VOL. XCIV, NO. 247

MOAT TYPE GLOSSARY

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Tuesday, December 30, 2025

Moat Types Glossary

Definitions, advantages, disadvantages, and examples from the moat database.

Each moat type below links to a focused explainer page. We map every type to real company segments so you can see how the advantage shows up in practice.

Demand moats

Demand

Brand Trust

A demand-side moat where customers choose a product mainly because they trust the brand, especially when quality is hard to evaluate upfront or the cost of failure is high (money, safety, reputation, downtime).

100 companies · 192 segmentsView

Demand

Custom / One-off

A catch-all label for segment-specific moats that do not fit the standard taxonomy. Use this only when the advantage is real but uniquely shaped (one-off contracts, strange market structure, founder-driven distribution, unusual data rights, proprietary workflow, etc.).

13 companies · 14 segmentsView

Demand

Data Workflow Lockin

A demand-side moat where a product becomes the system of record or the daily workflow layer. Integrations, user habits, and accumulated data create 'gravity' that makes switching painful, risky, and time-consuming.

63 companies · 92 segmentsView

Demand

Design In Qualification

A demand-side moat where a supplier is 'designed in' to a customer's bill of materials (BOM), spec, or process. Switching is slow and risky because it requires engineering changes, revalidation, and often regulatory or customer re-qualification.

55 companies · 95 segmentsView

Demand

Format Lock In

A demand-side moat where a proprietary file format, protocol, or workflow representation becomes embedded across teams, tools, and partners. Switching means breaking compatibility, migrating historical assets, and rebuilding the toolchain, which creates strong friction and long retention.

3 companies · 3 segmentsView

Demand

Habit Default

A demand-side moat where a product becomes the default choice through repeated use. The value is not mainly contracts or integrations, but routine: customers keep using it because it is the familiar, low-friction option embedded in daily behavior.

16 companies · 18 segmentsView

Demand

Installed Base Consumables

A demand-side moat where a large installed base of equipment or core products drives recurring revenue from consumables, spare parts, service, maintenance, and upgrades. Customers stick because replacing the base asset is expensive and downtime is costly.

42 companies · 57 segmentsView

Demand

Long Term Contracts

A demand-side moat where multi-year contracts, minimum commitments, or take-or-pay agreements reduce churn and delay competitor entry. The lock-in is time-based: customers may want to switch, but contract terms make it uneconomic or operationally difficult until renewal windows.

35 companies · 44 segmentsView

Demand

Procurement Inertia

A demand-side moat where approved vendor lists, internal controls, and procurement bureaucracy protect incumbents. Switching vendors requires security reviews, legal redlines, budget approvals, onboarding workflows, and stakeholder alignment, which slows adoption of challengers and increases renewal stickiness.

15 companies · 17 segmentsView

Demand

Reputation Reviews

A demand-side moat where accumulated reputation (reviews, ratings, history, verified outcomes) reduces buyer risk and becomes a barrier to switching. It is especially powerful in services and marketplaces where trust is the product and quality is hard to judge upfront.

9 companies · 9 segmentsView

Demand

Suite Bundling

A demand-side moat where a vendor bundles multiple products into a suite, reducing customers’ willingness to buy point solutions. The suite wins through procurement simplicity, integrated workflows, and attractive total cost, even if each individual module is not best-in-class.

46 companies · 62 segmentsView

Demand

Switching Costs General

A demand-side moat where customers face meaningful pain (time, money, risk, disruption) to switch providers. Use this generic label when switching costs are real but do not fit more specific categories (data/workflow lock-in, design-in qualification, format lock-in, procurement inertia, etc.).

42 companies · 50 segmentsView

Demand

Training Org Change Costs

A demand-side moat where switching requires retraining people, changing processes, and navigating internal politics. Even if data can be migrated and contracts can be replaced, the organization’s human and process inertia makes change slow, risky, and expensive.

15 companies · 17 segmentsView

Supply moats

Supply

Capacity Moat

A supply-side moat where scarce, well-sited, or highly specialized capacity is hard to add quickly. The incumbent earns advantages because demand cannot be met without them, especially in peak periods or constrained geographies.

18 companies · 21 segmentsView

Supply

Capex Knowhow Scale

A supply-side moat built on three layers at once: (1) very high capital requirements, (2) tacit process know-how that is hard to write down, and (3) scale that drives learning curves and reliability. Customers also impose long qualification cycles, making switching slow and risky.

67 companies · 79 segmentsView

Supply

Distribution Control

A supply-side moat where a company has privileged access to, ownership of, or control over key distribution channels that gate demand. Competitors may have a good product, but cannot reach customers efficiently (or at all) without the same channel access.

43 companies · 93 segmentsView

Supply

Geographic Natural

A supply-side moat where geography and high fixed costs create a natural monopoly. Duplication is uneconomic because demand in a territory is best served by one network or asset base (pipes, wires, rails, local collection routes, terminals).

1 companies · 1 segmentsView

Supply

Keystone Component

A supply-side moat where a company controls a bottleneck component, tool, or subsystem that upstream/downstream industries must use to achieve required performance, yield, safety, or cost. Because few suppliers can meet specs, the keystone provider captures outsized value and can ration capacity in tight markets.

3 companies · 3 segmentsView

Supply

Learning Curve Yield

A supply-side moat where cumulative production experience compounds into higher yields, better quality, and faster cycle times. The leader’s unit costs fall and reliability rises with every run, creating a widening gap versus lower-volume or newer competitors.

21 companies · 26 segmentsView

Supply

Operational Excellence

A supply-side moat where superior execution consistently delivers better uptime, throughput, cost control, safety, and reliability than peers. It is less about one breakthrough and more about a system: processes, culture, tooling, and continuous improvement that competitors struggle to replicate.

