Majestic Maxim Cheras

Taman Len Seng, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM377,500
PSF
RM515
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM355,000
Level 35
657 sqft · RM541 PSF
800 sqft
Serviced Apt
RM400,000
Level 38
818 sqft · RM489 PSF
Legend Recent Highest Price Highest PSF

Selling in Majestic Maxim Cheras? Homes here sold for a median of RM377,500.

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Market Snapshot

Commercial

RM1,024,000

RM519 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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Majestic Maxim Cheras
© OpenStreetMap · CARTO

Taman Len Seng, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Majestic Maxim Cheras in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2026, with a median price of RM378K and a median price per square foot (PSF) of RM515.

This area contains both residential and commercial properties. View 90 residential properties or 13 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM378K, with most transactions falling within a stable range of RM355K to RM400K, and a typical market range of RM355K to RM400K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM515, with most transactions between RM489 and RM541. The usual range is RM495.00 to RM535.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.00 and an average deviation (MAD) of RM26 indicate a highly stable PSF trend across properties.

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.