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SGPropertyIntel
ApartmentFreeholdCore Central RegionInvestment score 57

Fifty-Two Stevens

STEVENS ROAD · D10

Median PSF · 12m

S$1,726

Median price · 12m

S$1.41M

Latest sale

S$810K

Aug 2026

1-year change

Sales · 12m

2

5 all time

Gross yield

4.85%

9 leases

Price history

How this development has traded

Median transacted price and price per square foot by quarter, from every sale on record here.

Change over window
+0.6%
Annualised
+0.5%
Transactions
5
1 year
3 years p.a.
-4.3%
5 years p.a.
Median size
495 sqft

Against the neighbourhood

How it compares within D10

Ardmore, Bukit Timah, Holland Road, Tanglin. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureFifty-Two StevensD10 medianDifference
Median PSFS$1,726S$2,225-22.4%
Median priceS$1.41MS$3.16M-55.6%
Gross rental yield4.85%4.12%+0.7 pts
1-year price change+0.6%

This development trades about 22% below the D10 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,350

Contracts · 12m

9

Implied annual rent

S$40K

Gross yield

4.85%

Unit typeContractsMedian rent
1 bedroom8S$3,275
2 bedroom1S$4,100

Investment analysis

Investment score 57 / 100

Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.

57/100

100% of the scoring weight measurable

Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.

  • Rental yieldweight 20%94

    Gross yield against every other development in its segment.

  • Valuationweight 22%84

    How its median price per square foot compares with its own district.

  • Liquidityweight 15%69

    Transactions in the last 12 months — how easily it trades.

  • Supply riskweight 10%42

    Upcoming units recorded in the same district. Higher score means less competing supply.

  • Locationweight 15%22

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Stevens MRT at 850 m.

  • Price momentumweight 18%8

    Three-year annualised change in median PSF, or one year where three is unavailable.

The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.

Location

Nearby amenities

Rail stations

  • Stevens MRT850 m
  • Stevens Interchange MRT850 m
  • Newton MRT1.0 km
  • Orchard MRT1.1 km

Schools within 2 km

  • Singapore Chinese Girls' Schoolsecondary (s1-s4)840 m
  • Anglo-Chinese School (Primary)primary940 m
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)1.0 km
  • St. Joseph'S Institutionmixed level (s1-jc2)1.2 km
  • Anglo-Chinese School (Junior)primary1.4 km
  • Catholic Junior Collegejunior college1.4 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • 21 ANDERSONAnderson International Properties Pte. Ltd/Raffles Legend Properties Pte. Ltd.19 units110 m
  • PARK NOVAShun Tak Cuscaden Residential Pte Ltd54 units1.1 km
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.1 km
  • 32 GILSTEADPeak Vista Pte Ltd14 units1.2 km
  • ENCHANT�Evelyn Pte Ltd25 units1.3 km
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units1.4 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2026ApartmentS$810,000420 sqftS$1,93001-05
Dec 2025ApartmentS$2,000,0001,313 sqftS$1,52301-05
Nov 2023ApartmentS$900,000495 sqftS$1,81801-05
Sep 2023ApartmentS$1,000,000495 sqftS$2,02001-05
Jun 2023ApartmentS$950,000495 sqftS$1,91901-05

Important

Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.