Skip to content

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 Amkor Technology×GitLab×Datadog× maximum of 3 — remove one to swap
Amkor Technology AMKR ai moat: latest change 2026-02-20 GitLab GTLB ai moat: latest change 2026-08-05 Datadog DDOG ai moat: latest change 2026-02-18
Moat rating narrow

The FY2025 10-K describes a real but bounded edge. On the plus side, Amkor says "Our scale and geographic diversity allow us to qualify production at multiple sites, optimize asset utilization and absorb large orders that require quick turnaround." It also says "Amkor has built long-standing relationships with most of the world's leading semiconductor companies over the last five decades." And it says that "in line with industry practice, customers usually require us to pass a lengthy and rigorous qualification process that may take several months". It falls short of wide because the same filing calls the market "highly competitive", names ASE Technology, JCET Group and Powertech Technology as rivals, and says Amkor faces Asian providers "including companies with significantly greater processing capacity, financial resources". It also says foundries "substantially larger than us" have expanded into packaging and test, and that IDMs and foundries "may decide to shift some or all of their outsourced packaging and test services to internally sourced capacity". Returns are thin: MD&A gross margin was 14.0% in 2025, 14.8% in 2024 and 14.5% in 2023, with a 7.0% operating margin in 2025.

source: sec.gov

narrow

The FY2026 10-K (year ended 2026-01-31) shows real expansion inside the installed base: 118% Dollar-Based Net Retention, Base Customers up to 10,682 from 9,893, customers above $100,000 of ARR up to 1,456 from 1,229, and $1.0 million ARR customers "to 155 from 123, an increase of 26%". But the filing concedes "limited barriers to entry" and names "Microsoft Corporation, which owns GitHub" as principal competitor. Retention decelerates (130% FY2024, 123% FY2025, 118% FY2026), and since DBNR is reported "on a threshold basis of 130%," the FY2024 figure is a cap and the slide is steeper than it looks. Narrow, not wide: expansion must be re-won against a bundled hyperscaler.

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

Part of the 10-K's cost/scale case applies to the whole industry, not to Amkor alone. It says packaging and test service providers "can typically use their assets to support a broad range of customers and multiple end markets, potentially generating more efficient use of their production assets and a more cost-effective solution", in contrast to IDMs running their own lines. The Amkor-specific support is its footprint, which it calls "a key differentiator", and its purchasing scale: "By leveraging our purchasing power and operational expertise, we look to secure favorable pricing and supply agreements for materials and equipment, further enhancing our competitive position." It adds: "We also negotiate worldwide pricing agreements with our major suppliers to take advantage of the scale of our operations." Against other OSATs the scale edge is limited, because Item 1A concedes Asian rivals "including companies with significantly greater processing capacity, financial resources". Multi-month customer qualification and long customer relationships add a secondary switching-cost element. IP is not the source: "Although our patents are an important element of our intellectual property strategy, we are not materially dependent on any one patent or any one technology."

source: sec.gov

switching costs

Stickiness comes from platform embedding, not IP. The 10-K rests differentiation on "our single platform with a unified data model," on "Consolidation of multiple tools into a single platform," and on deployment inside the customer's own perimeter for regulated buyers. Replacement means re-integrating a toolchain and re-certifying compliance. IP is the wrong label: only "16 issued patents and 25 pending patent applications," plus open-source licenses granting "broad permissions to use, copy, modify, and redistribute." The no-lock-in claim is the filing's own characterisation, footnoted to a Forrester study "commissioned by GitLab."

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 co leader

The FY2025 10-K opens: "Amkor is the world's largest U.S. headquartered outsourced semiconductor assembly and test service provider (“OSAT”) and is a global leader in outsourced semiconductor packaging and test services." It claims to be a global leader, not the leader, and its one superlative is limited to U.S.-headquartered providers. It names ASE Technology, JCET Group and Powertech Technology as rivals. It concedes Asian competitors "including companies with significantly greater processing capacity, financial resources". About the key competitive factors it lists, it says only "We believe we are competitive in these areas."

source: sec.gov

fast follower

The 10-K positions GitLab against a leader rather than as one: "Our principal competitor is Microsoft Corporation, which owns GitHub." Competition reads from the challenger side, differentiating "from GitHub through flexible deployment options that work within enterprise security and compliance requirements, LLM neutrality with self-hosted gateway support" and an open core model. On AI it follows: Duo Agent Platform went "Generally available in January 2026," the last month of the fiscal year. What keeps it a follower rather than behind is cadence, "a new version of our software every month for 172 months in a row," plus a regulated-deployment franchise a SaaS-first rival does not cover.

