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Compare moats

Up to three covered companies, band by band. Every call is a curated editorial judgment, never a disclosed figure — and every band carries its cited basis.

comparing Snowflake×Applied Digital×Salesforce× maximum of 3 — remove one to swap
Snowflake SNOW ai moat: latest change 2026-03-20 Applied Digital APLD ai moat: latest change 2026-07-29 Salesforce CRM ai moat: latest change 2026-08-05
Moat rating narrow

Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year.

source: sec.gov

none

The FY2026 10-K (filed 2026-07-29) shows contracted revenue, not a demonstrated competitive edge. About 1,410 MW is leased under 15-year take-or-pay, non-cancellable base terms worth about $36.2 billion, but only about 100 MW of the roughly 1.5 GW that is contracted and either operating or under construction was operating and earning revenue at May 31, 2026, and Item 1A says "lessees may have the right to terminate applicable leases if there are significant delays in construction." Item 1A also concedes "We do not have the resources to compete with larger providers of similar products or services at this time," and the Competition section names 13 power-advantaged developers the company competes with. Signed leases give revenue visibility, but the filing does not show a durable advantage.

source: sec.gov

narrow

Salesforce's own language caps this at narrow: Item 1 calls its market "highly competitive, rapidly evolving and fragmented, and subject to changing technology with low barriers to entry." What holds it above none is scale and contract duration: $72.4B total RPO at 2026-01-31 versus $63.4B (+14%), current RPO $35.1B versus $30.2B (+16%), on revenue of $41.5B (+10%). But cRPO growth "was positively impacted by three percent" by currency, and total RPO "includes approximately $2.2 billion" from Informatica, acquired November 2025. Adjusted, the contracted base still outgrows revenue, but by less than the headline implies.

source: sec.gov

Moat type switching costs

The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away.

source: sec.gov

none

The 10-K claims three advantages: power-advantaged sites (it believes securing power and interconnection ahead of demand is 'the principal constraint on new HPC capacity and a core differentiator for us from many of our competitors'), a standardized 'franchise-style' design, and hyperscaler master service and master telecom service agreements 'that are difficult to obtain.' The filing does not show any of them to be durable. Its Competition section says competition 'centers on securing and developing sites with access to large-scale, reliable, and cost-competitive power and interconnection' and names 13 power-advantaged developers going after the same leases, and Item 1A concedes it lacks the resources to compete with larger providers. Signed leases are take-or-pay and non-cancellable, so a tenant leaving for convenience owes 'the full remaining contractual value,' but that is contractual lock-in on each lease rather than a moat source, so no moat type is assigned.

source: sec.gov

switching costs

Switching costs, with a caveat: the filing's clearest lock-in sentence is about rivals' customers, not its own. "Many prospective customers have invested substantial personnel and financial resources to implement and integrate their current enterprise software... may be reluctant or unwilling to migrate away" is a headwind to Salesforce's own growth. Evidence for its own base is architectural: Data 360 unifies data into "a single, governed source of truth," Agentforce runs on existing processes "without requiring customers to remove and rebuild," behind $72.4B of contracted revenue. Contracts run "typically 12 to 36 months" with no renewal obligation.

source: sec.gov

Leadership co leader

The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets.

source: sec.gov

behind

The 10-K makes no leadership claim and gives no ranking or share figure. Item 1A concedes "We do not have the resources to compete with larger providers of similar products or services at this time" and that some rivals have "substantially greater liquidity and financial resources than we do." Its Competition section places APLD against established operators (Digital Realty, Equinix), hyperscalers that build their own capacity, independent developers and 13 named power-advantaged developers (IREN, Cipher Digital, TeraWulf, Hut 8, Riot, CleanSpark, HIVE, Core Scientific, Bitdeer, Galaxy Digital, Fermi, Keel Infrastructure, MARA).

source: sec.gov

clear leader

Clear leader in the category as it exists today, runner-up in the one it is being rebuilt into. Per IDC's Worldwide Semiannual Software Tracker on 2025 data, Salesforce was first in worldwide CRM applications for a thirteenth consecutive year at 20.0% share, and first in Sales (fourteenth year), Customer Service (thirteenth), Marketing (seventh), model-driven application platform (eleventh) and Integration (fourth). These come from Salesforce announcing its own IDC results via a trade outlet, in translation, not IDC primary material. In the same tracker's new Agent Build and Deploy segment it ranked second at 17.5%, albeit as fastest-growing vendor.

source: sec.gov

Pricing power moderate

The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.'

