Quálitas Controladora, S.A. (QUCOF) Fair Value & Analysis
Financial Services · US · Market cap $3.6B
Analysis
Quálitas Controladora, S.A. (QUCOF) currently trades at $9.10, while our model-based Fair Value estimate is $14.61 — implying the stock looks roughly 60.5% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Quálitas Controladora, S.A.B. de C.V., through its subsidiaries, provides insurance, coinsurance, and reinsurance services in the personal accident, health, and automobile areas in Mexico, El Salvador, Costa Rica, Peru, and the United States. The company offers car insurance services comprising personal cars and pickups, cargo pickups, trucks, public passenger service, border guards, regularized vehicles, tourists, and motorcycles, as well as standardized basic insurance and professional liability insurance for insurance agents. It also provides mechanical and electrical breakdown, and civil liability insurance, as well as advisory and training services for investment planning and business management. In addition, the company engages in acquisition, sale, and service of automotive glass and automobile spare parts; and salvage management and marketing activities. Further, it offers telemetry-oriented hardware for heavy and light equipment fleets, data analysis, internet of things eco…
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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.