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Operadora de Sites Mexicanos, S.A. (OPMXF) Fair Value & Analysis

Industrials · US · Market cap $2.8B

Price$0.9522
Fair Value$0.3800
Upside-60.1%
Quality80/100
Evidence: Medium Range $0.2000 – $0.4200

Analysis

Operadora de Sites Mexicanos, S.A. (OPMXF) currently trades at $0.9522, while our model-based Fair Value estimate is $0.3800 — implying the stock looks roughly 60.1% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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

Operadora de Sites Mexicanos, S.A.B. de C.V. engages in building, installing, maintaining, operating, leasing, and marketing of various types of towers and other support structures for the telecommunications sector in Mexico and Costa Rica. It also provides construction, installation, maintenance, operation, and direct marketing of physical spaces and other non-electronic elements for the installation of radio communications radiating equipment; and other related services directly or indirectly related to the telecommunications sector. In addition, the company offers infrastructure leasing services to mobile telephony, radio and television, and IT service providers. Further, it provides site construction services for braced, self-supporting, and monopolar towers, as well as masts. Operadora de Sites Mexicanos, S.A.B. de C.V. was incorporated in 2015 and is headquartered in Mexico City, Mexico.

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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.