Fairvalue-Calculator Fairvalue-Calculator
EN DE

EDUCA18 (EDUCA18) Fair Value & Analysis

Real Estate · MX · Market cap 66.2B MXN

Price53.90 MXN
Fair Value49.68 MXN
Upside-7.8%
Quality95/100
Evidence: High Range 34.92 MXN – 76.61 MXN

Fair value as of: Jun 25, 2026

Analysis

EDUCA18 (EDUCA18) currently trades at 53.90 MXN, while our model-based Fair Value estimate is 49.68 MXN — implying the stock looks roughly 7.8% 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).

About the company

Fideicomiso Irrevocable No. F/3277 en Banco Invex, S. A. Institución de Banca Múltiple, INVEX Grupo invests in real estate properties for education sector in Mexico. The company was founded in 2017 and is based in Mexico City, Mexico.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is EDUCA18 (EDUCA18) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 49.68 MXN versus a price of 53.90 MXN — about −8% (overvalued). Model-based estimate, not financial advice.
What is the fair value of EDUCA18?
Our 21-model fair value for EDUCA18 is 49.68 MXN (as of Jun 25, 2026), built from audited fundamentals. The current price is 53.90 MXN.
What is the quality score of EDUCA18?
EDUCA18 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.