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.
| AppLovin | Applied Digital | C3.ai | |
|---|---|---|---|
| Moat rating | narrow The filing's own words support a narrow moat. Auctions run 'at vast scale and at microsecond-level speeds,' revenue is earned only 'when our advertisers achieve their return on advertising spend targets,' and FY2025 adjusted EBITDA margin was 82.3%. What limits the width: clients 'are not required to enter into long-term agreements' and 'Substantially all of the Company's contracts with customers are cancelable at any time'; the solutions 'primarily operate in the mobile app ecosystem and specifically mobile gaming'; and distribution runs through 'the Apple App Store, the Google Play Store, and Meta' while AppLovin relies 'in part on IDFA.' | 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. | eroding The FY2026 10-K's own financial statements show revenue down ~36% year over year to $250.3M with GAAP gross profit collapsing from $235.9M to $77.4M, while its Competition section concedes the primary competition is do-it-yourself platforms assembled from hyperscaler and open-source components and that strategic partners may offer substantially similar solutions — differentiation that is visibly failing to defend share or price in a growing enterprise-AI market. |
| Moat type | network effects Network effects, with a caveat. The 10-K states the loop: as more advertisers use the solutions 'we gain access to more data regarding users and user engagement,' 'further strengthening our scaled distribution,' and 'As our distribution grows, we gain better insights for Axon AI.' The mechanism is two-sided matching of advertiser demand to publisher supply, though much of the force comes from data-and-learning scale. It is not switching costs, since contracts are 'cancelable at any time,' nor intangibles or IP, since 'there can be no assurance that we will adequately protect our intellectual property or that it will provide any competitive advantage.' | 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 10-K's 'Strategic Competitive IP Advantage' section grounds the remaining moat in patents — 33 issued U.S. patents including a foundational agentic-AI orchestration patent (US 12,111,859) — and the patented model-driven architecture the filing presents as its sustainable competitive advantage. |
| Leadership | at parity The filing discloses no share of any market, names 'Meta, Google, Amazon, and Unity Software' as competitors, and concedes rivals 'may have greater resources' and 'better technological or data analytics capabilities, or stronger brands or competitive positions in certain product segments.' Its one positional statement is parity language: 'We believe we compete favorably with respect to these factors.' Two unquantified points cut upward: Meta and Google are also clients, and MAX is called 'the preferred in-app bidding solution for many publishers worldwide.' | 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). | behind Despite tracker recognitions the filing cites (a Leader in the 2024 Forrester Wave for AI/ML Platforms; 2024-2025 Constellation ShortLists), FY2026 revenue contracted ~36% while the filing describes the AI software market as expanding past $450B — a franchise losing ground to the DIY and hyperscaler alternatives its own Competition section names. |
| Pricing power | strong Strong, with the mechanism shown. The 10-K states that 'Advertisers are charged dynamically based on their campaign goals , rather than a simple fixed price per impression or per action.' Growth composition is the evidence: FY2025 revenue +70% with 'the volume of installations increased 3% and net revenue per installation increased 72%'; H1 2026 +56% with per-installation revenue +75% against 'a decrease in the volume of installations of 10%.' Adjusted EBITDA margin was 82.3% in FY2025 and 84.2% in H1 2026, though payment is performance-contingent and contracts cancel at will. | 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 GAAP gross margin fell from ~61% in FY2025 to ~31% in FY2026 per the 10-K income statement, and the filing describes its consumption-based pricing model as adopted to make products 'easier and less costly' to adopt — the opposite of pricing leverage. |
| Summary | One reportable segment: an AI-priced auction matching advertiser demand to publisher supply, where 'Revenue from Axon Ads Manager comprises substantially all of our revenue.' The filed flywheel is real - more advertiser spend yields more user-engagement data, 'further strengthening our scaled distribution,' which feeds Axon AI - and it converts: FY2025 revenue $5.48B, up 70%, at an 82.3% adjusted EBITDA margin, carried by price (net revenue per installation +72%) not volume (installations +3%). What the filing does not evidence is a lock. Contracts are cancelable at any time, revenue concentrates in mobile gaming, and the distribution and identifier layers belong to Apple, Google and Meta - two of whom are simultaneously named competitors and disclosed clients. Wide margins with no disclosed structural lock is narrow. | 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. | C3.ai's residual moat is intellectual property: a patented model-driven architecture the FY2026 10-K credits with ~26x faster application development, a 33-patent U.S. portfolio including the first foundational agentic-AI orchestration patent, and prebuilt applications encoding 15 years of industry domain knowledge. The same filing concedes its primary competition is do-it-yourself platforms built from hyperscaler and open-source components, and FY2026 results — revenue down ~36% to $250M with GAAP gross margin roughly halved to ~31% — show that IP has not defended pricing or share. |
| Chain position | Demand-side AI ad platform: it monetizes third-party mobile-game publishers' inventory and sells outcomes to advertisers, so it sits downstream of Apple/Google app distribution and Apple's IDFA identifier layer and upstream of publisher monetization. Meta and Google are simultaneously named competitors and disclosed clients. Single reportable segment after the June 2025 Apps divestiture. | Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers. | Application-layer pure play: sells prebuilt enterprise-AI applications and an agentic platform to industrial and government end users, downstream of the hyperscaler clouds and LLM providers it deploys on. |
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| Long-horizon vote | +0.11 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.20 at weight 0.20 · swarm neutral Editorial prior, not backtested. | -0.38 at weight 0.20 · swarm bearish Editorial prior, not backtested. |