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Peer Cluster · Structural similarity

Companies with a Similar Profile to Public Storage

8 companies structurally similar to Public Storage (PSA) — identified by peer analysis across revenue dynamics, margin profile, capital efficiency and growth patterns. Not based on sector labels alone.

Updated 2026-04-05 · PSA full analysis →

Companies similar to Public Storage cluster around comparable structural characteristics, with the strongest visible overlap typically appearing in quality. Examples in this group include Simon Property Group, Inc., Lamar Advertising Company, Gaming and Leisure Properties, Inc..

Reference company
PSA
Public Storage
Peer score: 70
Dimension scores
Growth
33
Quality
97
Valuation
62
Stability
78
Functionally similar companies — ranked by peer score
# Company Peer score
#1
SPG · Real Estate
83
#2
LAMR · Real Estate
67
#3
GLPI · Real Estate
77
#4
WDP.BR · Real Estate
53
#5
LI.PA · Real Estate
75
#6
LAND.L · Real Estate
46
#7
BYG.L · Real Estate
55
#8
AM · Energy
56
Direct comparisons — PSA vs peers

Peer-relative comparison across valuation, quality, growth and stability.

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Peer similarity is rule-based and descriptive only. Based on structural analysis of revenue, margins, capital intensity and growth patterns. Not investment advice.

How AssetNext Peer Scores Work

AssetNext scores reflect each company's structural position within its functional peer group — not a ranking against all stocks simultaneously. Peers are identified by similarity across eight financial dimensions, including revenue growth trajectory, margin structure, capital intensity, and earnings stability. A score of 75 means the company ranks in the top quartile within its own peer group, not the entire market.

Four dimension scores drive the overall peer score: Growth (revenue trajectory and expansion dynamics), Quality (margin structure and capital efficiency), Valuation (peer-relative pricing on standard multiples), and Stability (earnings consistency and financial predictability). Each dimension is scored 0–100 relative to the peer group, then combined into an overall peer score using equal weighting.

Scores are recalculated periodically as underlying financial data is updated. All analysis is descriptive and rule-based — AssetNext describes structural realities and never issues buy, sell or hold recommendations.