake open-source table format, overlaps heavily with Snowflake's core analytical workloads. Databricks has attracted a roster of large enterprise customers, particularly in industries with significant machine learning requirements. Snowflake has responded by adding support for the Apache Iceberg open table format, positioning its platform as interoperable with lakehouse architectures rather than competing against them. Whether this strategic response is sufficient to retain customers evaluating Databricks remains an open question. Readers asking how Snowflake compares to Databricks on a stock basis should note that no direct stock comparison is possible since Databricks has no public ticker; the relevant comparison is competitive market share and revenue trajectory.

Amazon Redshift is AWS's cloud-native data warehouse product and represents the incumbent competition. Snowflake's differentiation against Redshift centers on its multi-cloud capability: Snowflake runs simultaneously on AWS, Microsoft Azure, and Google Cloud, enabling cross-cloud data sharing that Redshift cannot match. Enterprises with multi-cloud strategies or cross-cloud data collaboration needs generally favor Snowflake's architecture on this dimension.

Google BigQuery is Google Cloud's serverless, fully managed data warehouse and competes on price and integration with Vertex AI. Snowflake's advantage against BigQuery is multi-cloud portability (BigQuery is Google Cloud-only) and a more mature enterprise support ecosystem.

Microsoft Fabric (formerly Azure Synapse Analytics, relaunched as a unified analytics platform in 2023) represents a structural threat to Snowflake's enterprise sales process. Microsoft's ability to bundle Fabric with Microsoft 365, Azure, and Power BI subscriptions gives it a distribution advantage that Snowflake must compete against on pure product merit. Several analysts cite Fabric adoption in large enterprises as a headwind to Snowflake's net new business in certain verticals.

Snowflake Stock Price Prediction 2025: Bull, Base, and Bear Cases

Based on analyst consensus projections and scenario modeling, Snowflake stock (NYSE: SNOW) could trade in a range of approximately $120 to $240 by end of calendar 2025, depending primarily on the pace of NRR recovery and the rate at which Cortex AI workloads begin contributing to Product Revenue growth. These are illustrative scenarios based on analytical assumptions, not predictions. Actual results may differ materially.

The scenario table below presents three analytically grounded cases. Each states its key assumptions explicitly, derives an implied Product Revenue range, applies a valuation multiple consistent with the growth profile, and produces a resulting price range.

These are illustrative scenarios based on growth and valuation assumptions derived from analyst consensus ranges, not predictions. Actual stock prices will depend on reported financial results, market conditions, and investor sentiment. Analyst price targets are subject to revision.

Two conditions need to be met simultaneously for the bull case to materialize: NRR improvement driven by Cortex AI credit consumption, and sustained enterprise data workload growth. If Cortex AI features see rapid adoption in FY2026, incremental credit usage could push NRR back above 130%, justifying a premium valuation multiple in the 18-20x range. Several analysts at major firms, including those at Morgan Stanley and Goldman Sachs who carry Overweight or Buy ratings, are modeling scenarios broadly consistent with this outcome.

The base case assumes Cortex AI contributes modestly to growth in FY2026 while the core data warehouse business stabilizes. NRR holds near current levels, and Snowflake sustains mid-20s percentage Product Revenue growth. At a 14-16x NTM P/S multiple (closer to the peer median for cloud software companies growing at this rate), the implied price range sits in the mid-$100s to low-$180s.

If AI workload adoption proves slower than analyst models assume and NRR continues declining, the combination of slowing growth and a still-elevated valuation multiple produces multiple compression in the bear case. Competition from Databricks or Microsoft Fabric gaining share in Snowflake's core enterprise accounts is the primary driver of this scenario. At 10-12x NTM revenue on a slower-growth revenue base, the implied price range is $95-$125.

Snowflake Stock Long-Term Forecast: 2026 and Beyond

Long-horizon stock price forecasts carry substantial uncertainty, and the following 2026-2030 projections should be read as illustrative scenario frameworks based on revenue growth and valuation multiple assumptions. Analyst coverage typically extends to 12-month price targets; multi-year projections are analytical frameworks, not consensus estimates.

