Sungai Buloh Industrial Park
Sungai Buloh, Selangor, Malaysia
Sungai Buloh, Selangor, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM 2,380,000
|
RM 819
|
2,906 sqft
|
|
Terrace Factory |
|
RM 4,300,000
|
RM 512
|
8,396 sqft
|
|
Semi-D Factory |
|
RM 4,300,000
|
RM 512
|
8,396 sqft
|
|
Semi-D Factory |
|
RM 1,500,000
|
RM 516
|
2,906 sqft
|
|
Terrace Factory |
|
RM 9,200,000
|
RM 1,085
|
8,477 sqft
|
|
|
|
RM 9,150,000
|
RM 1,079
|
8,477 sqft
|
|
|
|
RM 9,000,000
|
RM 1,062
|
8,477 sqft
|
|
|
RM 4,050,000
|
RM 466
|
8,697 sqft
|
|
Semi-D Factory |
|
RM 1,700,000
|
RM 585
|
2,906 sqft
|
|
Terrace Factory |
|
RM 8,450,000
|
RM 574
|
14,725 sqft
|
|
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Market Snapshot
CommercialRM 4,300,000
RM 574 psfMedian transaction price
Sungai Buloh, Selangor, Malaysia
MapsSungai Buloh Industrial Park in Petaling, Selangor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 4.30 million and a median price per square foot (PSF) of RM 585.
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 4.30 million, with most transactions falling within a stable range of RM 1.60 million to RM 7.00 million, and a typical market range of RM 1.50 million to RM 7.64 million.
Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.
The median PSF stands at RM 585, with core pricing between RM 497 and RM 672. Market pricing typically extends from RM 419.32 to RM 750.57, reflecting moderate variation in unit pricing. With an IQR of RM 331.25 and MAD of RM 88, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.