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SEGRO Plc (SEGXF) Fair Value & Analysis

Real Estate · US · Market cap $13.0B

Price$10.37
Fair Value$6.25
Upside-39.7%
Quality95/100
Evidence: High Range $3.78 – $8.72

Analysis

SEGRO Plc (SEGXF) currently trades at $10.37, while our model-based Fair Value estimate is $6.25 — implying the stock looks roughly 39.7% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

SEGRO Plc is a UK Real Estate Investment Trust (REIT), listed on the London Stock Exchange and Euronext Paris, and is a leading owner, manager and developer of modern warehouses and industrial property. It owns or manages 10.9 million square meters of space (117 million square feet) valued at 22.0 billion pounds serving customers from a wide range of industry sectors. Its properties are in and around major cities and at key transportation hubs in the UK and in seven other European countries. For over 100 years SEGRO has been creating space that enables extraordinary things to happen. From modern big box warehouses, used primarily for regional, national and international distribution hubs, to urban warehousing located close to major population centres and business districts, it provides high quality assets that allow its customers to thrive. A commitment to be a force for society and environmental good is integral to SEGRO's purpose and strategy. Its Responsible SEGRO framework focus…

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.