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.
| Nebius Group | Applied Digital | Oracle | |
|---|---|---|---|
| Moat rating | 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. | 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. | wide Oracle's FY2026 10-K (fiscal year ended May 31, 2026) describes an installed base in which "substantially all customers opt to purchase software support contracts when they purchase an Oracle software license"; that entrenchment shows up externally as the #1 DB-Engines database ranking (August 2026, first of 435 systems) and $638B of contracted Remaining Performance Obligations at Q4 FY2026 (press release, June 10, 2026) — a durable, multi-decade lock on mission-critical enterprise data layers. |
| Moat type | 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. | 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. | switching costs The core moat is the cost of moving mission-critical databases and back-office suites: the FY2026 10-K notes substantially all license customers attach support contracts and that Oracle's Multicloud Database offerings run Oracle AI Database inside other hyperscalers' clouds — monetizing the installed base even when the customer's infrastructure leaves; the KLAS 2026 EHR report shows the same dynamic in health IT, where roughly a third of Oracle Health customers want to leave but feel unable to do so. |
| Leadership | 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. | 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). | co leader Split by line: clear leader in database (DB-Engines August 2026 ranks Oracle #1 and Oracle-owned MySQL #2 of 435 systems); one of the largest enterprise-application vendors ($15.9B FY2026 SaaS revenue, competing with SAP, Salesforce, Workday and Microsoft per the FY2026 10-K); but in cloud infrastructure a ~4%-share fast-growing challenger behind Amazon (28%), Microsoft (20%) and Google (15%) per Synergy Q2 2026 data (The Register, 2026-08-01), and #2 in US acute-care EHR behind Epic (KLAS 2026). |
| Pricing power | 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. | 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. | moderate Strong in the installed base — the FY2026 10-K states substantially all license customers purchase support contracts, a recurring stream customers rarely drop — but the same 10-K lists "total cost of ownership" first among key competitive factors and describes intense competition across every segment; AI-infrastructure deals are won against hyperscalers and neoclouds, and Q4 FY2026 SaaS grew a moderate 10% versus 93% for IaaS (press release, June 10, 2026). |
| Summary | 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. | 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. | Oracle pairs the deepest switching-cost franchise in enterprise software — the #1-ranked database (DB-Engines, August 2026) plus Fusion/NetSuite back-office suites, with support attach near-universal per the FY2026 10-K — with a late but explosive push into AI cloud infrastructure: Q4 FY2026 IaaS revenue grew 93% to $5.8B and RPO reached $638B (up 363% YoY), mostly large-scale AI contracts (press release, June 10, 2026). The two reinforce each other via multicloud — Oracle Multicloud AI Database grew 404% in Q4 running inside rival clouds. The offsets: in cloud infrastructure Oracle is still a ~4%-share challenger behind AWS/Microsoft/Google (Synergy Q2 2026 data via The Register), the AI buildout drove FY2026 free cash flow to negative $23.7B, and the Cerner-based Oracle Health business has lost US hospital share for three straight years (KLAS 2026). |
| Chain position | Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale. | Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers. | Supply-chain role in AI: OCI sells GPU compute for AI training and inference — the Q4 FY2026 press release attributes most of the $85B sequential RPO increase to large-scale AI contracts (some with customer-prepaid or customer-supplied GPUs totaling $75B) and guides FY2027 total revenue to $90B — making Oracle a primary capacity supplier to AI model builders. |
| Products (share / barrier) |
|
|
|
| Long-horizon vote | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.20 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.30 at weight 0.20 · swarm bullish Editorial prior, not backtested. |