Sodexo S.A (SDXAY) Fair Value & Analysis
Industrials · US · Market cap $8.4B
Analysis
Sodexo S.A (SDXAY) currently trades at $11.52, while our model-based Fair Value estimate is $17.39 — implying the stock looks roughly 51.0% undervalued today. We read business quality at 95/100 (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
Sodexo S.A. provides food services and facilities management services in North America, Europe, and internationally. It offers food services, including retail services, food delivery, and meal and food vouchers, as well as digital food ordering services; and facility management services, such as technical service management, assets management, building maintenance, access control, deep cleaning, energy management, space planning, project management, front-of-house services, grounds maintenance, waste management, HVAC systems, mail management, commercial cleaning, workspace management, and pest control. The company also provides venue marketing and event ticketing services in airport lounges, stadia and arenas, conference centers, convention centers, cultural destinations, and global events; healthcare and seniors; and learning solutions to schools and universities. In addition, it offers savings and purchasing solutions, data and digital tools, and advisory services and client suppo…
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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.