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Controladora Vuela Compañía de Aviación, S.A. (VOLARA) Fair Value & Analysis

Industrials · MX · Market cap 14.9B MXN

Price12.98 MXN
Fair Value1.73 MXN
Upside-86.7%
Quality95/100
Evidence: High Range 1.36 MXN – 2.09 MXN

Analysis

Controladora Vuela Compañía de Aviación, S.A. (VOLARA) currently trades at 12.98 MXN, while our model-based Fair Value estimate is 1.73 MXN — implying the stock looks roughly 86.7% overvalued today. We read business quality at 95/100 (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: high).

About the company

Controladora Vuela Compañía de Aviación, S.A.B. de C.V., through its subsidiary, Concesionaria Vuela Compañía de Aviación, S.A.P.I. de C.V., provides air transportation services for passengers, cargo, and mail in Mexico and internationally. The company operates approximately 550 daily flights on routes connecting 44 cities in Mexico, 22 cities in the United States, 4 cities in Central America, and 2 cities in South America. It also offers travel agency, share administration trust, pre-delivery payments financing, aircraft administration trust, and loyalty program, as well as specialized and aeronautical technical services. The company leases 151 aircraft and 14 spare engines. Controladora Vuela Compañía de Aviación, S.A.B. de C.V. was incorporated in 2005 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.