source: sec.gov

weak

Item 1A says "Due to the limited number of hyperscalers, we expect that a limited number of customers will continue to account for a high percentage of our revenue for the foreseeable future," and that if customers' equipment usage declines or they discontinue use of its facilities, APLD "may be compelled to lower our lease prices in some instances or risk losing a significant customer." One customer was 59% of FY2026 revenue from continuing operations. Take-or-pay, non-cancellable terms protect contracted revenue over the base term, and Note 19 reports a $39.1M HPC Hosting segment profit on $385.3M of segment revenue in FY2026, but those terms are agreed with a small group of concentrated buyers.

source: sec.gov

moderate

Gross margin rises across the Item 7 table — gross profit of $32,255M on $41,525M of revenue, 78% of total revenues in FY2026 against 77% in FY2025 and 75% in FY2024 — yet MD&A denies price as the cause: growth "was primarily caused by volume-driven increases from new business," and "Pricing was not a significant driver of the increase in revenues for the period." Item 1A names consumption-based pricing among attrition factors, says Agentforce and Data 360 monetization "remain relatively new and uncertain," and concedes "limited experience with determining optimal pricing for our consumption-based contracts."

source: sec.gov

Summary

Snowflake's advantage in its FY2026 10-K rests on being the consolidation point for enterprise data: a multi-cluster shared-data architecture with proprietary columnar storage and automatic micro-partitioning, delivered across three major public clouds and 53 interconnected regional deployments, that customers adopt as a single governed source of truth and then expand on — 125% net revenue retention, 790 of the Forbes Global 2000 as customers. The filing layers a collaboration claim on top, with sharing 'generally without copying or moving the underlying data' and a Marketplace of 'hundreds of live, ready-to-query third-party data sets and data products.' The same document is unusually candid about the counter-pressure: Iceberg and open formats reduce lock-in by the company's own account, the three hyperscalers compete across every market while setting the cloud costs that 'significantly influence' gross margins, and frontier AI model providers 'may seek to vertically integrate ... by expanding into the data storage and management layers.'

Applied Digital designs, builds and operates purpose-built, liquid-cooled HPC data centers, which it calls 'AI factories', and leases the capacity to CoreWeave and investment-grade hyperscalers. At May 31, 2026 its 10-K lists five campuses (Polaris Forge 1-3 and Delta Forge 1-2) with about 1,410 MW contracted under roughly 15-year take-or-pay, non-cancellable leases worth about $36.2 billion over the base terms. The filing claims three sources of advantage: it controls power-advantaged sites, it uses a standardized 'franchise-style' design built to deliver about 150 MW in about 14 to 18 months, and it holds hyperscaler master agreements that are 'difficult to obtain.' The same document shows how early the company is. About 100 MW was operating and earning revenue. One customer was 59% of FY2026 revenue from continuing operations. It competes with Digital Realty, Equinix, hyperscalers that build their own capacity and 13 named power-advantaged developers, and it concedes that it lacks the resources to compete with larger providers. Signed leases give long-dated revenue visibility, but the filing does not show a durable competitive advantage.

Salesforce is the incumbent of record in CRM applications and is paid like one: $41.5B of FY2026 revenue (+10%), 78% gross margin, $72.4B of contracted revenue not yet recognized, and first place in worldwide CRM for a thirteenth consecutive year at 20.0% share per IDC's tracker as announced by Salesforce. Enterprise data and workflow embedded through Data 360 and Agentforce is costly to unwind, and the agentic layer is deliberately built atop existing processes rather than requiring re-implementation. The limits are the company's own: it twice describes its market as having low barriers to entry, names AI-native startups whose solutions "may bypass traditional business process workflows or displace established user interfaces," ranks second at 17.5% in IDC's new Agent Build and Deploy segment, and concedes pricing did not drive FY2026 growth.

Chain position

Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top.

Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers.

Applications-layer incumbent: sells enterprise CRM and agentic software to end customers across industries, consumes cloud infrastructure (third-party IaaS partners plus its own Hyperforce estate) and third-party LLMs, and sits upstream of no hardware supply chain. Exposure is to enterprise software budgets and to whether the agentic layer is captured by incumbent suites or AI-native entrants.

Products (share / barrier)
  • Blockchain data center hosting (Jamestown / Ellendale) Niche · Low source: sec.gov
  • HPC data center leasing (Polaris Forge / Delta Forge AI factories) Challenger · Moderate source: sec.gov
Long-horizon vote +0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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-0.20 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.20 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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