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WiseTech Global Limited

WTC · ASX

Market cap (USD)$7.6B
SectorTechnology
IndustrySoftware - Application
CountryAU
Data as of
Moat score
72/ 100

Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.

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Overview

WiseTech Global is a logistics software company whose core business is CargoWise, an enterprise logistics execution platform for freight forwarders, customs brokers and 3PLs. In 1H26, CargoWise represented about 55% of revenue, e2open 37% after five months of contribution, and Non-CargoWise 7%. The primary moat is switching costs driven by deeply embedded workflows and a unified global data model, reinforced by partners, trained practitioners, and low attrition. CargoWise Value Packs add bundling and usage-linked pricing. The e2open acquisition extends WiseTech toward a multi-enterprise supply-chain network, with integration, regulatory remedies, and AI-led restructuring risk as key watch items.

Primary segment

CargoWise

Market structure

Oligopoly

Market share

96% (reported)

HHI:

Coverage

3 segments · 7 tags

Updated 2026-07-01

Segments

CargoWise

Enterprise logistics execution software for freight forwarders, customs brokers and 3PLs (CargoWise platform)

Revenue

55.4%

Structure

Oligopoly

Pricing

strong

Share

96% (reported)

Peers

DSGXKXS.TOMANHORCL+1

Non-CargoWise acquired platforms (legacy)

Legacy logistics software platforms acquired since 2012 that are not part of CargoWise revenue (maintenance + residual services)

Revenue

7.5%

Structure

Competitive

Pricing

weak

Share

Peers

DSGXORCLSAP

e2open (multi-enterprise supply chain applications & network; acquired)

Multi-enterprise supply chain software and network (planning, visibility, execution) spanning shippers, suppliers, carriers and logistics partners

Revenue

37.1%

Structure

Oligopoly

Pricing

moderate

Share

Peers

DSGXKXS.TOMANHORCL+1

Moat Claims

CargoWise

Enterprise logistics execution software for freight forwarders, customs brokers and 3PLs (CargoWise platform)

1H26 total revenue was $672.0m and CargoWise revenue was $372.4m (company reporting). revenue_share computed as 372.4 / 672.0.

Oligopoly

Data Workflow Lockin

Demand

Strength

Strength 5 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 3 of 5

CargoWise is used to execute mission-critical logistics workflows on a unified data model; persistent high recurring revenue and extremely low attrition are consistent with strong operational and data switching costs.

Data Workflow Lockin moat: definition, examples, and stocks

Erosion risks

  • Major customers keep or build in-house platforms
  • Open APIs/data portability reduce switching friction
  • Extended outages or security incidents reduce trust

Leading indicators

  • Customer attrition rate
  • Net revenue retention / expansion metrics
  • Global rollout milestones for large customers

Counterarguments

  • Large forwarders can fund proprietary systems and keep them in-house
  • Competing ERP/supply chain suites can integrate cross-function workflows at enterprise scale

Ecosystem Complements

Network

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

A partner and certification ecosystem (implementation partners, education partners, and trained practitioners) lowers onboarding friction and supports implementations, reinforcing adoption and retention.

Ecosystem Complements moat: definition, examples, and stocks

Erosion risks

  • Partners and integrators also support competing platforms
  • Training/certification value declines if workflows/UI change too fast

Leading indicators

  • Certified practitioner count
  • Partner agreement count
  • Partner-led implementation mix

Counterarguments

  • Large vendors can subsidize partner ecosystems and training programs
  • Ecosystem advantages weaken if customers standardize around generic integration layers

Suite Bundling

Demand

Strength

Strength 4 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 3 of 5

The CargoWise Value Pack shifts toward a bundled, per-transaction commercial model that packages a broad set of capabilities under a single price, encouraging wider module adoption and simplifying purchasing.

Suite Bundling moat: definition, examples, and stocks

Erosion risks

  • Customers resist bundled pricing if perceived as a price hike
  • Best-of-breed point solutions outperform bundled modules
  • Competitors respond with aggressive discounting

Leading indicators

  • Value Pack adoption rate
  • Average number of modules/features actively used per customer
  • Gross retention / churn after pricing changes

Counterarguments

  • Bundling can increase scrutiny of total cost of ownership and invite switching
  • Point solutions can win on depth/innovation in specific functions

Non-CargoWise acquired platforms (legacy)

Legacy logistics software platforms acquired since 2012 that are not part of CargoWise revenue (maintenance + residual services)

1H26 total revenue was $672.0m and Non-CargoWise revenue was $50.2m (company reporting). revenue_share computed as 50.2 / 672.0.

Competitive

Legacy installed-base tail

Demand

Strength

Strength 2 of 5

Durability

Durability 1 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

Residual revenue persists from acquired non-CargoWise products due to customer inertia and migration timelines, but is expected to contract as legacy platforms are consolidated/sunset.

WiseTech defines Non-CargoWise revenue as acquired businesses not included in CargoWise; management signals contraction from older acquisitions, implying limited long-term defensibility.

Erosion risks

  • Accelerated migration and sunset of legacy products
  • Local competitors displace legacy systems

Leading indicators

  • Non-CargoWise revenue trend
  • Number of platforms migrated or sunset

Counterarguments

  • This segment is a declining tail rather than a durable moat; customers can exit as contracts expire

e2open (multi-enterprise supply chain applications & network; acquired)

Multi-enterprise supply chain software and network (planning, visibility, execution) spanning shippers, suppliers, carriers and logistics partners

1H26 total revenue was $672.0m and e2open revenue was $249.4m, reflecting five months of contribution. revenue_share computed as 249.4 / 672.0.

Oligopoly

Two Sided Network

Network

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 3 of 5

WiseTech positions e2open as enabling a multi-sided marketplace connecting customers and suppliers for digital straight-through processing, implying network-effect potential if participation and transaction volumes scale; the ACCC-required Expedient divestiture shows acquisition integration can face regulatory scope limits.

Two Sided Network moat: definition, examples, and stocks

Erosion risks

  • Participants multi-home across competing networks
  • Integration and product rationalization reduce perceived value
  • Regulatory remedies or divestitures reduce expected network scope in specific geographies

Leading indicators

  • Active participants (shippers/suppliers/carriers) on the network
  • Transaction or message volumes
  • Customer retention and renewal rates post-integration

Counterarguments

  • Network effects are weaker if customers can connect via generic integration platforms
  • Large enterprises can stitch point solutions together and avoid single-vendor lock-in

Data Network Effects

Network

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 2 of 5

Evidence

Evidence 2 of 5

WiseTech highlights potential to combine WiseTech and e2open datasets and monetize aggregated indicators; the moat depends on execution, data rights, and willingness-to-pay for data products.

Data Network Effects moat: definition, examples, and stocks

Erosion risks

  • Data privacy/regulatory constraints on aggregation and resale
  • Low willingness to pay for indicator products
  • Competitors offer similar datasets

Leading indicators

  • Launch of data-indicator products
  • Number of paying data customers
  • Coverage breadth and update frequency

Counterarguments

  • Data products can commoditize; customers may rely on public or diversified data sources
  • Network/data advantages may not translate to durable pricing power without exclusive rights

Evidence

other

single, global, database across multiple users, functions, offices, corporations, currencies, countries and languages.

A single global database and embedded workflows imply deep process and data lock-in for customers.

other

98% recurring revenue and exceptionally low attrition (<1% for 12 consecutive years).

Long-run attrition under 1% indicates high switching costs and mission-criticality.

other

CargoWise recurring revenue 99%

Management reports a highly recurring revenue profile, consistent with stickiness.

other

42,000+ CargoWise Certified Professionals

The scale of trained practitioners indicates a meaningful complement ecosystem around the platform.

other

735 Partner Agreements across our solutions

The partner count supports the implementation and onboarding complement thesis.

Showing 5 of 16 sources.

Risks & Indicators

Erosion risks

  • Major customers keep or build in-house platforms
  • Open APIs/data portability reduce switching friction
  • Extended outages or security incidents reduce trust
  • Partners and integrators also support competing platforms
  • Training/certification value declines if workflows/UI change too fast
  • Customers resist bundled pricing if perceived as a price hike

Leading indicators

  • Customer attrition rate
  • Net revenue retention / expansion metrics
  • Global rollout milestones for large customers
  • Certified practitioner count
  • Partner agreement count
  • Partner-led implementation mix

Keep the research going

Created 2025-12-29
Updated 2026-07-01

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