For 2026, analysts projecting Snowflake's next fiscal year (FY2027, ending January 2027) generally model Product Revenue in the range of $5.2-$6.0 billion, assuming continued mid-to-high 20s percentage growth as AI workloads ramp. If those revenue targets are achieved and the company maintains an NTM P/S multiple in the 12-16x range (consistent with a maturing high-growth software company), the implied stock price for SNOW in the $150-$220 range is a plausible analytical estimate. These numbers are subject to revision based on actual performance.

For 2027-2030, the range of outcomes widens considerably. In a scenario where Snowflake captures a meaningful share of its estimated $200B+ TAM (per Snowflake management's investor presentations) and sustains 20-25% compound annual revenue growth through 2030, annual Product Revenue could approach $8-10 billion. Applied against a lower valuation multiple in the 10-14x range (appropriate for a more mature growth company), that revenue base could support a stock price in the $180-$280 range by 2030. That is the core of the long-term bull thesis.

The bear scenario for 2030 posits continued NRR deceleration, material competitive displacement from Databricks or the hyperscalers, and multiple compression as growth slows toward 10-15%. Under those conditions, even with continued revenue growth, SNOW could trade in the $80-$120 range as investors reprice the stock to reflect a lower-growth profile.

For a comparative perspective on how other long-horizon technology stock scenarios are built, see Tesla stock price prediction for 2040: a beginner's guide to scenarios, not certainties. These scenarios are illustrative frameworks and should not be treated as predictions. Stock price forecasts are inherently uncertain and should not be relied upon as guarantees of future performance.

Snowflake Stock Risks: What Could Weigh on SNOW?

The primary risk to the Snowflake stock forecast is a combination of decelerating NRR, a premium valuation multiple that leaves little margin for growth disappointment, and competitive pressure from Databricks and Microsoft Fabric on core enterprise workloads. The following risks are each grounded in observable data or structural dynamics.

• Revenue growth deceleration and NRR compression. Snowflake's NRR has declined from a peak of 174% in early 2022 to 126% as of Q4 FY2025, a 48-percentage-point compression over three years. If this trend continues rather than stabilizing, the growth re-acceleration thesis that supports the current valuation becomes increasingly difficult to sustain. The consumption model means there is no contractual floor on revenue; customers can reduce workloads at any time without breaching a contract.

• Premium valuation and NTM P/S multiple compression risk. At approximately x forward revenue, SNOW trades at a significant premium to the software peer median. Whether that premium is justified depends entirely on growth assumptions. If Product Revenue growth decelerates to the mid-teens percentage range and NRR continues declining, the market would likely reprice SNOW toward 10-12x NTM revenue, producing a stock price decline even if absolute revenue is still growing.

• Competitive threats from Databricks, Microsoft Fabric, and hyperscaler native tools. Databricks' data lakehouse architecture overlaps with Snowflake's core workloads and has attracted significant enterprise momentum. Microsoft Fabric's bundling with existing Microsoft enterprise agreements gives it a structural distribution advantage in sales cycles. Amazon Redshift, while technically inferior in multi-cloud scenarios, benefits from deep AWS embedding in enterprise infrastructure.

• Execution risk on Cortex AI revenue ramp. Snowflake Cortex AI is the central bull-case catalyst, but AI workload adoption timelines are notoriously difficult to forecast. Enterprise AI projects frequently move from pilot to production more slowly than initial projections suggest. If Cortex AI revenue contribution in FY2026 falls below analyst model assumptions, the growth re-acceleration thesis could face material revision.

• CEO transition integration risk. Sridhar Ramaswamy's AI-first strategic pivot is still in early execution. Strategic redirections of this magnitude (from a data warehouse positioning to an AI data cloud positioning) carry implementation risk. The organization must shift product development priorities, sales compensation, and customer education simultaneously. Early indicators from management commentary are positive, but the full impact on bookings and revenue will take several quarters to become clear.

