Description
Network furniture store ROLLER
Cuxhaven
Object - network store
furniture store ROLLER
Year of Construction 2006
Modernized 2017-2018
The area of the plot is 27.807 sq.m.
The area of rented premises is 11.833 sq.m.
Total number of parking spaces 273
100% leased
Opening May 2018
Contract May 2028 (main)
Condition excellent
Current annual income 460.700.00 EUR
Average annual income over 10 years
taking into account the rent increase 517.500 EUR
Profitability of the current 6.7%
Profitability average for 10 years 7.55%
Price: 6.850.000 EUR
Brokerage commission 4.76% incl. VAT (payable when signing a notarial contract of sale)
Cuxhaven (Cuxhaven) - a city with a population of 50,000 people is located in the Lower Land
Saxony on the North Sea coast. Cuxhaven is the third largest seaside city of the region and one of the largest resorts of Northern Germany since 1816.
annually it is visited more than 3 million tourists. Also the city is one of the largest fishing ports in Northern Germany.
The nearest major international airports are in Bremen (99 km) and Hamburg (120 km.). Trains and buses connect the city with many major cities of Germany and the nearest countries.
The proposed facility is located in a good location near the city center in about 3 minutes drive. The A27 motorway is a 10-minute drive away. The central station is located
within walking distance. Convenient connection with public transport.
Current income ROLLER 441.700 EUR
Income from a bakery with a cafeteria 19.700 EUR
Total annual income 460.700 EUR
Average annual income over 10 years
taking into account the rent increase 517.500 EUR
In the lease agreement with the furniture store ROLLER, rental leases are raised, as well as indexing.
The main contract without taking into account the extension options was signed before May 2028, both with the furniture store ROLLER and with the cafeteria.
* All data provided is based solely on information provided to us by the seller. Therefore, we are not responsible for the completeness, correctness and relevance of these data.