Grupo Aeroportuario del Centro Norte, S.A. (OMAB) Fair Value & Analysis
Industrials · US · Market cap $5.5B
Analysis
Grupo Aeroportuario del Centro Norte, S.A. (OMAB) currently trades at $107.66, while our model-based Fair Value estimate is $152.06 — implying the stock looks roughly 41.2% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Grupo Aeroportuario del Centro Norte, S.A.B. de C.V., together with its subsidiaries, holds concessions to develop, operate, and maintain airports in Mexico. It operates 13 international airports in Monterrey; Acapulco, Mazatlán, and Zihuatanejo; Chihuahua, Culiacán, Durango, San Luis Potosí, Tampico, Torreón, and Zacatecas; and Ciudad Juárez and Reynosa cities. The company is also involved in leasing of space to restaurants and retailers. In addition, it engages in the operation of parking facilities; OMA Carga business comprising warehouses that provides cargo logistics services, such as storage, handling, custody maneuvers, loading and unloading, x-ray screening of exports, and other services; the Terminal 2 NH Collection Hotel; and the Hilton Garden Inn Hotel at the Monterrey airport; and non-permanent ground transportation. Further, the company provides aeronautical services, which include passenger, aircraft landing and parking, airport security, passenger walkway, and complem…
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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.