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Harworth Group (HWGLF) Fair Value & Analysis

Real Estate · US · Market cap $673M

Price$2.07
Fair Value$0.6500
Upside-68.6%
Quality95/100
Evidence: Low Range $0.4900 – $0.8100

Analysis

Harworth Group (HWGLF) currently trades at $2.07, while our model-based Fair Value estimate is $0.6500 — implying the stock looks roughly 68.6% 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: low).

About the company

Harworth Group plc operates as a regeneration, strategic land, and development businesses. It operates through two segments, Income Generation and Capital Growth. The Income Generation segment is involved in generating rental returns from the investment portfolio; rental returns and royalties from energy generation, environmental technologies, and the agricultural portfolio; and provision of recycled aggregates products. The Capital Growth segment engages in the planning and development, value engineering, proactive asset management, and strategic land acquisition activities. Its property portfolio includes commercial, industrial and logistics, and residential properties. The company was formerly known as Coalfield Resources plc and changed its name to Harworth Group plc in March 2015. Harworth Group plc was incorporated in 1991 and is headquartered in Rotherham, the United Kingdom.

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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.