• Enterprise IT budget sensitivity and consumption model vulnerability. Unlike subscription SaaS companies whose revenue is contractually locked in, Snowflake's consumption revenue can contract if enterprises reduce data workload intensity during economic downturns or IT budget cycles. The 2022-2023 workload optimization headwind demonstrated this vulnerability concretely.

• Customer concentration risk. Snowflake derives a significant portion of its revenue from a relatively small number of large enterprise customers. A contract loss, spending reduction, or competitive displacement at one or two major accounts can have an outsized impact on quarterly revenue and NRR figures, which in turn affects the stock's valuation narrative.

Is Snowflake Stock a Good Buy in 2025?

As of July 2025, the Wall Street consensus on SNOW is Moderate Buy, with the majority of covering analysts issuing a Buy or equivalent rating and an average 12-month price target that implies meaningful upside from the current price. Bulls cite Cortex AI adoption as a growth re-accelerator and point to RPO growth as evidence of customer commitment. Bears argue the valuation premium is difficult to justify given decelerating NRR and intensifying competition. Neither case is unreasonable given current data.

The bull case for SNOW rests on four arguments:

• Snowflake Cortex AI workloads are beginning to drive incremental credit consumption, and as enterprise AI projects move from pilot to production in FY2026, AI revenue could add meaningfully to growth.
• RPO growth of approximately 30%+ year-over-year as of Q4 FY2025 signals that customers are committing to larger, longer-term contracts, providing forward visibility for revenue acceleration.
• The cloud data management TAM of $200B+ (per Snowflake management estimates) remains mostly unpenetrated, and Snowflake's multi-cloud architecture positions it well for enterprise deals spanning AWS, Azure, and Google Cloud.
• Improving FCF margins (approximately 22% in FY2025) demonstrate the company is generating real cash while investing in growth, reducing the risk of dilutive capital raises.

The bear case for SNOW rests on five arguments:

• NRR has declined from 174% to 126% over three years, and there is no confirmed inflection point yet. A continued decline toward 115% would materially undermine the re-acceleration narrative.
• The NTM P/S multiple is significantly above the software peer median, requiring sustained 25%+ revenue growth to justify. Any growth miss carries a double penalty: lower revenue and lower multiple simultaneously.
• Databricks and Microsoft Fabric are applying competitive pressure on Snowflake's core enterprise workloads, and Microsoft's bundling advantage is difficult to overcome in sales cycles where Fabric is offered at no marginal cost.
• The AI revenue ramp carries execution risk under a relatively new CEO who is simultaneously repositioning the product and rebuilding the growth narrative.
• The consumption model's sensitivity to IT budget cycles means a macroeconomic slowdown could suppress credit usage across Snowflake's customer base with little advance warning.

Whether SNOW is appropriate for your portfolio depends on your investment thesis, time horizon, and risk tolerance. Investors with conviction in enterprise AI adoption accelerating Snowflake's credit consumption have a substantive bull case. Those focused on current NRR trends and valuation multiples have an equally substantive bear case. A growth stock investing guide can help frame how high-multiple technology stocks fit within a broader portfolio context.

Disclaimer: This article is for informational purposes only and should not be construed as financial advice. Past performance is not indicative of future results. Always conduct your own research or consult a licensed financial advisor before making investment decisions.

Key Terms: Understanding Snowflake's Financial Metrics

The following terms appear throughout this analysis and are defined here for readers who want a quick reference.

Frequently Asked Questions About Snowflake Stock (NYSE: SNOW)

The questions below address the most common investor queries about Snowflake stock, with answers based on the most recent available data as of July 2025.

What is the price target for Snowflake stock?

As of July 2025, the Wall Street consensus 12-month price target for Snowflake stock (NYSE: SNOW) is approximately $[update], based on coverage from [X] analysts tracked by financial data providers. The high analyst target is approximately $[update] and the low is approximately $[update]. These are forward-looking estimates subject to revision and do not represent guarantees of future performance.

