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Union Insurance Co (2816) Fair Value & Analysis

Financial Services · TW · Market cap 7.4B TWD

Price33.05 TWD
Fair Value60.58 TWD
Upside+83.3%
Quality95/100
Evidence: High Range 45.43 TWD – 75.72 TWD

Fair value as of: Jun 26, 2026

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Analysis

Union Insurance Co (2816) currently trades at 33.05 TWD, while our model-based Fair Value estimate is 60.58 TWD — implying the stock looks roughly 83.3% 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

Union Insurance Co., Ltd. provides insurance products and services in Taiwan. It underwrites fire, marine, automobile, engineering, liability and accident, health, and other insurance products; and reinsurance products. The company was incorporated in 1963 and is headquartered in Taipei, Taiwan.

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Frequently asked questions

Is Union Insurance Co (2816) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 60.58 TWD versus a price of 33.05 TWD — about +83% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 2816?
Our 21-model fair value for Union Insurance Co is 60.58 TWD (as of Jun 26, 2026), built from audited fundamentals. The current price is 33.05 TWD.
What is the quality score of 2816?
Union Insurance Co 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.