2 BR Apartment in Potamos Germasogeias, Limassol
Potamos Germasogeias, Limassol, Cyprus
Ref · 11443
€785,000
+VAT€7,406/m²
2
Beds
2
Baths
149m²
Area
—
Built
Listed by RealDeal Estates
Verified AnyDoor partner · Lic. 347/E
Response usually within a few hours
About this property
A boutique residential development located in Potamos Germasogeia, Limassol, offering exceptionally large apartments with square meters well above standard market sizes. The project is set just 650 metres from the beach and is designed to provide comfortable, spacious living in a quiet yet highly sought-after residential area.
The development consists of a four-storey building including one-, two-, and three-bedroom apartments, as well as three-bedroom penthouses featuring expansive internal areas and wide, well-balanced layouts. The project comprises six one-bedroom apartments, nine two-bedroom apartments, and three three-bedroom residences in total, offering a well-balanced unit mix.
Key Features:
✔ Outstanding square meters — noticeably larger than typical new developments
✔ Smart, spacious layouts with excellent flow
✔ High ceilings — 3 meters enhancing the sense of space
✔ Elegant, high-quality finishes
✔ Water-based underfloor heating system
✔ Communal swimming pool
✔ Covered parking and private storage rooms
✔ Prime location in a quiet and highly sought-after area
General
- Type
- Apartment
- Stage
- Off-plan
- Furnished
- No
Areas
- Covered area
- 123 m²
- Internal area
- 106 m²
- Total area
- 162.7 m²
Layout
- Bedrooms
- 2
- Bathrooms
- 2
Location
Approximate location. Exact address shared after viewing request.
Side-by-side with up to 4 properties — yields, prices, locations.
Management options
Run it yourself or hand it over.
AnyDoor partners with vetted Cyprus operators for long-let, short-let or hybrid management — included in your investment plan.
Explore managementFractional ownership · Q2 2026
Own a fraction of this property.
Lower entry, same yield, transparent SPV. Notify me when fractional opens for Limassol.
Yield, IRR and scenarios are derived from comparable transactions and 24-month rental data. Read the methodology.