Residential Apartments
PENHAS ROAD · D08
Median PSF · 12m
S$1,364
Median price · 12m
S$1.60M
Latest sale
S$1.60M
May 2026
1-year change
—
Sales · 12m
2
2 all time
Gross yield
—
no rental data
Price history
How this development has traded
Median transacted price and price per square foot by quarter, from every sale on record here.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 1,173 sqft
Against the neighbourhood
How it compares within D08
Little India, Farrer Park, Jalan Besar. All figures are medians over the last 12 months for private homes in this district.
| Measure | Residential Apartments | D08 median | Difference |
|---|---|---|---|
| Median PSF | S$1,364 | S$1,786 | -23.6% |
| Median price | S$1.60M | S$1.64M | -2.3% |
| Gross rental yield | — | 4.00% | — |
| 1-year price change | — | +1.5% | — |
This development trades about 24% below the D08 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
No rental contracts have been recorded here in the last 12 months, so a yield cannot be measured for this development.
Investment analysis
Investment score 78 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
78/100
62% 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.
- Supply riskweight 10%92
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%86
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.
- Locationweight 15%64
Distance to the nearest rail station, plus schools within 1 km. Nearest is Lavender MRT at 220 m.
- Rental yieldweight 20%not measurable
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 rental yield, 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
- Lavender MRT220 m
- Bendemeer MRT480 m
- Jalan Besar MRT1.0 km
- Farrer Park MRT1.0 km
Schools within 2 km
- Northlight Schoolsecondary (s1-s4)1.3 km
- Farrer Park Primary Schoolprimary1.4 km
- Bendemeer Primary Schoolprimary1.4 km
- Hong Wen Schoolprimary1.5 km
- Bendemeer Secondary Schoolsecondary (s1-s5)1.7 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.2 km
- ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units2.0 km
High upcoming supply nearby may increase competition for tenants and buyers.
The record
Transactions at this development
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| May 2026 | Apartment | S$1,600,000 | 1,173 sqft | S$1,364 | 01-05 | — |
| Apr 2026 | Apartment | S$1,600,000 | 1,173 sqft | S$1,364 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Citylights
S$2,022
+3.8%18 sales4.6% yield
Cavan Suites
S$1,803
+1.8%1 sales4.0% yield
The Riverine By The Park
S$2,119
+5.1%2 sales3.8% yield
Residential Apartments
S$1,493
—2 sales
Tyrwhitt 139
S$1,824
+20.7%1 sales4.1% yield
Kallang Riverside
S$2,413
+5.4%7 sales3.3% yield
Hoa Nam Building
S$1,446
+6.4%1 sales3.3% yield
Le Somme
S$1,605
+3.4%1 sales5.0% yield
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.