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

Item 1A of the FY2025 10-K says "Prices for packaging and test services have generally declined over time, and sometimes prices can change significantly in relatively short periods of time." It also says "We expect downward pressure on average selling prices for our packaging and test services to continue in the future, and this pressure may intensify during downturns in business." MD&A gross margin was 14.0% in 2025 against 14.8% in 2024 and 14.5% in 2023. The notes say the longer test-equipment depreciation life "reduced depreciation expense by approximately $59 million in 2024". Materials alone were 55.2% of 2025 net sales. The customer base is concentrated: the ten largest customers were 72% of 2025 net sales, with Apple at 29.8% and Qualcomm at 11.1%, and the filing flags "a reduction in orders or decrease in price from a significant customer" as a risk.

source: sec.gov

moderate

FY2026 gross margin was 87% against 89%, with cost of revenue up $35.6 million "primarily due to an increase of $18.4 million in third party hosting costs for SaaS and cloud usage," and management expects SaaS and Duo mix to bring costs that "may adversely impact our gross margins." Strain is explicit: GitLab "may be required to reduce our prices," competitors "may offer their products and services at a lower price or for free," and it "implemented user limits on our free SaaS product." Power retained: Premium lists at $29 per user/month billed annually, and seats bundle $12 and $24 of GitLab Credits. But "A majority of our subscriptions are on a one-year period."

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

Amkor is a back-end contractor; the 10-K says "We provide turnkey packaging and test services including wafer bump, wafer probe, wafer back-grind, package design, packaging, burn-in, system level and final test and drop shipment services." It also says "Our customers include most of the world's largest semiconductor companies." Advanced Products (flip chip, memory and wafer-level packages) were 82.8% of its $6,708M in 2025 net sales. The durable part of its position is scale and a multi-country footprint, which the filing calls "a key differentiator", backed by multi-month customer qualification and customer relationships it dates back "over the last five decades". On Arizona, the filing says: "Construction began in the second half of 2025, and we believe that this investment will strengthen our ability to serve customers seeking to regionalize their supply chains and will enhance our participation in U.S. semiconductor initiatives." Price caps the moat. The 10-K says "We expect downward pressure on average selling prices for our packaging and test services to continue in the future, and this pressure may intensify during downturns in business." It also says foundries "substantially larger than us" have expanded their operations to include packaging and test services.

GitLab sells a single-platform DevSecOps toolchain defended by workflow lock-in rather than intellectual property: a unified data model plus deployment flexibility, including single-tenant "Dedicated for Government with FedRAMP compliance," makes it hard to remove where data residency is contractual. The installed base expands: 118% Dollar-Based Net Retention, 10,682 Base Customers, 1,456 above $100,000 of ARR, 155 above $1.0 million (up 26%), over 70% of ARR from public sector and enterprise. The filing supplies the counterweight: "limited barriers to entry," Microsoft/GitHub as principal competitor, 16 issued patents. Retention (130 to 123 to 118, the 130 a cap), gross margin (89% to 87%) and a January 2026 AI launch point to compression at the commodity end. No source measures market share, so every share band is "unknown".

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

Back-end packaging and test step between wafer fabs and chip vendors. The 10-K says "the wafers that we receive from our customers are generally consigned to us", and Amkor serves IDMs, fabless companies, OEMs and contract foundries that outsource packaging and test.

GitLab sits at the software-tooling layer, not compute or models. It consumes third-party LLM capacity — marketing "LLM neutrality and support for self-hosted AI gateways, including air-gapped environments" — so it captures no model-layer economics and bears inference as COGS, visible in the $18.4 million rise in hosting costs. Its distinctive position is the regulated perimeter.

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)
  • 2.5D and high-density fan-out (HDFO) packaging for HPC/AI Unknown · Moderate source: sec.gov
  • Advanced system-in-package (SiP) modules Unknown · Moderate source: sec.gov
  • Mainstream wirebond, leadframe, power and MEMS packaging Unknown · Low source: sec.gov
  • Outsourced packaging and test (OSAT) services Top 3 · Moderate source: trendforce.com
  • Test services (wafer, package, burn-in and system-level test) Unknown · Moderate source: sec.gov
  • Enterprise Agile Planning add-on Unknown · Low source: sec.gov
  • GitLab Dedicated (including Dedicated for Government) Unknown · Deep source: sec.gov
  • GitLab DevSecOps Platform (Free, Premium, and Ultimate tiers) Unknown · Moderate source: sec.gov
  • GitLab Duo Agent Platform (with GitLab Credits) Unknown · Low source: about.gitlab.com
  • Self-Managed GitLab (on-premises and hybrid cloud deployment) Unknown · Deep source: sec.gov
Long-horizon vote +0.05 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →

+0.06 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →

+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

see exactly how it voted →