Monex, S.A. (MONEXB) Fair Value & Analysis
Financials · MX · Market cap 17.3B MXN
Fair value as of: Jun 25, 2026
Analysis
Monex, S.A. (MONEXB) currently trades at 20.00 MXN, while our model-based Fair Value estimate is 40.00 MXN — implying the stock looks roughly 100.0% undervalued today. We read business quality at 89/100 (high quality), in the Financials 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: medium) — always confirm before acting.
About the company
Monex, S.A.B. de C.V., together with its subsidiaries, provides various financial services to individuals and companies. The company's products and services include foreign exchange and payments, letters of credit, short-term credit facilities, digital accounts, investment funds, trusts, derivatives and structured notes, financial advisory, securities investment, international investments, as well as digital currency trading platforms and insurance products. It also provides foreign exchange trading, cash management, business credit, stock brokerage, private advice, certificates of term deposit, asset management, and promissory notes with yield payable at maturity services; credit products and international trade services; risk management products and services comprises options, institutional savings and personal retirement plans, forwards, swaps, and futures; and leasing products for transportation-related assets, and machinery and equipment. In addition, the company is involved in…
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Frequently asked questions
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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.