Seri Cendekia Condo

Jalan 4/124, Taman Connaught, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 2,200,000
PSF
RM 828
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Shop
RM 1,500,000
Level G
1,216 sqft · RM 1,234 PSF
5,450 sqft
3-Sty Shop
RM 4,500,000
Jalan Cerdas
5,436 sqft · RM 828 PSF
RM 2,200,000
Jalan Cerdas
5,436 sqft · RM 405 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 2,200,000

RM 828 psf

Median transaction price

Taman Connaught (Taman Sri Cendikia)
© OpenStreetMap · CARTO

Seri Cendekia Condo, Jalan 4/124, Taman Connaught, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Seri Cendekia Condo in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2025, with a median price of RM 2.20 million and a median price per square foot (PSF) of RM 828.

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 RM 2.20 million, with most transactions falling within a stable range of RM 1.50 million to RM 3.48 million, and a typical market range of RM 1.51 million to RM 2.89 million.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

Price per square foot shows a median of RM 828, though individual units vary from RM 489 to RM 1,166 in the core range. The broader market spans RM 426.35 to RM 1,229.35, indicating diverse property characteristics. A wider spread (IQR: RM 803.00) and deviation (MAD: RM 338) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.