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.
| IREN | Datadog | |
|---|---|---|
| Moat rating | none The FY2026 10-K (filed 2026-08-27) shows IREN holds an input the industry competes on: it names 'access to secured and energized power' first among what it believes are the principal competitive factors in its industry, and reports 'executed grid connection agreements, letters of agreement or equivalents representing approximately 5GW of total power capacity' in the United States, Canada, Spain and Australia as of June 30, 2026. It does not claim an advantage over rivals in that input. It says 'Certain competitors may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections,' and 'Many of our competitors have greater financial, technical or commercial resources, longer cloud operating histories or larger customer bases, compared to us.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026, and the stored XBRL fundamentals from this 10-K show an FY2026 operating loss of about $1,046.7M on revenue of about $707.0M, so no durable advantage is yet demonstrated. | 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. |
| Moat type | none The FY2026 10-K's asserted advantage is control from owning its data centers, 'including the associated land, grid connections and substations', which it believes allows it 'to benefit from more sustainable cash flows and operational flexibility relative to operators that rely upon third-party colocation services or short-term land leases'. Its only scale language is a belief that its 'procurement scale, deployment experience and direct control over the data center layer' lets it bring new compute into service 'rapidly and at scale', a deployment-speed claim, and it 'generally target[s]' regions with 'low-cost and attractive renewable energy sources', a siting target rather than a demonstrated cost position. It does not claim a cost or scale lead: it says 'Many of our competitors are larger, have longer operating histories and significantly greater resources than we do' and that certain competitors 'may have access to more competitively priced power, a greater access to power and a better capacity to timely secure grid connections.' There is no network effect or lock-in either, since existing contracts have 'terms ranging from month to month up to five years'. No enumerated moat source is grounded. | 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". |
| Leadership | behind The 10-K lists IREN's competitors as hyperscalers (Amazon Web Services, Google Cloud, Microsoft Azure, Oracle Cloud) and specialized AI Cloud Services providers (CoreWeave, Nebius, Crusoe, Lambda, Nscale, SpaceX and others). It says IREN began providing AI Cloud Services in 2024 and cites its 'shorter operating history in AI Cloud Services relative to some competitors', and states 'Some of our competitors have longer operating histories, larger customer bases, more comprehensive IP portfolios and patent protections, more design wins, and greater financial, sales, marketing and distribution resources than we do.' Operating AI Cloud Services capacity was approximately 40MW at June 30, 2026. The filing describes a smaller, later entrant that trails some competitors on operating history, customer base and resources, with its progress so far resting on two anchor contracts (a ~$9.7B five-year Microsoft agreement and a ~$3.4B five-year NVIDIA contract) rather than any claimed category position. | 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. |
| Pricing power | weak The 10-K's risk factors state 'Our competitors' products, services and technologies may be cheaper or provide better functionality or features than ours, which has resulted and may in the future result in lower-than-expected selling prices or demand for our products.' They also say long-term contract pricing 'is generally fixed or agreed at the time of contracting', so if market pricing for comparable capacity rises during a contract's term 'we will not benefit from those increases with respect to capacity already committed under our existing long-term contracts', and that if customers suffer a downturn or discontinue its services it 'may be compelled to offer more flexible terms, lower our prices or risk losing a significant customer.' The stored XBRL fundamentals from this 10-K show FY2026 revenue of about $707.0M against an operating loss of about $1,046.7M, so there is no margin record yet that evidences pricing power. | 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. |
| Summary | Per its FY2026 10-K, IREN is a vertically integrated AI Cloud Services platform that owns the data center, compute and software layers, underpinned by executed grid connection agreements, letters of agreement or equivalents representing ~5GW and a further multi-GW development pipeline. Its commercial record is concentrated: a five-year Microsoft agreement (~$9.7B total contract value, Horizon 1 delivered and accepted in August 2026, Horizons 2-4 targeted for delivery in phases in calendar Q4 2026) and a five-year ~$3.4B NVIDIA cloud contract together make up a substantial majority of contracted revenue. It holds NVIDIA Preferred Partner and Exemplar Cloud status (HGX B300 and GB300 NVL72) and a strategic partnership intended to support the deployment over time of up to 5GW of NVIDIA DSX-aligned infrastructure, which the filing cites among arrangements that are non-binding or subject to conditions, with no assurance as to the extent of deployments. Against that, the filing names hyperscaler and specialized competitors (AWS, Google Cloud, Azure, Oracle, CoreWeave, Nebius, Crusoe, Lambda, Nscale, SpaceX), many of which it says have greater resources, customers that can use or develop their own solutions, and possible delays to Texas energization from changes to ERCOT's Batch Zero procedures, so the power position is not a demonstrated advantage over rivals and its value depends on execution. | 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. |
| Chain position | Downstream AI-cloud operator: owns grid-connected data centers and deploys NVIDIA/AMD GPU systems it rents to hyperscalers, frontier labs, AI developers and enterprises (anchor customers Microsoft and NVIDIA). | 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. |
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| Long-horizon vote | -0.20 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |