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SG Property Intel
Apartment99-yearOutside Central RegionInvestment score 66

The Essence

CHONG KUO ROAD · D26

Median PSF · 12m

S$1,477

Median price · 12m

S$1.08M

Latest sale

S$1.08M

Aug 2026

1-year change

-8.8%

Sales · 12m

7

17 all time

Gross yield

4.15%

5 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
+43.2%
Annualised
+13.9%
Transactions
17
1 year
-8.8%
3 years p.a.
+4.3%
5 years p.a.
+6.5%
Median size
700 sqft

Against the neighbourhood

How it compares within D26

Upper Thomson, Springleaf, Mandai. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureThe EssenceD26 medianDifference
Median PSFS$1,477S$2,347-37.1%
Median priceS$1.08MS$2.30M-53.1%
Gross rental yield4.15%2.61%+1.5 pts
1-year price change-8.8%+6.9%-15.7 pts

This development trades about 37% below the D26 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,600

Contracts · 12m

5

Implied annual rent

S$43K

Gross yield

4.15%

Unit typeContractsMedian rent
2 bedroom4S$3,450
3 bedroom1S$4,700

Investment analysis

Investment score 66 / 100

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

66/100

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.

  • Liquidityweight 15%89

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

  • Valuationweight 22%89

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

  • Rental yieldweight 20%83

    Gross yield against every other development in its segment.

  • Price momentumweight 18%64

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

  • Locationweight 15%33

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Springleaf MRT at 580 m.

  • Supply riskweight 10%4

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

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

  • Springleaf MRT580 m

Supply

Upcoming competition

No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2026ApartmentS$1,080,000700 sqftS$1,54401-0590 yr 5 mo
Jun 2026ApartmentS$1,208,000818 sqftS$1,47701-0590 yr 7 mo
Jun 2026ApartmentS$975,000624 sqftS$1,56201-0590 yr 7 mo
May 2026ApartmentS$1,008,888700 sqftS$1,44201-0590 yr 8 mo
Apr 2026ApartmentS$850,000538 sqftS$1,57901-0590 yr 9 mo
Mar 2026ApartmentS$1,250,0001,001 sqftS$1,24901-0590 yr 10 mo
Jan 2026ApartmentS$1,280,0001,001 sqftS$1,27901-0591 yrs
Sep 2025ApartmentS$1,070,000689 sqftS$1,55301-0591 yr 4 mo
May 2025ApartmentS$1,180,000700 sqftS$1,68701-0591 yr 8 mo
Jul 2024ApartmentS$838,000538 sqftS$1,55701-0592 yr 6 mo
Jul 2024ApartmentS$815,000538 sqftS$1,51401-0592 yr 6 mo
Apr 2024ApartmentS$1,045,000732 sqftS$1,42801-0592 yr 9 mo
Jan 2024ApartmentS$1,340,000818 sqftS$1,63801-0593 yrs
Nov 2023ApartmentS$1,720,0001,389 sqftS$1,23901-0593 yr 2 mo
Nov 2023ApartmentS$1,100,000624 sqftS$1,76201-0593 yr 2 mo
Jun 2023ApartmentS$700,000538 sqftS$1,30101-0593 yr 7 mo
Sep 2021ApartmentS$1,810,0001,679 sqftS$1,07801-0595 yr 4 mo

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.