Fairvalue-Calculator Fairvalue-Calculator

XPS Pensions Group (XPS) Fair Value & Analysis

Consumer Cyclical · GB · Market cap 630M GBX

Pricep3.00
Fair Valuep1.93
Upside-35.6%
Quality95/100
Evidence: High Range p1.45 – p2.41

Analysis

XPS Pensions Group (XPS) currently trades at p3.00, while our model-based Fair Value estimate is p1.93 — implying the stock looks roughly 35.6% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high).

About the company

XPS Pensions Group plc, together with its subsidiaries, provides employee benefit consultancy and related business services in the United Kingdom. It offers convent and pension advisory; investment and insurance consulting; DB master trust schemes; and self-invested personal pension and SSAS pension services. Further, it provides pension administer services, such as payroll, record keeping, calculations, communications, scheme accounting, and scam identification and protection, and management consultancy services, as well as de-risking projects, GMP equalization, trustee secretarial, and data audits and cleansing services. In addition, it provides XPS Arena, a digital learning platform; technologies; and trackers. The company was formerly known as Xafinity Plc and changed its name to XPS Pensions Group Plc in May 2018. XPS Pensions Group plc was incorporated in 2012 and is based in Reading, the United Kingdom.

Open the full interactive analysis →

Similar stocks

Rollins, Inc (ROL) -52% Service Corporation (SCI) -50% H&R Block, Inc (HRB) +120% Frontdoor, Inc (FTDR) +2% Bright Horizons Family Solutions Inc (BFAM) +14% Fu Shou Yuan International Group (FSHUF) +26%

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.