VOL. XCIV, NO. 247

★ WIDE MOAT STOCKS COMPARISON ★

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Wednesday, January 7, 2026

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Stock Comparison

S.F. Holding Co., Ltd. vs Uber Technologies, Inc.

Compare moat strength, market structure, and segment coverage to understand how each company defends its edge.

S.F. Holding Co., Ltd.

002352 · Shenzhen Stock Exchange

Market cap (USD)$187.6B
Gross margin (TTM)13.2%
Operating margin (TTM)4.7%
Net margin (TTM)3.6%
SectorIndustrials
IndustryIntegrated Freight & Logistics
CountryCN
Data as of2025-12-28
Moat score
75/ 100

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

Full stock profile

Dive deeper into S.F. Holding Co., Ltd.'s moat claims, evidence, and risks.

View 002352 analysis

Uber Technologies, Inc.

UBER · New York Stock Exchange

Market cap (USD)$167.8B
Gross margin (TTM)39.8%
Operating margin (TTM)9.2%
Net margin (TTM)33.5%
SectorIndustrials
IndustrySoftware - Application
CountryUS
Data as of2026-01-05
Moat score
66/ 100

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

Full stock profile

Dive deeper into Uber Technologies, Inc.'s moat claims, evidence, and risks.

View UBER analysis

Comparison highlights

  • Moat score gap: S.F. Holding Co., Ltd. leads (75 / 100 vs 66 / 100 for Uber Technologies, Inc.).
  • Segment focus: S.F. Holding Co., Ltd. has 7 segments (43% in Time-definite Express); Uber Technologies, Inc. has 3 segments (57% in Mobility).
  • Primary market structure: Quasi-Monopoly vs Oligopoly. Pricing power: Strong vs Moderate.
  • Moat breadth: S.F. Holding Co., Ltd. has 9 moat types across 3 domains; Uber Technologies, Inc. has 4 across 2.

Primary market context

S.F. Holding Co., Ltd.

Time-definite Express

Market

Premium time-definite parcel express delivery services

Geography

China

Customer

B2B, B2C

Role

Integrated parcel pickup, sorting, line-haul, and last-mile delivery

Revenue share

43%

Uber Technologies, Inc.

Mobility

Market

Ride-hailing / on-demand mobility marketplaces

Geography

Global

Customer

Consumers (riders) and independent mobility drivers; plus transit/taxi partners in some markets

Role

Marketplace platform / demand generation / dispatch and payments

Revenue share

57%

Side-by-side metrics

S.F. Holding Co., Ltd.
Uber Technologies, Inc.
Ticker / Exchange
002352 - Shenzhen Stock Exchange
UBER - New York Stock Exchange
Market cap (USD)
$187.6B
$167.8B
Gross margin (TTM)
13.2%
39.8%
Operating margin (TTM)
4.7%
9.2%
Net margin (TTM)
3.6%
33.5%
Sector
Industrials
Industrials
Industry
Integrated Freight & Logistics
Software - Application
HQ country
CN
US
Primary segment
Time-definite Express
Mobility
Market structure
Quasi-Monopoly
Oligopoly
Market share
64.1% (reported)
74%-78% (reported)
HHI estimate
n/a
6,352
Pricing power
Strong
Moderate
Moat score
75 / 100
66 / 100
Moat domains
Supply, Demand, Network
Network, Demand
Last update
2025-12-28
2026-01-05

Moat coverage

Shared moat types

Brand TrustTwo Sided Network

S.F. Holding Co., Ltd. strengths

Physical Network DensityScale Economies Unit CostOperational ExcellenceService Field NetworkScope EconomiesSwitching Costs GeneralNon-core ancillary activities

Uber Technologies, Inc. strengths

Data Network EffectsSuite Bundling

Segment mix

S.F. Holding Co., Ltd. segments

Full profile >

Time-definite Express

Quasi-Monopoly

43%

Economy Express

Oligopoly

10%

LTL Freight

Competitive

13%

Cold Chain & Pharmaceutical

Competitive

3%

Intra-city On-demand

Oligopoly

3%

Supply Chain & International

Competitive

25%

Other (Non-logistics & Undistributed Units)

Competitive

3%

Uber Technologies, Inc. segments

Full profile >

Mobility

Oligopoly

57%

Delivery

Oligopoly

31.3%

Freight

Competitive

11.7%

Want the full wide moat stocks list?

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

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Looking for expansion-stage stocks?

Proven models entering the expansion stage with unit economics that work.

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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.