VOL. XCIV, NO. 247
★ WIDE MOAT STOCKS COMPARISON ★
NO ADVICE
Wednesday, January 7, 2026
Stock Comparison
Legrand S.A. vs Sea Limited
Compare moat strength, market structure, and segment coverage to understand how each company defends its edge.
Legrand S.A.
LR · Euronext Paris
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
Sea Limited
SE · New York Stock Exchange
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
Comparison highlights
- Moat score gap: Sea Limited leads (69 / 100 vs 68 / 100 for Legrand S.A.).
- Segment focus: Legrand S.A. has 2 segments (80% in Building electrical & digital infrastructure (non-datacenter)); Sea Limited has 3 segments (73.8% in Shopee (E-commerce)).
- Moat breadth: Legrand S.A. has 4 moat types across 3 domains; Sea Limited has 6 across 3.
Primary market context
Legrand S.A.
Building electrical & digital infrastructure (non-datacenter)
Low-voltage electrical and digital building infrastructure (wiring devices, energy distribution, cable management, building controls)
Global (strong Europe & North America footprint)
Professional installers/electricians, electrical wholesalers, OEM/contractors; end-users in residential & commercial buildings
Manufacturer + brand owner; channel-driven distribution
80%
Sea Limited
Shopee (E-commerce)
E-commerce marketplace and related value-added services
Southeast Asia, Taiwan, Brazil
Consumers and sellers
Marketplace operator
73.8%
Side-by-side metrics
Moat coverage
Shared moat types
No overlap yet.
Legrand S.A. strengths
Sea Limited strengths
Segment mix
Legrand S.A. segments
Full profile >Building electrical & digital infrastructure (non-datacenter)
Oligopoly
Datacenter infrastructure
Oligopoly
Sea Limited segments
Full profile >Shopee (E-commerce)
Oligopoly
SeaMoney (Digital Financial Services)
Competitive
Garena (Digital Entertainment)
Competitive
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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).
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