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.
| Duolingo | Digital Realty Trust | Alibaba Group | |
|---|---|---|---|
| Moat rating | 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%. | 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. | 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. |
| Moat type | 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." | 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. | 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. |
| Leadership | 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. | 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. | 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. |
| Pricing power | 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." | 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 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. |
| Summary | 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." | 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. |
| Chain position | 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." | 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. |
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| Long-horizon vote | +0.13 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.38 at weight 0.20 · swarm neutral Editorial prior, not backtested. |