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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 JPMorgan Chase×Datadog×Alibaba Group× maximum of 3 — remove one to swap
JPMorgan Chase JPM ai moat: latest change 2026-02-13 Datadog DDOG ai moat: latest change 2026-02-18 Alibaba Group BABA ai moat: latest change 2026-05-20
Moat rating wide

The 2025 Form 10-K opens with a balance sheet and a licensing perimeter that a new entrant cannot assemble: $4.4 trillion in assets and $362.4 billion in stockholders' equity at December 31, 2025, a principal bank subsidiary (JPMorgan Chase Bank, N.A.) with branches in 48 states and Washington, D.C., 318,512 employees across 66 countries, and consolidated supervision as a bank and financial holding company by the Federal Reserve, layered with the OCC, FDIC, SEC, FINRA, CFTC, U.K. PRA/FCA and the ECB over its principal subsidiaries. Item 1 also notes the Bank Holding Company Act restricts holding companies to banking and closely-related activities, so the charter itself is scarce. Rated wide rather than higher because Item 1's own Competition paragraph calls the environments 'highly competitive' and names e-commerce, digital-asset and financial-technology entrants that 'disintermediate traditional banking products'.

source: sec.gov

narrow

The FY2025 10-K grounds real stickiness — a trailing-12-month dollar-based net retention rate of "about 120%" as of December 31, 2025 and "approximately 84% of our customers were using two or more products" out of approximately 32,700 customers — but the same filing caps it. It names IBM, Microsoft and SolarWinds (on-premise infrastructure monitoring), Cisco, New Relic and Dynatrace (APM), Cisco and Elastic (log management) and "native solutions from cloud providers such as Amazon Web Services, or AWS, Microsoft Azure, and Google Cloud Platform" as competitors, plus "home-grown and open-source technologies", and concedes "many of our competitors have greater financial, technical and other resources, greater brand recognition, larger sales forces and marketing budgets". It further discloses an AI-native cohort "which cohort includes our largest customer and represented approximately seven percentage points of our year-over-year revenue growth for the quarter ended December 31, 2025" whose members "have rapidly increased their usage of our product and then optimized or may in the future optimize their usage". Sticky but bounded: narrow, not wide.

source: sec.gov

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.

source: sec.gov

Moat type cost scale

The filing's durable advantage is scale rather than a proprietary technology or a stated network effect: $4.4 trillion of assets and $362.4 billion of equity, 318,512 employees, a 48-state branch footprint and a GSIB capital and liquidity regime administered under the Basel III framework. Item 1A repeatedly frames technology as a required expenditure - 'New technologies have required and could require JPMorganChase to increase expenditures to modify its products' and possible 'significant investments in technology' for quantum-resistant encryption - which is a fixed cost the firm spreads over a base few competitors match. The filing asserts no network effect and no switching-cost lock-in.

source: sec.gov

switching costs

The 10-K locates the durable hold in platform integration rather than protected IP. A single agent collects "metrics, traces, logs, and other data"; under "One Data Model" every ingested datum is "consistently tagged with metadata regardless of its type", so different data types can be "queried together, correlated, alerted on, and visualized in a common user interface"; more than 1,000 out-of-the-box integrations bind it to the customer's stack; and the attach ladder deepens (approximately 84% of customers on two or more products, 55% on four or more, 33% on six or more and 18% on eight or more as of December 31, 2025). Displacing Datadog means re-instrumenting an estate the filing describes as "frequently deployed across a customer's entire infrastructure, making it ubiquitous".

source: sec.gov

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.

source: sec.gov

Leadership co leader

Item 1 claims the firm is 'a leader' in five distinct businesses at once, and 'a leading financial services firm based in the United States' - but it claims to be 'a leader', never the leader, and names no rank or peer comparison anywhere in Item 1 or Item 1A. Scale disclosed in the filing (assets, equity, 318,512 employees, 66 countries, CCB 144,196 / CIB 94,563 / AWM 29,722 headcount) puts it in the front rank; the document itself supports a co-leader reading and not a sole-leader one.

