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 | Microsoft | |
|---|---|---|---|
| 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. | wide The FY2026 10-K (filed 2026-07-29) restates both structural mechanisms verbatim. On cost: the cloud business 'benefits from three economies of scale' — datacenters with 'significantly lower cost per unit than smaller ones', demand aggregation, and multi-tenancy that lowers maintenance labor. On ecosystem: 'A well-established ecosystem creates beneficial network effects among users, application developers, and the platform provider that can accelerate growth.' Both are load-bearing at the new scale — 'Microsoft Cloud revenue increased 27% to $214.4 billion' and 'Commercial remaining performance obligation increased 84% to $678 billion.' Rated wide but held below full confidence because the same filing still cautions that 'Barriers to entry in many of our businesses are low.' |
| 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. | network effects The FY2026 10-K keeps the ecosystem passage scoped to the firm: 'An important element of our business model has been to create platform-based ecosystems on which many participants can build diverse solutions. A well-established ecosystem creates beneficial network effects among users, application developers, and the platform provider that can accelerate growth.' That remains the one moat mechanism the filing asserts about Microsoft as a whole; the cost-of-scale passage stays scoped to 'our cloud business'. |
| 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 FY2026 10-K asserts leadership nowhere. Its AI offerings 'compete with AI products from hyperscalers, as well as products from other emerging competitors and other open-source offerings, many of which are also current or potential partners' — one of a small set at hyperscale in cloud and AI, an incumbent in productivity and PC operating systems. |
| 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. | strong The FY2026 10-K reports 'Gross margin increased $31.6 billion or 16% with growth across each of our segments', with 'Microsoft 365 Commercial revenue ... mainly affected by a combination of continued installed base growth and average revenue per user expansion'. The honest caveat: gross margin percentage 'decreased slightly driven by continued investments in AI infrastructure and growing AI product usage', with Microsoft Cloud gross margin down to 66%. |
| 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. | One repeated model across segments — build a platform, attract developers and partners, monetize the ecosystem that forms — now compounding through the AI wave: FY2026 revenue rose 18 percent 'driven by growth in Microsoft Cloud', Azure and other cloud services grew 41 percent, and the commercial remaining performance obligation reached $678 billion, while the filing still concedes low barriers to entry in many businesses. |
| 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. | Hyperscale AI-infrastructure buyer and platform distributor: monetizes upstream compute through Azure, Microsoft 365 Copilot, and the developer ecosystem. |
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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. | +0.35 at weight 0.20 · swarm bullish Editorial prior, not backtested. |