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SGPropertyIntel
Apartment999-yearRest of Central RegionInvestment score 62

Vetro

MAR THOMA ROAD · D12

Median PSF · 12m

S$1,275

Median price · 12m

S$770K

Latest sale

S$775K

Jul 2026

1-year change

-14.8%

Sales · 12m

2

12 all time

Gross yield

4.17%

3 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
-22.5%
Annualised
-9.7%
Transactions
12
1 year
-14.8%
3 years p.a.
-2.3%
5 years p.a.
+1.1%
Median size
614 sqft

Against the neighbourhood

How it compares within D12

Balestier, Toa Payoh, Serangoon. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureVetroD12 medianDifference
Median PSFS$1,275S$1,748-27.1%
Median priceS$770KS$1.50M-48.7%
Gross rental yield4.17%3.73%+0.4 pts
1-year price change-14.8%+2.3%-17.1 pts

This development trades about 27% below the D12 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,200

Contracts · 12m

3

Implied annual rent

S$38K

Gross yield

4.17%

Unit typeContractsMedian rent
2 bedroom2S$3,400
1 bedroom1S$2,500

Investment analysis

Investment score 62 / 100

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

62/100

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.

  • 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.

  • Liquidityweight 15%69

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

  • Supply riskweight 10%65

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

  • Locationweight 15%41

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Potong Pasir MRT at 830 m.

  • Price momentumweight 18%12

    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

  • Potong Pasir MRT830 m
  • Boon Keng MRT1.0 km
  • Geylang Bahru MRT1.2 km
  • Woodleigh MRT1.5 km

Schools within 2 km

  • Bendemeer Secondary Schoolsecondary (s1-s5)400 m
  • St Andrew'S School (Junior)primary480 m
  • St Andrew'S School (Secondary)secondary (s1-s5)510 m
  • St Andrew'S Junior Collegejunior college590 m
  • Bendemeer Primary Schoolprimary730 m
  • Hong Wen Schoolprimary880 m

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

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
Jul 2026ApartmentS$775,000829 sqftS$93516-20
Apr 2026ApartmentS$765,000474 sqftS$1,61516-20
Sep 2025ApartmentS$938,000614 sqftS$1,52911-15
Jul 2025ApartmentS$918,000614 sqftS$1,49611-15
Mar 2025ApartmentS$900,000614 sqftS$1,46706-10
Aug 2024ApartmentS$900,000614 sqftS$1,46706-10
Jan 2024ApartmentS$658,000474 sqftS$1,38906-10
Jun 2023ApartmentS$840,000614 sqftS$1,36906-10
May 2022ApartmentS$838,800614 sqftS$1,36711-15
Nov 2021ApartmentS$725,000614 sqftS$1,18201-05
Nov 2021ApartmentS$645,000474 sqftS$1,36216-20
Sep 2021ApartmentS$739,800614 sqftS$1,20601-05

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.