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.
| Digital Realty Trust | CoreWeave | Walmart | |
|---|---|---|---|
| Moat rating | narrow The FY2025 10-K's own competitive record cuts both ways. Item 1 says a "high-quality, highly interconnected global portfolio such as ours could not be easily replicated today on a cost-competitive basis," yet Item 1A concedes that competitors have "significantly greater financial, marketing and other resources and more ready access to capital" and that as rivals keep developing space, "rental rates may be reduced or we may face delays in leasing." A durable advantage that its own filing says new supply can price against is bounded, not unassailable. | narrow The FY2025 10-K describes a purpose-built AI cloud with a real performance edge, but its own risk section discloses the defining constraint: 'approximately 67% of our revenue from our top customer, Microsoft, for the year ended December 31, 2025' — a specialized platform whose economics rest on one buyer that is also a hyperscaler competitor is narrow, not wide. | narrow Graded on the Item 1A text this run could read from the FY2026 10-K, which is where the filing argues hardest against a wide band. It says "each of our segments competes for customers, employees, digital prominence, products and services" with local, regional, national and global physical, eCommerce and omnichannel retailers, social commerce platforms, wholesale club operators, retail intermediaries "and emerging agentic shopping tools and platforms," that "the omnichannel retail landscape is highly competitive and rapidly evolving, and the entry of new, well-funded competitors, or more rapid development of AI capabilities and agentic tools by these competitors ... may increase competitive pressures," and concedes that "for eCommerce and other internet-based businesses, newer or smaller businesses may be better able to innovate and compete with us" and that there "can be no assurance" Walmart can adopt AI "as quickly or effectively as our competitors." It also warns of retail consolidation producing rivals with "improved financial resources, improved access to merchandise, greater market penetration." The filing claims no market share, rank or scale advantage anywhere in the text available here, and its own competitive-landscape discussion sits in Item 1, which the cached read-through returned only as a cross-reference; a wider band would not be sourced. |
| Moat type | network effects Item 1 attributes the hard-to-replicate part of the portfolio to connectivity rather than to real estate: "the network density, interconnection infrastructure and connectivity-centric customers in certain of our data centers have led to the organic formation of densely connected data communities that are difficult for competitors to replicate." That community sits on over 232,000 cross connects in over 55 metros, so each network and cloud that lands makes the same building worth more to the next tenant. | cost scale The 10-K grounds the advantage in purpose-built infrastructure — first-to-deploy NVIDIA GB200/GB300 NVL72 systems and a data-center fabric 'designed to harness the full potential of each GPU' — a performance-per-dollar edge at scale, not a customer lock. | cost scale What the readable text does describe as durable is physical and logistical scale rather than lock-in or IP. It says Walmart sources "from a wide variety of domestic and international suppliers," that global sourcing is "an important factor in our financial performance," and that finding suppliers able to supply "in the large volumes we may demand" is itself a challenge; it describes a network of stores, clubs and distribution and fulfillment centers in which "many products available for purchase online can be picked up by the customer or member at a local Walmart store or Sam's Club, which provides additional customer traffic at such stores and clubs"; and it lists "supply chain automation and enhancements" among the investments backing the strategy. The first competitive lever it names is "the prices at which we sell our merchandise." The filing offers no intangibles or switching-cost claim beyond noting that protection of its trademarks, copyrights, domain names, patents and trade secrets "may not be available in every jurisdiction." |
| Leadership | co leader Item 1 claims the title of "the largest global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions," but the Competition section names Equinix and NTT as operators of properties "similar to ours in some of the same metropolitan areas," plus Global Switch and regional operators abroad — a shared top tier on the company's own telling, not a solitary one. | co leader The 10-K positions CoreWeave as a first-to-deploy specialist against hyperscalers who offer AI compute 'as part of a broader product portfolio' — a leader of the purpose-built neocloud niche, not of the AI-cloud market its own filing says it competes in. | co leader The 10-K text available this run asserts no rank or share for Walmart. The band reflects two things the filing does say: that its strategy is meant to let it "maintain or grow our overall market position" across segments that already compete at global scale, and that it does not describe itself as ahead in the channels that matter most to it - "for eCommerce and other internet-based businesses, newer or smaller businesses may be better able to innovate and compete with us," and on AI adoption "there can be no assurance that these investments will deliver the anticipated benefits, or that we will be able to adopt and leverage these technologies as quickly or effectively as our competitors." Treat this band as bounded by the missing Item 1 competition discussion, not as a measured position. |
