Fibra Mty, S.A. (FMTY14) Fair Value & Analysis
Financial Services · MX · Market cap 35.5B MXN
Analysis
Fibra Mty, S.A. (FMTY14) currently trades at 14.30 MXN, while our model-based Fair Value estimate is 5.06 MXN — implying the stock looks roughly 64.6% overvalued today. We read business quality at 92/100 (high quality), in the Financial Services 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: medium).
About the company
Fibra Mty, S.A.P.I. de C.V. is a real estate investment trust that initiated operations on December 11, 2014, identified by the number F/2157 (Trust 2157). Fibra Mty's strategy is based mainly on the acquisition, administration, development, and operation of corporate properties in Mexico. Fibra Mty is a FIBRA qualified as a transparent entity under Mexican Income Tax laws; therefore, all revenues derived from Fibra Mty's operation are attributable to the holders of its CBFIs, given that Trust 2157 is not subject to Income Tax in Mexico. To maintain FIBRA status articles 187 and 188 of Mexican Income Tax Law establish that FIBRA such as Trust 2157 must distribute annually at least 95% of their net income to holders of CBFIs and invest at least 70% of their assets in real estate rental properties, among other requirements. Fibra Mty is internally managed by Administrator Fibra Mty, S.C., making Fibra Mty the first investment vehicle of its kind within the FIBRAS sector in Mexico, sup…
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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.