Fortune Square

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM1,640,000
PSF
RM1,366
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Shop
RM1,480,000
Level G
1,195 sqft · RM1,239 PSF
RM1,800,000
Level G
1,206 sqft · RM1,493 PSF
Legend Recent Highest Price Highest PSF

Selling in Fortune Square? Homes here sold for a median of RM1,640,000.

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Market Snapshot

Commercial

RM1,640,000

RM1,366 psf

Median transaction price

Average

Does FORTUNE SQUARE rent out well?

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

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Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Fortune Square in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM1.64 million and a median price per square foot (PSF) of RM1,366.

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 RM1.64 million, with most transactions falling within a stable range of RM1.48 million to RM1.80 million, and a typical market range of RM1.48 million to RM1.80 million.

Most transactions involved office lot, with high diversity across multiple property types.

For price per square foot, the median is RM1,366, with most transactions between RM1,239 and RM1,493. The usual range is RM955.65 to RM1,776.15, showing that most units are priced quite close to each other. With an IQR of RM820.50 and MAD of RM127, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.