Croma Security Solutions Group (CSSG) Fair Value & Analysis
Industrials · GB · Market cap 9.3M GBX
Fair value as of: Jun 24, 2026
Analysis
Croma Security Solutions Group (CSSG) currently trades at p0.6750, while our model-based Fair Value estimate is p1.03 — implying the stock looks roughly 52.6% 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
Croma Security Solutions Group plc provides security services in the United Kingdom. The company operates through Croma Locksmiths; and Croma Fire and Security segments. The Croma Locksmiths segment supplies, installs, and maintains locks, padlocks, keys, safes, ironmongery, UPVC mechanisms, security shutters, grilles, and doors. The Croma Fire and Security segment designs, supplies, installs, monitors, and maintains intruder alarms systems, CCTV, security, fire and life safety systems, access control systems, perimeter detection systems, barriers, gates, bollards, and automatic doors/shutters. It also offers range of electronic security solutions and services to commercial and individual customers. Croma Security Solutions Group plc was formerly known as Croma Group plc and changed its name to Croma Security Solutions Group plc in March 2012. The company was incorporated in 1996 and is headquartered in Whiteley, 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.