Snowflake Inc.
- Open
- 272.46
- Day high
- 275.29
- Day low
- 262.81
- Prev close
- 271.87
- Volume
- 3.3M
- Mkt cap
- $93.3B
- P/E (TTM)
- —
- EPS (TTM)
- —
- P/B
- 48.1
- P/S
- 18.5
- Yield
- —
- Per share
- —
- ▼Insiders net selling -$468.7M over the last 3 months (0 open-market buys, 119 sales)
- 🏛Institutions mixed (13F)
Snowflake Inc. (SNOW) is a Technology company listed on NYSE. The stock is up 28% over the past year. Over the trailing 3 months, insiders filed 0 open-market buys and 119 sales (SEC Form 4). Drillr has 2 published research articles covering SNOW.
Snowflake Inc. (SNOW) financials & analyst ratings
Fundamentals (TTM)
Analyst consensus · 30 analysts
Source: exchange market data + company filings. Figures are trailing-twelve-month or as most recently reported. For informational purposes only — not investment advice.
SNOW earnings date, history & EPS estimates
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| May 27, 2026 | $0.32 | $0.39 | +22.1% | $1.4B | +5.1% |
| Feb 25, 2026 | $0.27 | $-0.90 | -434.9% | $1.3B | +2.3% |
| Dec 3, 2025 | $0.31 | $0.35 | +12.3% | $1.2B | +2.4% |
| Aug 27, 2025 | $0.27 | $0.35 | +31.1% | $1.1B | +5.2% |
| May 21, 2025 | $0.21 | $0.24 | +13.0% | $1.0B | +3.6% |
| Feb 26, 2025 | $0.18 | $0.30 | +70.0% | $987M | +3.0% |
| Nov 20, 2024 | $0.15 | $0.20 | +33.3% | $942M | +4.8% |
| Aug 21, 2024 | $0.16 | $0.18 | +11.8% | $869M | +1.8% |
| May 22, 2024 | $0.18 | $0.14 | -21.6% | $829M | +5.2% |
| Feb 28, 2024 | $0.18 | $0.35 | +92.1% | $775M | +1.9% |
| Nov 29, 2023 | $0.15 | $0.25 | +66.7% | $734M | +3.0% |
| Aug 23, 2023 | $0.09 | $0.22 | +144.4% | $674M | +1.8% |
SNOW insider trading activity (SEC Form 4)
| Date | Insider | Type | Shares | Price |
|---|---|---|---|---|
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 1,285 | $262.74 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 223 | $255.16 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 818 | $263.91 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 216 | $259.76 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 114 | $260.36 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 25 | $263.91 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 14 | $259.76 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 40 | $262.74 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 1,169 | $257.45 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 465 | $255.16 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 7 | $260.36 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 83 | $262.74 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 2,143 | $263.91 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 18 | $253.86 |
| Jul 8, 2026 | Speiser Michael Ldirector | Sell | 28 | $254.52 |
Source: SNOW SEC Form 4 filings, latest Jul 8, 2026. For informational purposes only — not investment advice.
See the full SNOW insider & 13F page →SNOW research & analysis
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Snowflake Inc. company profile
Overview
Snowflake Inc. (NYSE:SNOW) is a cloud-based data platform company founded in 2012 and headquartered in Bozeman, Montana. The company went public in September 2020 in one of the largest software IPOs in history. Originally known as Snowflake Computing Inc., the company rebranded to Snowflake Inc. in 2019. Snowflake has emerged as a leading player in the cloud data warehouse market, providing organizations with a unified platform to store, process, and analyze vast amounts of data across multiple cloud environments.
Business
Snowflake operates in the cloud data platform industry, providing what it calls the Data Cloud - a comprehensive solution that enables organizations to consolidate, store, process, and analyze data from multiple sources in a single, unified environment. The company's core offering addresses a fundamental challenge in modern business: data silos, where information is trapped in separate systems and difficult to access or analyze collectively. The Data Cloud platform serves as a centralized data repository that can handle both structured data (like traditional database records) and unstructured data (such as documents, images, and videos). Unlike traditional data warehouses that require significant upfront infrastructure investment and complex maintenance, Snowflake's cloud-native architecture automatically scales computing and storage resources based on demand, allowing customers to pay only for what they use. Key platform capabilities include data warehousing for analytics, data engineering for processing and transforming raw data, and increasingly, artificial intelligence and machine learning workloads. The platform supports data sharing, enabling organizations to securely share datasets with partners, customers, or other business units without moving or copying the underlying data. Snowflake's business consists primarily of a single segment focused on its Data Cloud platform, with product revenue representing approximately 95% of total revenue. The remaining 5% comes from professional services. Within the platform, emerging products like Snowpark (for data engineering and application development) and Cortex AI (for artificial intelligence workloads) are gaining traction, with Snowpark contributing approximately 3% of product revenue as of fiscal 2025.