Is SNOW stock a good investment?

The analyst consensus on SNOW is Moderate Buy as of mid-2025. Bulls argue that Snowflake Cortex AI workloads will re-accelerate Product Revenue growth in FY2026-FY2027, with NRR recovering toward 130%+. Bears contend the current NTM P/S premium is difficult to sustain given decelerating NRR and competitive pressure from Databricks and Microsoft Fabric. Whether SNOW fits your portfolio depends on your growth conviction, time horizon, and risk tolerance.

What do analysts say about Snowflake stock?

As of July 2025, the majority of analysts covering SNOW rate it a Buy or Moderate Buy equivalent, with a smaller portion at Hold and a minority at Sell. The consensus 12-month price target implies upside from current levels. Analysts who are most bullish emphasize the Cortex AI revenue catalyst; those who are cautious cite the elevated NTM P/S multiple and persistent NRR deceleration as the primary concerns.

What is Snowflake's stock forecast for 2025?

Based on scenario modeling using analyst consensus revenue estimates and current valuation ranges, SNOW could trade between approximately $120 and $240 by end of calendar 2025. The base case, which assumes NRR stabilizes near current levels and Cortex AI contributes modestly to growth, implies a range of approximately $145-$185. These are illustrative scenarios based on explicit growth and valuation assumptions, not predictions. Actual results may differ materially.

Why is Snowflake stock down?

SNOW has faced selling pressure from several structural factors: NRR declining from its 174% peak to 126%, reflecting enterprise customers managing data workload costs more carefully; an elevated valuation multiple that makes the stock sensitive to any growth disappointment; the unexpected CEO transition in February 2024, which created strategic uncertainty; and broader technology sector multiple compression in 2022-2023. Competitive pressure from Databricks and Microsoft Fabric has also weighed on sentiment.

What is Snowflake's revenue?

Snowflake reported Product Revenue of approximately $3.6 billion in FY2025 (fiscal year ending January 2025), representing approximately 29% year-over-year growth. This figure refers specifically to Product Revenue from consumption-based platform usage, not total revenue. Analysts and investors focus exclusively on Product Revenue for growth modeling and valuation. See the financial metrics table earlier in this article for the most recent quarterly figures.

Who are Snowflake's competitors?

Snowflake's primary competitors are Databricks (a privately held data lakehouse platform competing on unified analytics and ML workloads), Amazon Redshift (AWS's cloud-native data warehouse, limited to the AWS ecosystem), Google BigQuery (Google Cloud's serverless data warehouse, Google Cloud-only deployment), and Microsoft Fabric (formerly Azure Synapse, with strong bundling through Microsoft 365 and Azure enterprise agreements).

What is Snowflake's net revenue retention?

Snowflake's NRR stood at 126% as of Q4 FY2025, per Snowflake's earnings release. Net Revenue Retention measures the percentage of revenue Snowflake retains and expands from existing customers over 12 months, excluding new customer additions. An NRR above 100% means existing customers spent more than a year ago. The decline from a 174% peak in 2022 to 126% today is the central analytical tension in the SNOW bull/bear debate.

Is Snowflake profitable?

Snowflake is not yet profitable on a GAAP basis, reporting a net loss of approximately $900 million in FY2025, driven primarily by stock-based compensation rather than operational losses. On a non-GAAP basis, Snowflake generated approximately $760 million in operating income in FY2025. The company also produced approximately $790 million in free cash flow, representing a 22% FCF margin, which demonstrates real cash generation capacity independent of the GAAP accounting treatment.

What happened to Snowflake stock today?

For the most current SNOW price movement and intraday catalyst, refer to the data snapshot at the top of this article, updated periodically. Most recently, SNOW [rose/fell] following its Q[X] FY2026 earnings report. For the complete picture of recent results and post-earnings price reaction, see Snowflake earnings reports and analysis. Verify all current price data against a real-time source such as NYSE or Yahoo Finance before making any investment decision.

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