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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 Nebius Group×Palo Alto Networks×Datadog× maximum of 3 — remove one to swap
Nebius Group NBIS ai moat: latest change 2026-04-30 Palo Alto Networks PANW ai moat: latest change 2025-08-29 Datadog DDOG ai moat: latest change 2026-02-18
Moat rating 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.

source: sec.gov

narrow

Real but bounded. The FY2025 10-K's own Competition section calls the enterprise security industry "intensely competitive" and names four categories of rival — platform incumbents (Cisco, Microsoft, Alphabet), independent security vendors (Check Point, Fortinet, CrowdStrike, Zscaler, Wiz), point-product startups, and the public cloud vendors — while conceding that "some of our competitors may have substantially greater financial, technical, and other resources, greater name recognition, larger sales and marketing budgets, broader distribution, more diversified product lines, and larger and more mature intellectual property portfolios." That record supports a defensible position, not an unassailable one: narrow, not wide.

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

Moat type 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.

source: sec.gov

switching costs

The 10-K describes an installed estate standardised on one operating system — "All of our hardware and software firewalls incorporate the PAN-OS operating system and include the same rich set of features, ensuring consistent operation across our entire product line" — across hardware, containerised CN-Series and virtual VM-Series form factors, centrally administered through Panorama and Strata Cloud Manager. That estate is monetised as recurring contract: subscription and support was 80.5% of total revenue in fiscal 2025 (80.0% in fiscal 2024, 77.1% in fiscal 2023), on terms "typically one to five years." The company's own risk factors describe the friction from the other side — customers "may face real or perceived switching costs when switching to our solutions from legacy security vendors" and "have often invested substantial personnel and financial resources to design and operate their networks... [and] may prefer to purchase from their existing suppliers rather than add or switch to a new supplier." As the incumbent in most of those estates, that friction now runs in Palo Alto's favour.

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

Leadership 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.

source: sec.gov

co leader

The 10-K claims parity-plus, not primacy: "We believe we generally compete favorably with our competitors on the basis of these factors as a result of the features and performance of our portfolio, the ease of integration of our security solutions with technological infrastructures, and the relatively low total cost of ownership of our products," and reports that its "products and services have been recognized as leading in 25 categories by third-party industry analysts firms." It qualifies that immediately by conceding that some competitors carry greater resources, name recognition and distribution. Independent analyst placements match a co-leader read rather than a sole-leader one — a Leader in the inaugural 2025 Gartner Magic Quadrant for Hybrid Mesh Firewalls, a Leader for the third consecutive time in the 2025 Magic Quadrant for SASE Platforms, and a Leader in the 2026 Magic Quadrant for Endpoint Protection Platforms for the fourth consecutive year — in categories that name other Leaders too.

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

Pricing power 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.

source: sec.gov

moderate

Moderate, with the evidence pointing both ways in the same filing. Gross margin computed from the three years of income statements inside this FY2025 10-K runs 72.3% (fiscal 2023), 74.3% (fiscal 2024) and 73.4% in fiscal 2025 on revenue of $9.22 billion — against 68.8% in fiscal 2022 as reported in the prior-year 10-K (accession 0001327567-24-000029, filed September 6, 2024). Over the same span subscription and support rose from 77.1% to 80.5% of revenue: a mix shift toward software that has been margin-accretive, not margin-destructive, which is the direct answer to whether platformisation is simply discounting. Against that, the 10-K's risk factors state plainly that sales prices "may decline for a variety of reasons, including competitive pricing pressures, discounts, a change in our mix... or promotional programs," that the company "anticipate[s] that the sales prices and gross profits for our products could decrease over product life cycles," and that it "has also experienced demands for customer financing and deferred payments." Pricing is defended by bundle economics rather than commanded outright.

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

Summary

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.

A deployed firewall estate is the anchor. Every Palo Alto firewall — appliance, VM-Series, CN-Series, Cloud NGFW — runs the same PAN-OS with the same feature set and is managed from one console, so the security policy, the operator skills and the integration work are all specific to the vendor, and 80.5% of fiscal 2025 revenue is the recurring subscription and support contract sitting on top of it (10-K, Business and Risk Factors). Platformisation is the attempt to convert that anchor into wallet share: the 10-K states the strategy as helping customers "simplify their security architectures through consolidating disparate point products" by packaging offerings "into a tightly integrated architecture," and the acquisitions are consistent with it — IBM's QRadar assets in August 2024 "to help accelerate the growth of our Cortex business," Protect AI in July 2025, and the CyberArk agreement signed in July 2025. The evidence that consolidation is real rather than a discount: remaining performance obligation grew 36% year over year to $18.4 billion against 31% revenue growth in the quarter ended April 30, 2026 (Palo Alto Networks FQ3 2026 results release, June 2, 2026) — contracted future obligation compounding faster than recognised revenue, which is the opposite of what buying revenue with price would produce. The counterweight is disclosed in the same filings: the 10-K warns sales prices "may decline for a variety of reasons, including competitive pricing pressures, discounts," anticipates that "sales prices and gross profits for our products could decrease over product life cycles," and reports "demands for customer financing and deferred payments." Against CrowdStrike in security operations and Zscaler in SASE, Palo Alto is competing across the whole surface rather than defending a monopoly on any one of them — hence a narrow moat, not a wide one.

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

Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale.

A security-software consumer of the AI stack rather than a supplier to it — it buys compute to run Precision AI and now sells protection for the stack itself through Prisma AIRS (AI model scanning, posture management, red teaming, runtime and AI-agent security). Distribution is two-tier and concentrated: 44.2% of fiscal 2025 revenue came through three distributors and more than 8,500 channel partners, while no single end-customer exceeded 10% of revenue in fiscal 2025, 2024 or 2023.

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.

Products (share / barrier)
  • Nebius AI cloud (GPU compute + managed AI/ML platform) Challenger · Moderate source: sec.gov
  • Toloka / Avride / TripleTen (non-cloud segments) Unknown · Low source: sec.gov
Long-horizon vote -0.01 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →