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.
| Alphabet | KLA Corporation | Nebius Group | |
|---|---|---|---|
| Moat rating | wide Google Search commands ~91% of worldwide search (StatCounter, Jun 2026) and Alphabet sustained a 32% consolidated operating margin on $402.8B of FY2025 revenue (FY2025 10-K), evidence of a durable, dominant advantage. | wide The fiscal 2026 10-K states 'The strength of our competitive positions in many of our existing markets is primarily due to our leading technology', and frames process control as 'an essential enabler' of the yield ramp in fabs the filing says now cost 'well above $10 billion'. | 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. |
| Moat type | network effects The 10-K states competing in advertising depends on simultaneously attracting and retaining users, advertisers, and content providers — a three-sided marketplace whose value compounds with scale, the classic network-effect flywheel behind ~85% of Alphabet's revenue. | intangibles ip The 10-K reports over 9,100 active patents and over 3,600 pending applications with terms running through 2045, alongside proprietary process-control software (Klarity, I-PAT, aiSIGHT) that turns inspection and metrology data into yield learning. | 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. |
| Leadership | clear leader Clear leader in its core markets — ~91% of worldwide search and ~69% of mobile OS (StatCounter, Jun 2026) — though only the #3 hyperscaler in cloud infrastructure at ~13%, behind AWS and Azure (Synergy Research, Q2 2025). | clear leader The 10-K opens by describing KLA as a supplier of 'industry-leading equipment and services' and attributes its competitive positions 'in many of our existing markets' primarily to leading technology; named competitors are Applied Materials, ASML, Hitachi High-Tech, Lasertec and Onto Innovation. | 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. |
| Pricing power | strong A 32% consolidated operating margin held flat 2024→2025 on $402.8B revenue (FY2025 10-K), reflecting strong pricing power in a near-monopoly search-ad auction. | strong Services were approximately 23% of fiscal 2026 total revenues on an installed base that recurs, backlog nearly doubled to $12.57 billion, and SEC-reported net income was 35.6% of revenue in fiscal 2026 with operating income at 41.2% of revenue in fiscal 2025. | 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. |
| Summary | Alphabet's core engine is a three-sided advertising marketplace — the FY2025 10-K says competing depends on simultaneously attracting users, advertisers, and content providers — anchored by Google Search's ~91% worldwide share and Android's ~69% mobile-OS share (StatCounter, Jun 2026), which give it unmatched reach and first-party data. That scale converts to profit: a 32% consolidated operating margin on $402.8B of FY2025 revenue. | KLA sells the inspection, metrology and yield-management layer a fab must run to reach volume production: the 10-K says accelerating the yield ramp ahead of competitors is critical to chipmakers' profitability, and backlog nearly doubled from $7.86 billion to $12.57 billion in the year to June 30, 2026 'due to strong demand driven by the AI infrastructure buildout'. | 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 | Full-stack AI player: designs its own TPU accelerators, operates Google Cloud (the #3 hyperscaler), and develops the Gemini frontier models — both a supplier of AI compute and a developer of AI products. | Sits beside the process steps rather than in them — it measures and inspects what deposition, etch and lithography produce, and TSMC alone exceeded 10% of revenue in each of the last three fiscal years. | Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale. |
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| Long-horizon vote | +0.42 at weight 0.20 · swarm bullish Editorial prior, not backtested. | +0.42 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.01 at weight 0.20 · swarm neutral Editorial prior, not backtested. |