Kompleks Permaisuri Q

6, Jalan Sri Permaisuri, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM1,479,000
PSF
RM851
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Office
RM1,717,000
Level G
1,594 sqft · RM1,077 PSF
2,000 sqft
Office
RM1,241,000
Level UG
1,983 sqft · RM626 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM1,479,000

RM851 psf

Median transaction price

Kompleks Permaisuri Q
© OpenStreetMap · CARTO

Kompleks Permaisuri Q, 6, Jalan Sri Permaisuri, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Kompleks Permaisuri Q in Kuala Lumpur, Kuala Lumpur recorded 2 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM1.48 million and a median price per square foot (PSF) of RM851.

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 RM1.48 million, with most transactions falling within a stable range of RM1.24 million to RM1.72 million, and a typical market range of RM1.47 million to RM1.49 million.

Within the Office Lot category, soho/sofo/sovo dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM851, though individual units vary from RM626 to RM1,077 in the core range. The broader market spans RM789.94 to RM912.94, indicating diverse property characteristics. A wider spread (IQR: RM123.00) and deviation (MAD: RM226) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.