Mr Price Group (MRPLY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.7B
Analysis
Mr Price Group (MRPLY) currently trades at $10.32, while our model-based Fair Value estimate is $12.12 — implying the stock looks roughly 17.4% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
Mr Price Group Limited, together with its subsidiaries, provides fashion-value merchandise in South Africa and internationally. It operates through Apparel, Homeware, Financial Services, and Telecoms segments. The company offers clothing, sportswear, accessories, babywear, football supporters' gear, casual wear, schoolwear, underwear, footwear, sporting equipment, and cosmetics; home textiles, décor products, accessories, kitchen and dining products, furniture, and kids merchandise; and mobile devices and accessories, as well as value added services, such as airtime, data, electricity, and DStv and bus ticketing. It also provides fitness, outdoor and team sports performance, and lifestyle products and equipment; and payment solutions, credit services, insurance products, and telecoms products. In addition, the company offers private-label assortment products, such as various homeware in home textiles; and small appliances, table and barware products, bed and bath products, and outdo…
Open the full interactive analysis →
Similar stocks
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.