Glenmarie Industrial Park

jalan penerbit u1/43, kawasan perindustrian temasya, Hicom-glenmarie Industrial Park, 40150 Shah Alam, Selangor, Malaysia

Property Transactions

4 subsales found · 2-Sty Terrace →

Median
RM 1,230,000
PSF
RM 522
Price Size
RM 1,230,000
Jalan Novelis U1/90C
2,357 sqft RM 522 PSF
RM 1,300,000
Jalan Novelis U1/90B
2,325 sqft RM 559 PSF
RM 1,230,000
Jalan U1 (Laman Glenmarie 2)
2,357 sqft RM 522 PSF
RM 1,050,000
Jalan Novelis U1/87A
2,336 sqft RM 450 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 1,230,000

RM 522 psf

Median transaction price

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jalan penerbit u1/43, kawasan perindustrian temasya, Hicom-glenmarie Industrial Park, 40150 Shah Alam, Selangor, Malaysia

Maps

Glenmarie Industrial Park in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 2,325 and 2,374 sqft, with a median price of RM 1.23 million and a median price per square foot (PSF) of RM 522.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.23 million, with most transactions falling within a stable range of RM 1.14 million to RM 1.30 million, and a typical market range of RM 1.05 million to RM 1.30 million.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM 522, with most transactions between RM 482 and RM 562. The usual range is RM 433.53 to RM 610.03, showing that most units are priced quite close to each other. With an IQR of RM 176.50 and MAD of RM 40, 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.