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FedEx Corporation

FDX · New York Stock Exchange

Market cap (USD)$74.6B
SectorIndustrials
IndustryIntegrated Freight & Logistics
CountryUS
Data as of
Moat score
88/ 100

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

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Overview

FedEx Corporation is now centered on the Federal Express integrated parcel and express network after FedEx Freight became an independent public company on June 1, 2026. The primary moat is the costly-to-replicate global air-ground network and the route-density economics it enables; competition from UPS, DHL, Amazon Logistics and regional carriers still limits pricing. Smaller Logistics, Office and Dataworks activities can leverage the transportation footprint for a modest scope advantage, but shared branding and shipment data alone do not establish separate moats.

Primary segment

Federal Express (integrated parcel & express)

Market structure

Oligopoly

Market share

18% (reported)

HHI: 2,464

Coverage

2 segments · 5 tags

Updated 2026-07-12

Segments

Federal Express (integrated parcel & express)

Integrated parcel and express delivery (air-ground integrator model)

Revenue

95.3%

Structure

Oligopoly

Pricing

moderate

Share

18% (reported)

Peers

UPSAMZNDHL.DE

Corporate, other, and eliminations (Dataworks, Office, Logistics)

Integrated logistics/3PL, freight forwarding, retail print & ship access, and supply-chain data products

Revenue

4.7%

Structure

Competitive

Pricing

weak

Share

Peers

EXPDCHRWGXO

Moat Claims

Federal Express (integrated parcel & express)

Integrated parcel and express delivery (air-ground integrator model)

Revenue share normalizes FY2026 segment revenue to exclude the now-independent FedEx Freight business. FY2026 Federal Express results improved from U.S. Domestic and International Priority yields, package volume and transformation savings, while Network 2.0 and DRIVE remain key efficiency initiatives.

Oligopoly

Physical Network Density

Supply

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 5 of 5

Evidence

Evidence 2 of 5

Dense global air-ground network (220+ countries) with large fleet and pickup/drop-off footprint; decades of capex and know-how make replication difficult.

Physical Network Density moat: definition, examples, and stocks

Erosion risks

  • Amazon Logistics share gains in U.S. parcels
  • Regional/alternative last-mile carriers grow
  • Aviation emissions regulation and SAF costs

Leading indicators

  • Cost per package / cost per stop
  • On-time performance and service quality metrics
  • Network 2.0 rollout progress

Counterarguments

  • UPS and DHL also operate large global networks
  • High fixed costs can become a disadvantage in volume downturns

Scale Economies Unit Cost

Supply

Strength

Strength 4 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Route density, hub automation, and network optimization programs support unit-cost advantages versus smaller carriers (especially in dense lanes).

Scale Economies Unit Cost moat: definition, examples, and stocks

Erosion risks

  • Automation technologies diffuse to competitors over time
  • Volume volatility reduces density and raises unit costs
  • Labor and contractor cost inflation

Leading indicators

  • Productivity metrics (packages per hour, stops per route)
  • Purchased transportation as % of revenue
  • Operating margin trend in Federal Express segment

Counterarguments

  • Scale does not guarantee lower costs in all geographies/lanes
  • Competitors can match automation capex in key hubs

Corporate, other, and eliminations (Dataworks, Office, Logistics)

Integrated logistics/3PL, freight forwarding, retail print & ship access, and supply-chain data products

Includes FedEx Dataworks, FedEx Office, and FedEx Logistics (including FedEx Supply Chain); revenue share normalizes FY2026 segment revenue to exclude FedEx Freight.

Competitive

Scope Economies

Supply

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Logistics and trade services can bundle with the core transportation network (customs clearance at hubs, forwarding, supply-chain services), improving win rates and lowering customer acquisition costs.

Scope Economies moat: definition, examples, and stocks

Erosion risks

  • 3PL and forwarding markets are highly competitive with low switching costs
  • Customers split providers to avoid concentration risk

Leading indicators

  • Attach rate of logistics services to shipping accounts
  • Growth in customs brokerage / forwarding volumes

Counterarguments

  • Best-of-breed forwarders/3PLs can match service breadth without owning parcel networks
  • Shippers may prefer neutral 3PLs that are not also a carrier

Evidence

sec_filing

Paraphrase: Federal Express serves 220+ countries via an integrated air-ground network with ~63k drop-off locations, ~700 aircraft, and ~175k vehicles (FY25).

Supports the physical density/coverage claim and the asset intensity behind it.

sec_filing

Paraphrase: The filing states the global network is difficult/costly/time-consuming to replicate and references an all-cargo air fleet and global GDP coverage.

Direct company framing of replication difficulty (barrier to entry).

news

continued cost savings from transformation initiatives

Supports scale and network transformation translating into lower structural costs.

industry_report

Paraphrase: 2024 U.S. parcel volume shares shown as USPS 31%, Amazon 27%, UPS 21%, FedEx 18%, Others 3%.

Used directly for the reported market-share figure.

industry_report

Paraphrase: The report provides the 2024 carrier parcel-volume shares used for the HHI calculation.

HHI is computed from the reported shares.

Showing 5 of 6 sources.

Risks & Indicators

Erosion risks

  • Amazon Logistics share gains in U.S. parcels
  • Regional/alternative last-mile carriers grow
  • Aviation emissions regulation and SAF costs
  • Service mix shifts toward lower-margin deferred services
  • Automation technologies diffuse to competitors over time
  • Volume volatility reduces density and raises unit costs

Leading indicators

  • Cost per package / cost per stop
  • On-time performance and service quality metrics
  • Network 2.0 rollout progress
  • Aircraft utilization and load factor
  • Productivity metrics (packages per hour, stops per route)
  • Purchased transportation as % of revenue

Keep the research going

Created 2026-01-10
Updated 2026-07-12

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