40 companies · 55 segmentsView

Supply

Physical Network Density

A supply-side moat where a dense physical footprint (routes, nodes, facilities, service points) creates a compounding cost and coverage advantage. Higher density improves utilization, reduces travel and handling costs, and increases service quality, making it hard for a sparse entrant to compete profitably.

12 companies · 19 segmentsView

Supply

Preferential Input Access

A supply-side moat where a company has priority or advantaged access to scarce inputs (materials, components, capacity allocations, sites, talent, or infrastructure). When inputs are constrained, the advantaged player can keep producing, maintain quality, and often earn scarcity rents while competitors are rationed.

5 companies · 5 segmentsView

Supply

Scale Economies Unit Cost

A supply-side moat where higher volume lowers unit costs through better utilization of fixed assets, purchasing leverage, and spreading overhead. The leader can underprice competitors or earn structurally higher margins at the same price.

31 companies · 39 segmentsView

Supply

Scope Economies

A supply-side moat where shared infrastructure, fixed costs, and capabilities can be reused across many products or services. The operator can add new SKUs/features at low marginal cost, bundle offerings, and outcompete specialists on total cost-to-serve and breadth.

30 companies · 33 segmentsView

Supply

Service Field Network

A supply-side moat where a dense, reliable field service and spare-parts network is hard to replicate. Fast response times, high fix rates, and guaranteed uptime drive customer retention and win rates, especially when downtime is expensive.

56 companies · 90 segmentsView

Supply

Supply Chain Control

A supply-side moat where a company vertically integrates or exerts strong control over critical suppliers and manufacturing steps. This reduces input risk, improves quality consistency, lowers total cost, and increases resilience during shortages, making it harder for rivals to match performance and reliability.

10 companies · 10 segmentsView

Network moats

Network

Clearing Settlement

A network moat where a clearing or settlement rail becomes the default plumbing for transactions. Once embedded in participants, custodians, and regulators, it is hard to displace because trust, integration, and netting benefits compound with scale.

3 companies · 4 segmentsView

Network

Data Network Effects

A network moat where increased usage generates more or better data, which improves models and outcomes, making the product more valuable and attracting even more usage. The flywheel works only if data improves the core value delivered, not just vanity metrics.

16 companies · 18 segmentsView

Network

De Facto Standard

A network moat where a product, protocol, or interface becomes the default standard through widespread adoption. Developers, partners, and customers build around it because it is the safest coordination point, which reinforces its dominance.

9 companies · 11 segmentsView

Network

Default OS Gateway

A network moat where an operating system, platform, or default setting becomes the primary gateway users and developers must pass through. Being the default creates a chokepoint over distribution, discovery, and monetization (install flows, permissions, payments, search, identity, notifications).

3 companies · 3 segmentsView

Network

Direct Network Effects

A network moat where each additional user directly increases the value of the product to other users, without an intermediate data/model layer. The classic pattern is communication, collaboration, or social connection: more participants means more reachable peers and more useful interactions.

2 companies · 2 segmentsView

Network

Ecosystem Complements

A network moat where third-party complements (plugins, apps, integrations, agencies, consultants, training, templates, marketplaces) compound product value. The platform becomes more useful because others invest around it, which attracts more users, which attracts even more complementors.

42 companies · 54 segmentsView

Network

Interoperability Hub

A network moat where a product becomes the integration hub connecting many systems. Its value grows with 'surface area' (number and quality of connectors, APIs, standards supported, and partner relationships). Competitors must match a large ecosystem footprint to displace it, which is slow and expensive.

6 companies · 6 segmentsView

Network

Standards Registry

A network moat where a canonical registry, identifier system, or reference dataset becomes the shared source of truth. Everyone references it to reconcile records, transact, report, or integrate systems. Because coordination value rises with adoption, the registry becomes hard to displace once embedded across an ecosystem.

2 companies · 3 segmentsView

Network

Two Sided Network

A network moat where a platform connects two distinct participant groups (buyers/sellers, riders/drivers, hosts/guests, developers/users). More participants on one side increases value for the other side, creating a cross-side flywheel that can lead to winner-take-most outcomes in a market.

31 companies · 46 segmentsView

Financial moats

Financial

Benchmark Pricing Power

Pricing power that comes from being the industry reference point (benchmark) or a must-have financial input. Customers and counterparties adopt it as the default standard, so fees can rise with limited churn.

9 companies · 16 segmentsView

Financial

Cost Of Capital Advantage

A financial moat where a company can fund itself materially cheaper than competitors (debt, equity, deposits, float, prepayments). This enables it to outspend, outprice, or outlast rivals, and to win assets, customers, or market share when others are constrained.

3 companies · 3 segmentsView

Financial

Float Prepayment

A financial moat where customers pay before the company delivers (prepayment) or the company temporarily holds funds that belong to others (float). If managed safely, this provides low-cost funding for operations and growth and can generate investment income.

8 companies · 8 segmentsView

Financial

Negative Working Capital

A financial moat where the business gets paid by customers before it pays suppliers or incurs the bulk of delivery costs. Growth generates cash instead of consuming it, allowing the company to self-fund expansion and reduce dependence on external capital.

2 companies · 2 segmentsView

Financial

Underwriting Risk Pooling

A financial moat where superior risk selection, pricing, and portfolio construction compounds over time. Better underwriting creates better loss ratios and capital efficiency, which enables reinvestment, growth, and often cheaper capital, reinforcing the advantage.

1 companies · 1 segmentsView

Want the full wide moat stocks list?

Browse the full ranking of wide moat stocks, updated with moat scores and segment context.

View the moat stocks list

Curation & Accuracy

This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).

Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.