Platinum Walk

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM700,000
PSF
RM625
Price Size
Period
transactions middle 50% (P25–P75)
RM1,250,000
Level G
1,109 sqft · RM1,127 PSF
RM800,000
Level 1
1,119 sqft · RM715 PSF
RM600,000
Level 2
1,119 sqft · RM536 PSF
RM500,000
Level 3
1,119 sqft · RM447 PSF
Legend Recent Highest Price Highest PSF

Selling in Platinum Walk? Homes here sold for a median of RM700,000.

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Market Snapshot

Commercial

RM700,000

RM625 psf

Median transaction price

High

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Platinum Walk
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Platinum Walk in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM700K and a median price per square foot (PSF) of RM625.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM700K, with most transactions falling within a stable range of RM500K to RM988K, and a typical market range of RM500K to RM933K.

Most transactions involved 4 - 4 1/2 storey shop, with moderate diversity in property types available.

Price per square foot shows a median of RM625, though individual units vary from RM364 to RM887 in the core range. The broader market spans RM403.81 to RM846.81, indicating diverse property characteristics. A wider spread (IQR: RM443.00) and deviation (MAD: RM261) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.