| Pricing power | strong FY2025 renewals signed re-priced upward in every bucket — +27.0% on greater-than-1 MW space ($146 to $186 per square foot), +4.6% on 0-1 MW ($268 to $280) and +43.0% on other ($49 to $71) — and MD&A expects average aggregate rental rates on 2026 renewals to be positive against the rates currently paid for the same space "on a GAAP basis and on a cash basis." On costs, the filing says utilities expense "is our largest expense category" and that "the vast majority of the expense is passed directly through to our customers," which it credits with significantly mitigating exposure to power-cost increases rather than removing it. The cap: Item 1A warns competitor development could still force rates down. | moderate A first-to-deploy performance edge on scarce new NVIDIA systems supports pricing while the hardware is scarce, but 67% single-customer concentration is buyer leverage the filing states outright. | weak The filing names price first among the ways it competes - "we compete in a variety of ways, including the prices at which we sell our merchandise" - and states that higher supplier labour and material costs may "adversely impact product margins ... that we are unable, or choose not, to pass on to our customers." It adds that macro conditions can "change the mix of products we sell to any one or more markets with a lower average gross margin" and "result in slower inventory turnover and greater markdowns of inventory." In health and wellness the price is set by counterparties, not by Walmart: "a large majority of our retail pharmacy net sales are generated by filling prescriptions for which we receive payment through established contractual relationships with third-party payers and payment administrators, such as private insurers, governmental agencies and pharmacy benefit managers," exposing it to "reductions in the third-party reimbursement rates for drugs." |
| Summary | Digital Realty rents space, power and connectivity rather than compute: at 2025 year-end its portfolio held 310 data centers and roughly 57.6 million rentable square feet across more than 55 metros in over 30 countries, about 84.7% leased, serving more than 5,000 customers. Two different businesses sit inside that footprint. The greater-than-1 MW wholesale side is a capital-and-power race — 769 MW of projects underway with 64% pre-leased, and land that "could accommodate over 3,500 megawatts of additional data center capacity" — where the 10-K names Equinix, NTT, Global Switch and "various private operators" as rivals and warns that added supply can push rents down. The colocation and interconnection side is the defended half: over 232,000 cross connects and the "densely connected data communities" Item 1 says competitors cannot easily replicate, reinforced by contracts the filing describes as generally running 5-10+ years on large deployments and by improvements "installed at our customers' expense." FY2025 leasing supports that read — renewals signed re-priced +27.0% on greater-than-1 MW space and +4.6% on 0-1 MW — while customer concentration is the offsetting exposure, with the largest customer at roughly 11.7% of annualized recurring revenue. | CoreWeave sells a full-lifecycle AI cloud — training, inference, data movement, agentic workflows — on infrastructure 'purpose-built to accelerate breakthroughs by AI pioneers,' with the Weights & Biases acquisition adding the developer tooling layer as 'a single stack.' The edge the filing claims is speed and efficiency on the newest NVIDIA systems. The moat's ceiling is in the same document's risk factors: 67% of 2025 revenue came from Microsoft, and the hyperscalers it competes with are 'also customers of, and partners to, CoreWeave' — the largest buyer and the largest rival are the same companies. | In the FY2026 10-K text readable this run, Walmart describes an "enterprise strategy, which combines traditional retail, membership models, marketplaces, financial services, health and wellness and other customer and business services into a series of interconnected assets to make it seamless for customers to interact with us," carried by stores, clubs and distribution and fulfillment centers that double as pickup and delivery nodes and by continuing investment in eCommerce, AI and supply chain automation. The filing sets its own limits on that: it calls the omnichannel landscape "highly competitive and rapidly evolving," warns that well-funded entrants and faster AI or agentic tooling by rivals may increase pressure, that smaller businesses may out-innovate it online, and that "a greater concentration of eCommerce sales, including increasing online grocery sales and the increasing role of AI-enabled platforms in product search, discovery, advertising and purchasing, could result in a reduction in the amount of traffic in our stores and clubs." On economics it concedes supplier cost increases it may be "unable, or choose not, to pass on to our customers," and it points investors to "advertising and other higher-margin initiatives (which are expected to help drive our operating income growth at a rate faster than net sales over the long term)" rather than to price. |
| Chain position | Landlord to the AI stack — sells the space, power and interconnection that cloud, network and enterprise tenants run compute in (Oracle, IBM, Meta Platforms, AT&T, Comcast and Lumen are among the customers named in Item 1), with roughly 2.9 GW of total in-place IT capacity. | Layer-8 purpose-built AI neocloud — first-to-deploy NVIDIA systems for training and inference at scale. | A retailer that also intermediates: it sells its own sourced merchandise, hosts third-party marketplace sellers for whom it may provide "fulfillment, inventory management, tax collection, payment processing, content," sells digital advertising against that traffic, dispenses prescriptions under PBM and payer contracts, and offers financial services "including through our digital channels, stores and clubs, as well as our OnePay fintech venture." |
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| Long-horizon vote | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.05 at weight 0.20 · swarm neutral Editorial prior, not backtested. |