M Vertica

Jalan Bukit Desa 3, Taman Bukit Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM614,000
PSF
RM706
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Serviced Apt
RM645,000
Level 29
850 sqft · RM759 PSF
RM555,000
Level 51
850 sqft · RM653 PSF
RM500,000
Level 47
850 sqft · RM588 PSF
RM698,000
Level 49
850 sqft · RM821 PSF
1,000 sqft
Serviced Apt
RM583,000
Level 14
1,012 sqft · RM576 PSF
RM774,000
Level 18
1,012 sqft · RM765 PSF
Legend Recent Highest Price Highest PSF

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Does RESIDENSI M VERTIKA rent out well?

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

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Jalan Bukit Desa 3, Taman Bukit Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

M Vertica in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2025, with a median price of RM614K and a median price per square foot (PSF) of RM706.

This area contains both residential and commercial properties. View 617 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM614K, with most transactions falling within a stable range of RM523K to RM705K, and a typical market range of RM561K to RM667K.

Most transactions involved serviced apartment, with minimal variety in property types.

The median PSF stands at RM706, with core pricing between RM613 and RM799. Market pricing typically extends from RM681.34 to RM730.34, reflecting moderate variation in unit pricing. With an IQR of RM49.00 and MAD of RM93, 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. 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.