Wisma Stephens / Wisma Cosway

67, Jalan Raja Chulan, Bukit Ceylon, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM935,000
PSF
RM571
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Serviced Apt
RM1,000,000
Level 25
1,528 sqft · RM654 PSF
1,650 sqft
Serviced Apt
RM935,000
Level 24
1,636 sqft · RM571 PSF
1,800 sqft
Serviced Apt
RM925,000
Level 26
1,808 sqft · RM512 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM287,500

RM612 psf

Median transaction price

Wisma Stephens / Wisma Cosway
© OpenStreetMap · CARTO

67, Jalan Raja Chulan, Bukit Ceylon, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wisma Stephens / Wisma Cosway in Kuala Lumpur, Kuala Lumpur recorded 3 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM935K and a median price per square foot (PSF) of RM571.

This area contains both residential and commercial properties. View 3 residential properties or 14 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM935K, with most transactions falling within a stable range of RM925K to RM968K, and a typical market range of RM925K to RM1.00 million.

Within the Serviced Apt category, office lot dominated the market, with moderate diversity in property types available.

The median PSF stands at RM571, with core pricing between RM513 and RM630. Market pricing typically extends from RM416.48 to RM726.48, reflecting moderate variation in unit pricing. With an IQR of RM310.00 and MAD of RM58, 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.