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SG Property Intel
Strata TerraceFreeholdCore Central RegionInvestment score 64

Gilstead Brooks

GILSTEAD ROAD · D11

Median PSF · 12m

S$1,264

Median price · 12m

S$4.83M

Latest sale

S$4.83M

Feb 2026

1-year change

Sales · 12m

1

3 all time

Gross yield

2.21%

2 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
+12.2%
Annualised
+16.6%
Transactions
3
1 year
3 years p.a.
5 years p.a.
Median size
3,122 sqft

Against the neighbourhood

How it compares within D11

Watten Estate, Novena, Thomson. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureGilstead BrooksD11 medianDifference
Median PSFS$1,264S$2,049-38.3%
Median priceS$4.83MS$2.40M+101.2%
Gross rental yield2.21%3.83%-1.6 pts
1-year price change+0.9%

This development trades about 38% below the D11 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$10,300

Contracts · 12m

2

Implied annual rent

S$124K

Gross yield

2.21%

Unit typeContractsMedian rent
All units2S$10,300

Investment analysis

Investment score 64 / 100

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

64/100

82% 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.

  • Valuationweight 22%98

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

  • Supply riskweight 10%77

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

  • Locationweight 15%65

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Newton MRT at 510 m.

  • Liquidityweight 15%56

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

  • Rental yieldweight 20%26

    Gross yield against every other development in its segment.

  • Price momentumweight 18%not measurable

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

Not enough data to score price momentum.

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

  • Newton MRT510 m
  • Novena MRT660 m
  • Mount Pleasant MRT1.3 km
  • Stevens Interchange MRT1.5 km

Schools within 2 km

  • Anglo-Chinese School (Primary)primary380 m
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)430 m
  • St. Joseph'S Institution Juniorprimary750 m
  • Anglo-Chinese School (Junior)primary910 m
  • Catholic Junior Collegejunior college910 m
  • Singapore Chinese Girls' Schoolsecondary (s1-s4)1.2 km

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

Supply

Upcoming competition

  • 32 GILSTEADPeak Vista Pte Ltd14 units30 m
  • ENCHANT�Evelyn Pte Ltd25 units230 m
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units300 m
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units330 m
  • 21 ANDERSONAnderson International Properties Pte. Ltd/Raffles Legend Properties Pte. Ltd.19 units1.3 km
  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.7 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Feb 2026Strata Semi-detachedS$4,828,8883,821 sqftS$1,26401-05
Aug 2024Strata TerraceS$3,950,0002,992 sqftS$1,32001-05
Oct 2021Strata TerraceS$3,515,0003,122 sqftS$1,12601-05

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.