Solaris Dutamas

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

Property Transactions

2 subsales found

Median
RM2,134,000
PSF
RM861
Price Size
Period
transactions middle 50% (P25–P75)
RM1,968,000
Level 3
2,605 sqft RM756 PSF
RM2,300,000
Level 1
2,379 sqft RM967 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM2,134,000

RM861 psf

Median transaction price

Average

Does SOLARIS DUTAMAS 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

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List AI Investment Analysis. High-Yielding Integrated Hub Facing Traffic And Ageing Headwinds

Solaris Dutamas in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 2,000 and 5,000 sqft, with a median price of RM2.13 million and a median price per square foot (PSF) of RM861.

This area contains both residential and commercial properties. View 56 residential properties or 96 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.13 million, with most transactions falling within a stable range of RM1.97 million to RM2.30 million, and a typical market range of RM1.97 million to RM2.30 million.

Most transactions involved office lot, with moderate diversity in property types available.

The median PSF stands at RM861, with core pricing between RM756 and RM967. Market pricing typically extends from RM779.44 to RM942.94, reflecting moderate variation in unit pricing. With an IQR of RM163.50 and MAD of RM106, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.