Fairvalue-Calculator Fairvalue-Calculator
EN DE

Shin Ruenn development Co (6186) Fair Value & Analysis

Real Estate · TW · Market cap 8.0B TWD

Price41.95 TWD
Fair Value104.88 TWD
Upside+150.0%
Quality95/100
Evidence: High Range 71.61 TWD – 395.09 TWD

Fair value as of: Jun 26, 2026

Analysis

Shin Ruenn development Co (6186) currently trades at 41.95 TWD, while our model-based Fair Value estimate is 104.88 TWD — implying the stock looks roughly 150.0% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Shin Ruenn development Co., LTD develops, trades in, leases, and sells real estate properties in Taiwan. It develops and sells residential, building, and other real estate properties. The company was formerly known as Jinglay, Inc. and changed its name to Shin Ruenn development Co., LTD. in July 2011. Shin Ruenn development Co., LTD was founded in 1987 and is based in Taipei, Taiwan.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Shin Ruenn development Co (6186) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 104.88 TWD versus a price of 41.95 TWD — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6186?
Our 21-model fair value for Shin Ruenn development Co is 104.88 TWD (as of Jun 26, 2026), built from audited fundamentals. The current price is 41.95 TWD.
What is the quality score of 6186?
Shin Ruenn development 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.