Fairvalue-Calculator Fairvalue-Calculator
EN DE

INETREIT (INETREIT) Fair Value & Analysis

Real Estate · TH · Market cap 9.1B THB

Price12.60 THB
Fair Value9.15 THB
Upside-27.4%
Quality95/100
Evidence: High Range 5.07 THB – 10.41 THB

Fair value as of: Jun 26, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

INETREIT (INETREIT) currently trades at 12.60 THB, while our model-based Fair Value estimate is 9.15 THB — implying the stock looks roughly 27.4% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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).

Open the full interactive analysis →

Similar stocks

Equinix, Inc (EQIX) -93% American Tower Corporation (AMT) -22% Digital Realty Trust, Inc (DLR) -45% Crown Castle Inc (C1CI34) -73% Iron Mountain Incorporated (IRM) -69% SBA Communications Corporation (SBAC) -22%

Frequently asked questions

Is INETREIT (INETREIT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 9.15 THB versus a price of 12.60 THB — about −27% (overvalued). Model-based estimate, not financial advice.
What is the fair value of INETREIT?
Our 21-model fair value for INETREIT is 9.15 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 12.60 THB.
What is the quality score of INETREIT?
INETREIT 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.