Fairvalue-Calculator Fairvalue-Calculator
EN DE

Sabre Insurance Group (SBIGY) Fair Value & Analysis

Financial Services · US · Market cap $518M

Price$8.50
Fair Value$10.41
Upside+22.5%
Quality95/100
Evidence: High Range $7.81 – $13.02

Fair value as of: Jun 25, 2026

Analysis

Sabre Insurance Group (SBIGY) currently trades at $8.50, while our model-based Fair Value estimate is $10.41 — implying the stock looks roughly 22.5% undervalued today. We read business quality at 95/100 (high quality), in the Financial 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

Sabre Insurance Group plc, through its subsidiaries, writes general insurance for motor vehicles in the United Kingdom. It offers taxi, private car, and motorcycle insurance through a network of insurance brokers, as well as through its Go Girl and Insure 2 Drive brands. Sabre Insurance Group plc was founded in 1982 and is based in Dorking, United Kingdom.

Open the full interactive analysis →

Similar stocks

Marsh & McLennan Companies, Inc (MRSH) -31% Aon plc (AON) -45% Arthur J. Gallagher & Co (A1JG34) -87% Willis Towers Watson Public Limited (WTW) -30% Brown & Brown, Inc (BRO) +33% Erie Indemnity Company (ERIE) -25%

Frequently asked questions

Is Sabre Insurance Group (SBIGY) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $10.41 versus a price of $8.50 — about +22% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SBIGY?
Our 21-model fair value for Sabre Insurance Group is $10.41 (as of Jun 25, 2026), built from audited fundamentals. The current price is $8.50.
What is the quality score of SBIGY?
Sabre Insurance 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.