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 | Duolingo | |
|---|---|---|---|
| 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. | narrow Wide is ruled out by the company's own Item 1A, which concedes "low switching costs" and that "Low barriers to entry allow start-up companies with lower costs and less pressure for profitability to compete with us." It sits well above none because Q4 DAUs grew 30% to 52.7M, DAU/MAU rose to 39.6% from 34.7%, and marketing took only 12% of FY2025 revenue, though that ratio was flat versus FY2024 and gross margin fell to 72.2% from 72.8%. It stays narrow rather than eroding because Q1 FY2026 DAUs and paid subscribers each grew 21%. |
| 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. | intangibles ip The intangible is the consumer brand, not patents: Item 1 says "For many, Duolingo has become synonymous with language learning" and that growth is "organic, primarily driven by word-of-mouth and brand buzz," while the IP section discloses only "two patent applications." Switching costs are ruled out by the filing's own "low switching costs" caption. The data-scale support is the filing's own characterisation, and the brand is admittedly damageable: an April 2025 AI memo "may have contributed to unfavorable publicity, adverse impacts on the Company's brand and social media presence, and a deceleration in user growth." |
| 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). | clear leader Leadership holds within consumer app-based language learning, anchored on one externally checkable claim in Item 1: the app "is also the top-grossing app globally in the Education category on both Google Play and the Apple App Store," with "over 250 total language courses to more than 130 million monthly active users" as of 2025-12-31. The broader "leading market position" claim is the filing's own characterisation, and no third-party share statistic appears anywhere in the 10-K, so a band is recorded and no percentage transcribed. The band does not extend to assessment, literacy, math, music, chess or offline learning, where the filing claims no position. |
| 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. | weak Every mechanism is cost, mix or volume, never price. FY2025 gross margin fell to 72.2% from 72.8% on "increased AI costs used in features like Video Call" and an advertising mix shift; the Q1 FY2026 gain to 73.0% came from "continued reductions in per-unit AI costs," with margin guided to about 71.0% in Q2 and "approximately 69.0% by Q4." The filing concedes it "may not be able to fully offset such higher costs through price increases." Subscription revenue rose 44% to $873.4 million "primarily due to an increase in the average number of paid subscribers," and the cap is self-imposed: "We intentionally do not put our learning content behind a paywall." |
| 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. | Duolingo's moat is essentially one asset — a consumer brand strong enough that the filing claims people "search for the term 'Duolingo' much more often than 'learn Spanish'" — sitting on real but not defensive scale. It converts into economics through organic acquisition: sales and marketing took 12% of FY2025 revenue while Q4 DAUs grew 30% to 52.7 million and DAU/MAU rose to 39.6% from 34.7%. It is not wide, because the company supplies both disqualifiers itself: "low switching costs" and "Low barriers to entry allow start-up companies with lower costs and less pressure for profitability to compete with us." Width and pricing power diverge: Duolingo will not price against its own free product, grows subscription revenue by adding subscribers ($873.4 million, up 44%), and guides gross margin down to roughly 69% by Q4 FY2026 "as AI feature use expands in our products." |
| 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. | A consumer AI application and net buyer of model inference. The filing ties its margin line directly to inference cost, attributing the FY2025 subscription gross-margin decline to "increased AI costs used in features like Video Call" and guiding margin to approximately 69.0% by Q4 FY2026 "as AI feature use expands," while the Q1 FY2026 beat came from "reductions in per-unit AI costs." |
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| 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. | +0.13 at weight 0.20 · swarm bearish Editorial prior, not backtested. |