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Staffline Group (STAF) Fair Value & Analysis

Industrials · GB · Market cap 46.3M GBX

Pricep0.4000
Fair Valuep0.8400
Upside+110.0%
Quality95/100
Evidence: High Range p0.5900 – p1.15

Fair value as of: Jun 25, 2026

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Analysis

Staffline Group (STAF) currently trades at p0.4000, while our model-based Fair Value estimate is p0.8400 — implying the stock looks roughly 110.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Staffline Group PLC, together with its subsidiaries, provides recruitment and outsourced human resource services in the United Kingdom and the Republic of Ireland. It operates through the Recruitment GB and Recruitment Ireland segments. The company offers labor solutions in the food processing, manufacturing, e-retail, driving, and logistics sectors. It also provides permanent recruitment and managed services, as well as transport solutions. The company was founded in 1986 and is based in Nottingham, the United Kingdom.

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Frequently asked questions

Is Staffline Group (STAF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of p0.8400 versus a price of p0.4000 — about +110% (undervalued). Model-based estimate, not financial advice.
What is the fair value of STAF?
Our 21-model fair value for Staffline Group is p0.8400 (as of Jun 25, 2026), built from audited fundamentals. The current price is p0.4000.
What is the quality score of STAF?
Staffline Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.