This is your hub for all of the Maserati sales data for the U.S market.
When it comes to luxury vehicle brands, Maserati is the cream of the crop. It is known for being an ultra-exclusive brand among other luxury automobiles. But this Italian sports car isn’t just known for looking pretty — it also has some of the best performance stats of any passenger vehicle. This seem natural for the Italian luxury brand, since it originally started as a produced of racing cars back for much of its early history. It was only in the late 1950s that Maserati shifted their focus into designing and developing performance vehicles.
Many classic Maserati vehicles are now seen as highly collectible vehicles. One vehicle — the 1955 Maserati 300 S — actually set a sales record. It sold for $6.5 million at a British auction in 2013. When you think about that sale, the six-figure prices of some of the current lineup might seem like a bargain.
Our Take On Maserati US Sales Figures
Over the last couple of years, Maserati, has greatly improved its sales in the United States with the addition of the Ghibli large sedan and the new generation Quattroporte limousine besides its GranTurismo coupe and convertible.
In 2016, the Levante SUV will help Maserati grow even further, especially in North America where demand for such a vehicle is very high. Maserati currently imports all of its cars for the US market from its factory in Modena, Italy.
Maserati Monthly Sales Data
Below we have a table that shows Maserati sales for the United States automotive market, but this time it is broken out by month. This is on a unit basis. This is Maserati new vehicle sales in the US.
Maserati Sales & Growth
Below is the unit volume sales and unit growth rate for the Maserati brand in the United States.
Maserati Annual Sales and Market Share
Below we have a table that shows Maserati sales volumes for the US automotive market. This data captures all Maserati car sales. We found a great data source in Maserati directly who publishes sales data for the U.S market periodically. We were able to aggregate the data into the below format.