Sixt SE (SIXGF) Fair Value & Analysis
Industrials · US · Market cap $3.9B
Analysis
Sixt SE (SIXGF) currently trades at $84.00, while our model-based Fair Value estimate is $101.52 — implying the stock looks roughly 20.9% 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
Sixt SE, through its subsidiaries, provides mobility services through a corporate and franchise branch network for private and business customers. It offers its products through the SIXT app, which comprises SIXT rent, a car rental service; SIXT van and truck for commercial vehicle rental; SIXT share, a car sharing service, as well as offering micromobility services through e-scooters, e-mopeds, and e-bikes; SIXT+ for car subscriptions/long-term rentals; and SIXT ride, which includes transfer services, brokerage of professional driver and chauffeur services, and event transport services; and SIXT charge, a charging solutions for e-vehicles. It operates in Germany, Europe, North America, and internationally. It serves private customers, tourists, business and corporate clients, and intermediary partners, distributing its offerings through direct (B2C), business (B2B), and partner (B2P) sales channels. The company was founded in 1912 and is headquartered in Pullach, Germany. Sixt SE i…
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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.