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 | Hut 8 | Snowflake | |
|---|---|---|---|
| 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 says 'we believe we have established a defensible competitive advantage through our power-first, innovation-driven strategy', resting on a power-native team, an application-agnostic framework for digital infrastructure design, end-to-end greenfield development capabilities, and the use of ASIC compute builds to rapidly and cost-effectively secure and monetize power. What separates this from no moat is scarce power: the filing says demand for energy capacity continues to outpace supply and that 'grid interconnection bottlenecks have further constrained access to power and digital infrastructure development', and Hut 8 reports 330 MW of utility capacity under construction at River Bend, commercialized in December 2025 through a 15-year triple-net lease supporting 245 MW of IT capacity, plus 1,230 MW of utility capacity under development. The same filing says 'The industries in which we operate are highly competitive and continuously evolving.', warns that these factors 'might not provide the competitive advantage we anticipate, or if they do, such competitive advantage might not endure', cites the River Bend lease (valued at $7.0 billion over the base term) as an example of expecting a significant portion of revenue from a limited number of customers, and says the company has not maintained consistent profitability. That supports narrow at most, not wide. | 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. |
| 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 says 'we believe success depends on the ability to secure scarce assets like power, data center equipment, and customers', and places part of its claimed edge in 'our ability to use ASIC compute infrastructure development to rapidly and cost-effectively secure and monetize power'. Its examples: Vega was energized less than a year after acquisition for an all-in cost of about $455,000 per megawatt, which the filing calls 'a fraction of traditional data center costs', and Salt Creek was completed for about $250,000 per MW; Vega also has immediate access to some of the lowest locational wholesale power prices in North America. These are low-redundancy ASIC compute builds, which the 10-K says carry relatively low capital intensity by design. The 'fraction of traditional data center costs' comparison is against a different facility tier, and the filing gives no peer cost comparison and no cost figure for its AI campuses. | 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. |
| 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. | fast follower The 10-K says 'For example, we signed our first large scale single tenant AI data center lease and commenced construction of the site at our River Bend campus.', offered under the statement that to remain competitive with peers it may need to modify aspects of its business model. River Bend was commercialized in December 2025 through a 15-year triple-net lease supporting 245 MW of IT capacity; Fluidstack is expected to serve as tenant and Google is expected to provide a financial backstop, and initial delivery is targeted for Q2 2027. On speed, the filing says 'Through early engagement with Entergy Louisiana, we assumed key interconnection and development functions typically managed by the utility, such as the development of transmission and distribution infrastructure, materially accelerating originally quoted power delivery timelines.', and that Vega was energized 'less than a year after acquiring it'. It also warns that Hut 8 competes against companies 'that may be more established or have greater financial and other resources and/or expertise'. That describes a newer entrant moving quickly, not an established leader. | 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. |
| 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. | weak The 10-K says ASIC compute, run through American Bitcoin, can only be profitable if hardware and electricity costs are below the price of the Bitcoin mined, which makes it a price-taking business. It also says Traditional Cloud and AI Cloud compete with cloud services providers for customers, and that the company has not maintained consistent profitability. River Bend's contracted triple-net lease economics are not in service yet; initial delivery is targeted for Q2 2027. | 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.' |
| 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. | Per its FY2025 10-K, Hut 8 is a power-first infrastructure developer. It originates powered land and interconnections, uses ASIC compute builds, which the filing says combine relatively low capital intensity with rapid deployment, as a transitional load to monetize sites sooner, and aims to transition suitable power assets to higher-return uses; its River Bend campus was commercialized through a 15-year AI data center lease. The filing claims a defensible advantage but warns it might not provide the advantage anticipated, or might not endure. It says Hut 8 competes for powered land with digital infrastructure developers and large-scale Bitcoin miners, and its first AI campus is still under construction. Its majority-owned Bitcoin miner, American Bitcoin, can only be profitable when mining costs are below the price of the Bitcoin mined, and the filing says it believes American Bitcoin must keep acquiring miners to keep up with a growing global network hashrate. | 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.' |
| 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. | Power-first developer building AI data center capacity, beginning with River Bend under a 15-year lease (Fluidstack is the expected tenant and Google is expected to provide a financial backstop; initial delivery is targeted for Q2 2027), and runs Bitcoin mining through majority-owned American Bitcoin. | 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. |
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| Long-horizon vote | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |