MONY Group (MONY) Fair Value & Analysis
Communication Services · GB · Market cap 928M GBX
Analysis
MONY Group (MONY) currently trades at p1.81, while our model-based Fair Value estimate is p3.01 — implying the stock looks roughly 66.2% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
MONY Group plc, together with its subsidiaries, provides price comparison and lead generation services through its websites and applications in the United Kingdom. The company operates through Insurance, Money, Home Services, Travel, and Cashback segments. It offers MoneySuperMarket, a price comparison site, which provides online and app-based tools to help people save money on their household bills; MoneySavingExpert, a consumer finance website; Quidco, a cashback site; TravelSupermarket for comparing prices on a range of holiday options, including package holidays and hotels, low-cost and charter airlines, and car hire providers; icelolly.com, a holiday price comparison website and deals platform; and Decision Tech, a B2B solution offers industry-leading comparison technology for third party brands. The company was formerly known as Moneysupermarket.com Group PLC and changed its name to MONY Group plc in May 2024. MONY Group plc was founded in 1993 and is based in Chester, the Uni…
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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.