Meticillin-resistant Staphylococcus aureus (MRSA) is an emerging companion animal infection with poorly described zoonotic or anthropozoonotic potential. This study presents a quantitative risk analysis in the form of a second order stochastic simulation model with accompanying logistic regression sensitivity analysis that aims to define the most important factors for MRSA acquisition in dogs. Key findings are that both veterinary and non-veterinary routes of acquisition of MRSA are likely to be relevant for dogs. The most influential predictors for MRSA acquisition in dogs were predicted to be exposure to MRSA positive family members and attendance at veterinary clinics. Variation in the probabilities of transmission of MRSA from the (non-veterinary) environment and from veterinary staff members were also found to be highly influential for MRSA acquisition. While future research should aim to focus in these areas better to quantify transmission parameters, this research also exposes some limitations of applying this approach to a data sparse problem.