source: sec.gov

co leader

The 10-K claims only that "We believe that we compete favorably with respect to the factors listed above" — never category leadership — and names a distinct credible rival set in each category it serves, while conceding many of those rivals have greater resources and brand recognition. It does claim one first: being "the first to combine the 'three pillars of observability' - metrics, traces, and logs - into a single end-to-end platform" with log management in 2018. That reads as the leading independent among several credible rivals, not a clear leader.

source: sec.gov

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.

source: sec.gov

Pricing power moderate

Item 1 states the businesses 'generally compete on the basis of the quality and variety of the Firm's products and services, transaction execution, innovation, reputation and price' - price is one of several axes, not absent. Item 1A is explicit that 'Actions by competitors could put pressure on the pricing for JPMorganChase's products and services or could cause it to lose market share, particularly with respect to investment products and traditional banking products,' and separately that higher rates can cause 'the loss of deposits, including where customers transition to higher-yielding products.' The filing states no margin trend supporting stronger pricing power.

source: sec.gov

moderate

Expansion is real but volume-driven rather than price-driven. The 10-K attributes the increase in trailing-12-month dollar-based net retention to about 120% (from "high-110%'s" a year earlier) to "increased usage growth from existing customers", and describes self-service expansion by "adding hosts or volumes of data monitored". The same filing warns that if customers "reduce their usage, fail to renew their subscriptions or renew on different terms", then "our revenue and dollar-based net retention may decline" — a usage-metered model hands the customer a dial that seat-based pricing does not.

source: sec.gov

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.

source: sec.gov

Summary

Item 1 describes JPMorganChase as 'a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing and asset management' operating off a $4.4 trillion balance sheet with $362.4 billion of equity as of December 31, 2025. The protection is the combination of that scale with a regulatory perimeter - Federal Reserve consolidated supervision, a national bank charter under the OCC, and separately licensed broker-dealer and credit-institution subsidiaries in the U.K. and Germany - that bounds who may offer the same product set. The filing is candid that the perimeter is leaking at the edges: it names non-depository and internet-only entrants offering lending, payments processing, cryptocurrency and stablecoins, tokenized securities and algorithmic investment advice, and warns of 'disruption to payments processing... from the use of new technologies that may not require intermediation'.

Datadog's advantage is consolidation, not exclusivity. Per the FY2025 10-K it runs a modular platform of "over 20 products" fed by one agent and one tagged data model, deployed across a customer's whole estate with more than 1,000 integrations — so each additional product adopted makes the estate costlier to unwind, which shows up as roughly 120% dollar-based net retention and a multi-product attach ladder that thickened at every rung during 2025. What holds the rating at narrow rather than wide is that the filing itself names hyperscaler-native monitoring and open-source tooling as direct substitutes in the same categories, and flags an AI-native cohort including its largest customer that can optimize usage down as quickly as it ramped up.

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

An AI adopter and a possible AI casualty, not an AI supplier: the filing books no AI revenue line and mentions no data-center or model exposure, and instead carries a dedicated risk factor on 'the development of advanced technologies such as AI' warning of 'competitive disadvantage if competitors are able to deploy AI more quickly or effectively' and of 'replacement or disintermediation of direct customer relationships if AI agents autonomously manage or intermediate financial decisions' - so its AI exposure as filed is defensive and operational rather than a supply-chain position.

A software layer above the cloud rather than a supplier into it: the 10-K describes the platform as "cloud agnostic", deployable across "public cloud, private cloud, on-premise, multi-cloud, and hybrid environments", and monetizes the AI build-out through LLM Observability, which traces LLM chains and correlates them with APM.

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.

Products (share / barrier)
Long-horizon vote +0.30 at weight 0.20 · swarm bullish

Editorial prior, not backtested.

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.38 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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