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"explanations": { "scqa_arc": "Slides 5-10 establish the situation and slides 12-25 provide evidence, but there is little explicit complication or question before the answer, making the flow closer to an investor update than SCQA.", "action_titles": "Many titles are polished topic labels rather than insight sentences; for example, slide 13 uses \"Q3 Financial Highlights\" instead of stating the financial takeaway.", "mece_structure": "The deck has a broadly logical product-to-traction-to-financials-to-appendix structure across slides 4-35, but product categories, ecosystem proof, and AI cloud metrics overlap without an explicit MECE storyline.", "closing_strength": "The main narrative effectively ends with FY26 guidance on slide 25, while slide 35 is only a generic thank-you slide with no recommendation, ask, or next-step agenda.", "evidence_quality": "Financial and market claims are well supported by metrics, charts, guidance, and reconciliations on slides 12-25 and 28-33, though 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"suggestions": [ "Add an executive thesis slide after the legal disclaimers that states the investable claim, e.g. Snowflake is combining expanding AI demand, enterprise adoption, and improving efficiency into durable growth.", "Rewrite section dividers as argument pillars: platform breadth, ecosystem traction, enterprise monetization, efficient scaling, and forward outlook.", "Convert topic titles into action titles with explicit implications, such as changing 'Large and Growing Market' on slide 12 to 'Snowflake's addressable market is expected to double by CY29.'", "Add a closing synthesis before the appendix that restates the three strongest investor reasons to believe and links them directly to FY26 guidance.", "Reduce front-loaded friction by moving nonessential disclaimers after the main close where legally permissible, or adding a thesis page immediately after them." ], "closingScore": 52, "openingScore": 38, "topStrengths": [ "Clear investor evidence sequence from market size 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Non-GAAP product gross margin is calculated as non-GAAP product gross profit as a percentage of product revenue. Non-GAAP operating margin is calculated as non-GAAP operating income as a percentage of revenue. Our non-GAAP net income per share attributable to Snowflake Inc. common stockholders—basic is calculated by dividing non-GAAP net income attributable to Snowflake Inc. by the weighted-average number of shares of common stock outstanding during the period. Our non-GAAP net income per share attributable to Snowflake Inc. common stockholders—diluted is calculated by dividing non-GAAP net income attributable to Snowflake Inc. by the non-GAAP weighted-average number of diluted shares outstanding, which includes (a) the effect of all potentially dilutive common stock equivalents (stock options, restricted stock units, employee stock purchase rights under our 2020 Employee Stock Purchase Plan), (b) the potential dilutive effect of the shares issuable upon conversion of our 0% convertible senior notes due 2027 and 0% convertible senior notes due 2029 (collectively, the Notes) using the if-converted method, and (c) the antidilutive impact, if any, of the capped call transactions entered into in connection with the Notes (the Capped Calls). The Capped Calls are expected to reduce the potential dilutive to our common stock upon any conversion of the Notes under certain circumstances. Under GAAP, the antidilutive impact of the Capped Calls is not reflected in diluted shares outstanding until exercised. The potential dilutive effect of outstanding restricted stock units with performance conditions not yet satisfied is included in the non-GAAP weighted-average number of diluted shares at forecasted attainment levels to the extent we believe it is probable that the performance conditions will be met. Amounts attributable to noncontrolling interest were not material for all periods presented. 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Cash outflows for employee payroll tax items related to the net share settlement of equity awards are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow. Free cash flow margin is calculated as free cash flow as a percentage of revenue. 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These non-GAAP financial measures are in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. There are a number of limitations related to the use of these non-GAAP financial measures versus their nearest GAAP equivalents. For example, other companies may calculate non-GAAP financial measures differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of our non-GAAP financial measures as tools for comparison. 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Numbers are rounded for presentation purposes. The full-year fiscal 2026 product revenue guidance is based on the higher end of the fourth quarter fiscal 2026 guidance. 1. Please see the Appendix for a reconciliation of GAAP to non-GAAP financial measures for historical periods. 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For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. We do not include customers that consume our platform only under on-demand arrangements for purposes of determining our customer count. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0381167e-f8bf-497c-8f53-0827ea6737b6", "parentComponentId": null }, { "bbox": { "h": 0.11, "w": 0.9, "x": 0.05, "y": 0.62 }, "kind": "paragraph", "text": "Product Revenue: Product revenue is primarily derived from the consumption of compute, storage, and data transfer resources by customers on our platform. Customers have the flexibility to consume more than their contracted capacity during the contract term and may have the ability to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Our consumption-based business model distinguishes us from subscription-based software companies that generally recognize revenue ratably over the contract term and may not permit rollover. Because customers have flexibility in the timing of their consumption, which can exceed their contracted capacity or extend beyond the original contract term in many cases, the amount of product revenue recognized in a given period is an important indicator of customer satisfaction and the value derived from our platform. While customer use of our platform in any period is not necessarily indicative of future use, we estimate future revenue using predictive models based on customers' historical usage to plan and determine financial forecasts. Product revenue excludes our professional services and other revenue.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "116a18f2-9b41-4407-8df1-86043035c031", "parentComponentId": null }, { "bbox": { "h": 0.11, "w": 0.9, "x": 0.05, "y": 0.74 }, "kind": "paragraph", "text": "Remaining Performance Obligations. Remaining performance obligations (RPO) represent the amount of contracted future revenue that has not yet been recognized, including (i) deferred revenue and (ii) non-cancelable contracted amounts that will be invoiced and recognized as revenue in future periods. RPO excludes performance obligations from on-demand arrangements and certain time and materials contracts that are billed in arrears. Portions of RPO that are not yet invoiced and are denominated in foreign currencies are revalued into U.S. dollars each period based on the applicable period-end exchange rates. RPO is not necessarily indicative of future product revenue growth because it does not account for the timing of customers' consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by a number of factors, including the timing and size of renewals, the timing and size of purchases of additional capacity, average contract terms, seasonality, changes in foreign currency exchange rates, and the extent to which customers are permitted to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Due to these factors, it is important to review RPO in conjunction with product revenue and other financial metrics disclosed elsewhere herein.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "28580036-5d2a-4c93-9443-cba13ee9ed89", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.27 }, "kind": "paragraph", "text": "Data Sharing: We consider a customer to have engaged in data sharing if such customer had at least one stable edge as of October 31, 2025. An \"edge\" is a data or native application share between a Snowflake customer, as a 'provider,' and another Snowflake customer, as a 'consumer.' A \"stable edge\" is an edge that has produced at least 20 jobs in which compute resources are consumed and such consumption results in recognized product revenue over two successive three-week periods (20 jobs in each period). Effective February 1, 2024, we adjusted the definition of \"stable edge\" to include native application shares in addition to data shares, and for the purposes of this presentation, have adjusted comparative period amounts accordingly.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8038aa0f-d670-4290-958e-049f89e0e215", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.9, "x": 0.05, "y": 0.42 }, "kind": "paragraph", "text": "Marketplace Listing: Each live dataset, package of datasets, or data service published by a data provider as a single product offering on Snowflake Marketplace is counted as a unique listing. A listing may be available in one or more regions where Snowflake Marketplace is available.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92c11ab5-1eb3-4e93-a6f5-ff9ebd38877c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.86 }, "kind": "paragraph", "text": "Total Customers: We count the total number of customers at the end of each period. For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. We do not include customers that consume our platform only under on-demand arrangements for purposes of determining our customer count. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95dbbd97-6eba-463c-a310-8473d655992c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.36 }, "kind": "paragraph", "text": "Forbes Global 2000 Customers: Our Forbes Global 2000 customer count is a subset of our customer count based on the 2025 Forbes Global 2000 list. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:03:46.809+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be484719-247f-441b-bb6e-89bef869579e", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.46 }, "kind": "paragraph", "text": "Net Revenue Retention Rate: To calculate net revenue retention rate, we first specify a measurement period consisting of the trailing two years from our current period end. Next, we define as our measurement cohort the population of customers under capacity contracts that used our platform at any point in the first month of the first year of the measurement period. The cohorts used to calculate net revenue retention rate include end-customers under a reseller arrangement. We then calculate our net revenue retention rate as the quotient obtained by dividing our product revenue from this cohort in the second year of the measurement period by our product revenue from this cohort in the first year of the measurement period. Any customer in the cohort that did not use our platform in the second year remains in the calculation and contributes zero product revenue in the second year. Our net revenue retention rate is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our net revenue retention rate for historical periods reflecting these adjustments. 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