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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 Digital Realty Trust×Alibaba Group×Nebius Group× maximum of 3 — remove one to swap
Digital Realty Trust DLR ai moat: latest change 2026-02-13 Alibaba Group BABA ai moat: latest change 2026-05-20 Nebius Group NBIS ai moat: latest change 2026-04-30
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.

source: sec.gov

wide

The FY2026 20-F rests on two entrenched positions: a commerce ecosystem the filing ties to 'the world's largest online retail market' with 'over 1.1 billion Internet users,' and a cloud business whose 'Cloud Intelligence Group's external revenue growth accelerated to 40% in the final quarter of fiscal 2026, with AI-related products accounting for 30% of this revenue.' Two durable franchises under one roof is a wide moat — bounded by China regulation and US ICTS cloud controls the same filing flags.

source: sec.gov

narrow

The FY2025 20-F positions Nebius as 'one of the few global, at scale, multi-tenant clouds purpose built for AI,' but the same filing names its central dependency plainly: 'We currently rely on Nvidia for the GPU chips we use' — a purpose-built neocloud renting a supply the hyperscalers it competes with also control, which is a real but narrow position.

source: sec.gov

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.

source: sec.gov

network effects

The 20-F names 'the network effects of our ecosystems' among the factors its business depends on: Taobao and Tmall, Alipay, Amap and the rest compound as buyers, sellers and services reinforce each other across one integrated ecosystem.

source: sec.gov

cost scale

The moat the filing describes is engineering: designs that 'optimize power and cooling efficiency, lower latency' plus 'a consistent track record of being one of the first-to-deploy the latest generation of NVIDIA GPU chips' — density and time-to-deploy at scale, not a switching lock.

source: sec.gov

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.

source: sec.gov

clear leader

The 20-F claims leadership in applied AI ('strengthened our leadership in applied AI') and roots the commerce business in the world's largest online retail market; Alibaba Cloud is the leading China hyperscaler pivoting to AI, per the segment discussion — a category leader in both its home markets.

source: sec.gov

fast follower

The 20-F's own claim is 'one of the FEW global, at scale' AI clouds — a differentiated challenger to the hyperscalers it names as the competitive field, not a claimed leader of it; the first-to-deploy record is a follower's speed advantage, not category leadership.

source: sec.gov

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.

source: sec.gov

moderate

Ecosystem lock-in and cloud scale support pricing, but the filing warns that if 'user activity and engagement in our ecosystem may decrease … our market share and profitability may be negatively affected,' and Chinese e-commerce/cloud competition is intense — real but capped pricing power.

source: sec.gov

weak

The filing frames a 'highly competitive' market with 'frequent introduction of new or improved solutions' and a GPU cost base set by a single supplier (NVIDIA) — a renter of compute competing on efficiency has little list-price control.

source: sec.gov

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.

Alibaba is a commerce network and an AI cloud fused into one ecosystem. The retail side draws its moat from network effects the filing names explicitly, rooted in the world's largest online retail market; the cloud side is pivoting hard into AI — Alibaba Cloud's 'growth engine fully pivots from traditional compute and storage to models, AI compute, and agent services,' anchored by the in-house Qwen family (Qwen3.7-Max 'specifically engineered for agents') and the PAI platform. The 20-F's own framing is 'leading full-stack capabilities across the AI value chain.' The counterweights are structural rather than competitive: a Cayman VIE structure, China's regulatory environment, and the US Commerce Department's proposed ICTS cloud-computing controls the filing discloses.

Nebius sells a 'unified full-stack AI cloud that spans the complete AI journey – from compute capacity to software and services,' with hardware and software built in-house — the neocloud pitch of hyperscaler reliability at purpose-built efficiency, and a first-to-deploy record on new NVIDIA silicon. Two things bound the moat, both from the filing: it 'currently rel[ies] on Nvidia for the GPU chips,' the same constraint every neocloud shares, and it is a Nasdaq 'Controlled Company' whose founding shareholder holds concentrated voting power. The three non-core segments (Toloka, Avride, TripleTen) are separate businesses, not the cloud moat.

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 hyperscaler + AI-application incumbent: Alibaba Cloud supplies AI compute and the Qwen models while the commerce ecosystem is a vast applied-AI distribution surface.

Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale.

Products (share / barrier)
  • Nebius AI cloud (GPU compute + managed AI/ML platform) Challenger · Moderate source: sec.gov
  • Toloka / Avride / TripleTen (non-cloud segments) Unknown · Low source: sec.gov
Long-horizon vote +0.17 at weight 0.20 · swarm neutral

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+0.38 at weight 0.20 · swarm neutral

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-0.01 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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