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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.

comparing CrowdStrike×Applied Digital×MiniMax× maximum of 3 — remove one to swap
CrowdStrike CRWD ai moat: latest change 2026-03-05 Applied Digital APLD ai moat: latest change 2026-07-29 MiniMax 0100.HK ai moat: latest change 2026-08-26
Moat rating narrow

Narrow rather than wide because the FY2026 10-K argues both ways and its own risk factors are the harder side: it describes a self-reinforcing data advantage and says "we do not believe any of our competitors currently have a true platform offering equivalent to the Falcon platform", but the same filing calls the market for security and IT operations solutions "intensely competitive, fragmented", warns that "Competitive pricing pressure may reduce our gross profits", and still carries the July 19 Incident as having "had, and is expected to continue to have, an adverse effect on our business, sales, customer and partner relations, reputation" more than two years after it occurred.

source: sec.gov

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.

source: sec.gov

none

MiniMax is growing fast at a heavy loss, with nothing yet shown to protect its position. Its interim results announcement for the six months to 2026-06-30 reports revenue of US$116.6 million, up 283.1%, against a loss for the period of US$358.0 million and research and development expenses of US$296.9 million, with gross profit margin at 17.9%. Its prospectus (https://www1.hkexnews.hk/listedco/listconews/sehk/2025/1231/2025123100025.pdf) warns that competition may make it "more difficult for us to differentiate our products, maintain pricing power, and achieve sustainable profitability". Independent trackers show its standing has to be won again with each release. The prospectus says MiniMax-M2 became "a top three foundation model worldwide by daily token usage on OpenRouter" within the first week of its October 2025 launch, yet OpenRouter's rankings (https://openrouter.ai/rankings, as read 2026-10-10, usage data through Oct 9, 2026) list no MiniMax model among the top 20 by weekly usage. Artificial Analysis's leaderboard (https://artificialanalysis.ai/leaderboards/models, read 2026-10-10) scores MiniMax-M3 at 29 on its Intelligence Index, against 45 for Z AI's GLM-5.3 (max) and 44 for Kimi K3 (max). A loss-making developer whose usage rank resets with each model cycle has no moat yet.

source: www1.hkexnews.hk

Moat type network effects

The 10-K states the mechanism directly: "The more data that is fed into our Falcon platform, the more intelligent the AI Security Cloud becomes, the stronger our ability to anticipate and counter evolving adversary tradecraft, and the more our customers benefit, creating a powerful network effect that increases the overall value we provide."

source: sec.gov

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.

source: sec.gov

none

None of the usual sources of a moat is established in the record. Much of the technology is published: the prospectus says MiniMax makes "certain of our models and products available on an open-source basis", which allows "third parties, including competitors, to access, use, modify, or redistribute them, which could limit our ability to commercialize those technologies or differentiate ourselves in the marketplace", and the interim results say MiniMax H3 was released "with open weights". On Artificial Analysis's video leaderboard (https://artificialanalysis.ai/video/leaderboard/text-to-video, read 2026-10-10), the entry ranked just below MiniMax's own H3 is "MiniMax H3 Max", listed under the creator Fal and marked "Based on MiniMax H3". On the API side, KrASIA's report on IDC data (https://kr-asia.com/how-bytedances-volcano-engine-holds-nearly-half-of-chinas-maas-market, 2026-05-13) notes that "In theory, developers only needed to change a few lines of code to replace the underlying model or switch cloud platforms", though it reports that the market leader, ByteDance's Volcano Engine, held its share in 2025, at 49.5%; it does not name MiniMax. Scale belongs to others: CIC, the industry consultant MiniMax commissioned, ranked it tenth among global foundation model companies by 2024 model-based revenue, "with a market share of 0.3%", and the prospectus concedes that many competitors have "greater access to data, talent, and computing infrastructure".

source: www1.hkexnews.hk

Leadership co leader

Co-leader rather than clear leader because the only claim of platform primacy available is the company's own ("we do not believe any of our competitors currently have a true platform offering equivalent"), while the same 10-K describes a fragmented market and lists seven distinct categories of competitor, from legacy antivirus to network security, cloud security, identity and legacy SIEM vendors.

source: sec.gov

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).

source: sec.gov

behind

Independent rankings put MiniMax behind the leading Chinese labs in language and speech, and near the front only in video. Artificial Analysis's text-to-video leaderboard (https://artificialanalysis.ai/video/leaderboard/text-to-video, read 2026-10-10) shows MiniMax H3 (768p) fourth with an Elo of 1137, against 1156 for Alibaba's Wan 3.0. Its language-model leaderboard (https://artificialanalysis.ai/leaderboards/models, read 2026-10-10) scores MiniMax-M3 at 29 on the Intelligence Index, against 46 for Xiaomi's MiMo-V2.6-Pro, 45 for Z AI's GLM-5.3 (max) and Alibaba's Qwen3.8 Max (0902), 44 for Kimi K3 (max) and 39 for DeepSeek V4.1 Flash (max), and its text-to-speech leaderboard, read the same day, ranks Speech 2.8 HD 19th. OpenRouter's top 20 models by weekly usage, as read 2026-10-10 (usage data through Oct 9, 2026; https://openrouter.ai/rankings), include models from DeepSeek, Z.ai, Xiaomi, Tencent, Moonshot AI and StepFun, but none from MiniMax. The only revenue ranking is commissioned: CIC put MiniMax tenth among foundation model companies globally by 2024 model-based revenue, "with a market share of 0.3%", and fourth among pureplay foundation model companies. One near-front video model does not offset a language model scoring 29 against 44 to 46 for the best Chinese rivals, no top-20 usage, a 19th-ranked speech model and a 0.3% revenue share: MiniMax is behind the leaders, not at parity with them.

