Mercedes-Benz Group (BENZ) Fair Value & Analysis
Consumer Cyclical · CA · Market cap C$78.5B
Fair value as of: Jun 24, 2026
Analysis
Mercedes-Benz Group (BENZ) currently trades at C$20.44, while our model-based Fair Value estimate is C$35.22 — implying the stock looks roughly 72.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Mercedes-Benz Group AG operates as an automotive company in Germany and internationally. It operates through Mercedes-Benz Cars, Mercedes-Benz Vans, and Mercedes-Benz Mobility segments. The company develops, manufactures, and sells cars and vans under the Mercedes-Benz, Mercedes-AMG, Mercedes-Maybach, G-Class brands, as well as related spare parts and accessories. It also provides financing, leasing, vehicle subscription and rental, fleet management, insurance brokerage, and mobility services, as well as digital services for charging and payment. The company was formerly known as Daimler AG and changed its name to Mercedes-Benz Group AG in February 2022. Mercedes-Benz Group AG was founded in 1886 and is headquartered in Stuttgart, Germany.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Mercedes-Benz Group (BENZ) undervalued?
What is the fair value of BENZ?
What is the quality score of BENZ?
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.