Description
Five-Bedroom Apartment with 140 m² Opposite the Calouste Gulbenkian Foundation | Lisbon Generous living spaces, a prime location, and exceptional potential for appreciation in the heart of Lisbon. Located at Rua Marquês de Sá da Bandeira, No. 94, directly opposite the iconic Calouste Gulbenkian Foundation, this spacious five-bedroom apartment, offering 140 m², presents an outstanding opportunity for those seeking generous interiors and the possibility of creating a truly bespoke home in one of Lisbon’s most desirable areas.
Situated on the 4th floor of a building without a lift, the apartment requires renovation, offering excellent potential to transform and customise the space to suit different lifestyles and personal preferences. The current layout comprises five bedrooms, a living room with large windows and access to small balconies, a kitchen with a dining area, a bathroom with a window, and additional storage spaces.
Original wooden flooring throughout several rooms adds character and charm, while abundant natural light and pleasant views over the treetops create a welcoming atmosphere in the heart of the city. The location is undoubtedly one of this property's greatest assets. Directly opposite the beautiful gardens of the Calouste Gulbenkian Foundation, the apartment enjoys an exceptional cultural and residential setting, with shops, services, restaurants, and public transport all within easy walking distance, including the São Sebastião and Praça de Espanha metro stations.
A unique opportunity to transform a generously sized apartment into an exceptional residence in one of Lisbon's most sought-after locations. Schedule your viewing today and discover the full potential of this property.
Mortgage Calculator
Property value720 000 €
Monthly Payment (*)2909,81 €
(*) The monthly payment shown is a reference value, based on a variable rate (6-month Euribor), and does not replace a more complete and detailed financial analysis!
The information resulting from these simulations is merely indicative, intended to guide the estimated cost, according to the data provided by the user. Each financial institution has its own financing policies and conditions, and is not bound by the results of this simulation.