Revenue model
Snowflake operates on a consumption-based revenue model, where customers pay based on their actual usage of computing resources and data storage rather than fixed licensing fees. This model includes two primary components: compute costs (charged per second of processing time) and storage costs (charged monthly based on data volume stored). The company's paying customers are primarily enterprise organizations across various industries, including financial services, technology, retail, healthcare, and government agencies. Snowflake has over 9,000 customers, with significant revenue concentration among large enterprises - 83 customers generate more than $5 million in annual product revenue each. Revenue growth is driven by both new customer acquisition and expansion within existing accounts, with a net revenue retention rate of 126%, indicating that existing customers are increasing their usage over time. The company benefits from several factors that can increase margins: economies of scale as usage grows, operational efficiency improvements, and the introduction of higher-value AI and analytics services. However, margins face pressure from several factors. Cloud infrastructure costs represent a significant expense, as Snowflake must purchase computing and storage capacity from cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The company's gross margins are also affected by the mix between compute and storage usage, with compute generally carrying higher margins. Additionally, Snowflake has been investing heavily in GPU infrastructure to support AI workloads, with approximately $50 million in GPU-related costs impacting fiscal 2025 margins. Competitive pressure in the cloud data market and customer optimization efforts during economic uncertainty can also compress consumption growth and pricing power.
Competitive moat
Snowflake's competitive moat centers on network effects and switching costs, though the strength of this moat faces increasing challenges. The company's primary defensive advantage comes from its Data Cloud ecosystem, where customers become more entrenched as they store larger volumes of data, build more applications, and establish data sharing relationships with partners. Once organizations have migrated significant data workloads to Snowflake and built analytical processes around the platform, the cost and complexity of switching to alternatives creates meaningful switching costs. The company's multi-cloud architecture provides some differentiation, as it operates seamlessly across Amazon Web Services, Microsoft Azure, and Google Cloud Platform, allowing customers to avoid vendor lock-in with any single cloud provider. Snowflake's consumption-based pricing model also offers flexibility that traditional enterprise software licensing cannot match. However, this moat faces significant competitive pressure. Hyperscale cloud providers like Amazon (Redshift), Microsoft (Synapse), and Google (BigQuery) offer competing data warehouse services with deep integration into their broader cloud ecosystems and often more aggressive pricing. These competitors have substantial resources and can bundle data services with other cloud offerings. Additionally, the rise of open-source alternatives like Apache Iceberg (which Snowflake now supports) and emerging technologies like data lakehouses present architectural alternatives that could reduce Snowflake's differentiation. The company's moat strength is moderate but under pressure. While customer switching costs and network effects provide some protection, the competitive landscape is intensifying, and Snowflake must continue innovating in areas like AI and data engineering to maintain its competitive position.
Risks & safety
Snowflake maintains a moderate margin of safety with some areas of concern regarding profitability and valuation. • Financial Position: Strong balance sheet with $2.6 billion in cash and short-term investments against $6.0 billion in total liabilities. Current ratio of 1.78 indicates adequate liquidity. Debt-to-equity ratio of 0.87 is manageable but has increased from previous periods. • Cash Generation: Positive free cash flow of $913 million for fiscal 2025, though the company remains unprofitable on a GAAP basis with net losses of $1.3 billion. Operating cash flow of $960 million demonstrates the business generates cash despite accounting losses. • Valuation Concerns: Trading at 20x book value and negative EBITDA multiples indicate expensive valuation metrics. Price-to-book ratio has increased significantly from previous periods, suggesting valuation expansion beyond fundamental improvements. • Growth Deceleration: Product revenue growth has slowed from 67% in fiscal 2023 to 30% in fiscal 2025, while the company continues to invest heavily in sales, marketing, and R&D, pressuring near-term profitability. • Stock-Based Compensation: High stock-based compensation at 37% of revenue creates significant dilution for shareholders, though management expects this to decrease over time.
Recent development
Over the past several years, Snowflake has undergone significant strategic evolution, transitioning from a pure-play data warehouse company to a comprehensive data platform with strong artificial intelligence capabilities. The most notable leadership change occurred in 2024 when Frank Slootman retired as CEO and was replaced by Sridhar Ramaswamy, formerly head of Google's advertising products, signaling the company's commitment to AI innovation. The company's major strategic pivot has been the aggressive expansion into artificial intelligence and machine learning. Snowflake launched Cortex AI, a comprehensive AI service that now serves over 4,000 customers weekly, offering capabilities including text analytics, sentiment analysis, and document processing. The company developed Arctic, its own custom language model, and introduced Cortex Agents for agent orchestration, positioning itself as an AI-native data platform. Product diversification has been another key development. Snowflake expanded beyond traditional data warehousing with Snowpark for data engineering and application development, which now contributes 3% of product revenue. The company introduced support for Apache Iceberg tables, enabling customers to use open-source data formats, and launched Hybrid Tables and Container Services to support more diverse workloads. Strategic partnerships have deepened significantly, particularly with Microsoft and OpenAI, allowing customers to access advanced AI models within Snowflake's secure environment. The company also strengthened its relationship with cloud providers, booking over $3.9 billion with AWS in the past four quarters alone. Operationally, Snowflake restructured its sales organization to focus more on consumption growth and new customer acquisition, while developing specialized teams for different product lines. The company has also invested heavily in GPU infrastructure to support AI workloads, representing a significant shift in its cost structure and technical capabilities.
SNOW company profile · for informational purposes only — not investment advice.
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