SUNGAI PENAGA
Commercial Market
Median Price
RM 7,000,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Terraced Factory
17 properties
Median Price
RM 2,375,000
+4.6% CAGR
Median PSF
RM 431.00
+14.2% CAGR
Detached Factory
12 properties
Median Price
RM 1,950,000
-61.5% CAGR
Median PSF
RM 362.00
-8.5% CAGR
Semi-D Factory
2 properties
Median Price
RM 6,500,000
Median PSF
RM 499.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Terraced Factory | 17 |
RM 2,375,000
±1,583K MAD
|
+4.55% |
RM 431.00
±89 MAD
|
+14.15% | |
| Detached Factory | 12 |
RM 1,950,000
±75K MAD
|
-61.53% |
RM 362.00
±1 MAD
|
-8.51% | |
| Semi-D Factory | 2 |
RM 6,500,000
|
- |
RM 499.00
|
- |
SUNGAI PENAGA in Petaling, Selangor recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 8.20 million and a median price per square foot (PSF) of RM 425.
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 8.20 million, with most transactions falling within a stable range of RM 1.20 million to RM 15.20 million, and a typical market range of RM -2,900,000 to RM 19.30 million.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM 425, though individual units vary from RM 218 to RM 632 in the core range. The broader market spans RM 239.00 to RM 611.00, indicating diverse property characteristics. A wider spread (IQR: RM 372.00) and deviation (MAD: RM 207) 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.