source: www1.hkexnews.hk

Pricing power moderate

The 10-K's risk factors state that "Competitive pricing pressure may reduce our gross profits" and that competing successfully may require "aggressive pricing", which is the company's own case against strong pricing power; the offsetting factor it cites is module consolidation on one sensor.

source: sec.gov

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.

source: sec.gov

weak

MiniMax competes on price and its margin is thin. Gross profit margin was 17.9% in the six months to 2026-06-30, up from 12.1%, which the interim results put down to "improving infrastructure efficiency". Its annual results announcement (https://www1.hkexnews.hk/listedco/listconews/sehk/2026/0302/2026030202837.pdf) sells M2.5 on cost, saying that running it "continuously for one hour at an output speed of 100 tokens per second costs only one U.S. dollar". Artificial Analysis's video leaderboard, as read 2026-10-10, lists API pricing of $4.80 per minute for MiniMax H3 (768p), against $12.00 for Wan 3.0 and $34.12 for Dreamina Seedance 2.5. The prospectus says "our models' competitiveness, is directly related to our models' market pricing and demand" and warns that "we may be required to reduce our prices or offer alternative pricing models", and the July 2026 placing announcement says "prices of high-performance computing hardware have continued to rise".

source: www1.hkexnews.hk

Summary

A single lightweight sensor collects enterprise data once and reuses it across 33 cloud modules, and the pooled telemetry trains the models every customer is then defended by — the 10-K calls this crowdsourced, high-fidelity data "cloud-scale AI" and treats it as the fundamental differentiator from competitors.

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.

MiniMax develops models across language, video, speech and music and sells them through its Open Platform and its own consumer apps, including MiniMax Agent, Hailuo AI, Talkie and Xingye; it listed in Hong Kong in January 2026 as a Specialist Technology Company under Chapter 18C of the Listing Rules. Growth has been steep. Per its interim results announcement, revenue in the six months to 2026-06-30 was US$116.6 million, more than its US$79.0 million for all of 2025; Open Platform and other AI-based enterprise services revenue rose 703.1% to US$73.9 million, 63.4% of the total, on API call volumes and "the rapid adoption of our Token Plan"; and 60.8% of revenue came from outside Chinese mainland. Independent trackers show a mixed technical position. On Artificial Analysis's text-to-video leaderboard (read 2026-10-10), MiniMax H3 (768p) ranks fourth with an Elo of 1137, behind Alibaba's Wan 3.0, Utopai X and ByteDance Seed's Dreamina Seedance 2.5. In its text-to-speech leaderboard, read the same day, MiniMax's highest-ranked model, Speech 2.8 HD, is 19th. On its language-model Intelligence Index, also read 2026-10-10, MiniMax-M3 scores 29, behind the latest models from Z AI, Kimi, Alibaba, Xiaomi and DeepSeek, and OpenRouter's top 20 models by weekly usage, as read 2026-10-10 (usage data through Oct 9, 2026), include none from MiniMax. The economics remain heavy: a loss of US$358.0 million in the half, research and development spending of US$296.9 million driven mainly by cloud services for training, and a July 2026 placing of new shares alongside a convertible bond issue, whose announcement says "prices of high-performance computing hardware have continued to rise amid industry-wide supply constraints in 2026". MiniMax is a fast-growing multimodal lab without a moat: its best ranking is in video, where it publishes the weights, and its language models trail Chinese rivals.

Chain position

AI-native security platform — an adopter and reseller of AI rather than a supplier of AI infrastructure.

Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers.

MiniMax is a model layer that rents its compute. The prospectus defines its AI infrastructure as mainly "computing services purchased from third-party cloud service providers, namely computing power, storage and network capacity that we rent from external cloud platforms instead of building and owning all the servers ourselves", and says its "upstream ecosystem includes major cloud service providers and infrastructure vendors". Downstream it sells model access to enterprises and developers through its Open Platform and runs consumer apps; 60.8% of revenue in the first half of 2026 came from outside Chinese mainland.

Products (share / barrier)
  • Blockchain data center hosting (Jamestown / Ellendale) Niche · Low source: sec.gov
  • HPC data center leasing (Polaris Forge / Delta Forge AI factories) Challenger · Moderate source: sec.gov
Long-horizon vote +0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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-0.20 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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-0.20 at weight 0.20 · swarm bullish

Editorial prior, not backtested.

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