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Workspace Group (WKPPF) Fair Value & Analysis

Real Estate · US · Market cap $821M

Price$4.26
Fair Value$9.74
Upside+128.6%
Quality97/100
Evidence: High Range $6.29 – $13.20

Analysis

Workspace Group (WKPPF) currently trades at $4.26, while our model-based Fair Value estimate is $9.74 — implying the stock looks roughly 128.6% undervalued today. We read business quality at 97/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Workspace Group Plc is London's leading owner and operator of flexible workspace, currently managing 3.8 million sq. ft. of sustainable space at 57 locations in London and the Southeast. The firm is home to some 4,000 of London's fastest growing and established brands from a diverse range of sectors. Their purpose, to give businesses the freedom to grow, is based on the belief that in the right space, teams can achieve more. That in environments they tailor themselves, free from constraint and compromise, teams are best able to collaborate, build their culture and realise their potential. They have a unique combination of a highly effective and scalable operating platform, a portfolio of distinctive properties, and an ownership model that allows us to offer true flexibility. The firm provide customers with space to create a home for their business, alongside leases that give them the freedom to easily scale up and down within our well-connected, extensive portfolio. They are inheren…

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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.