Glenmarie Industrial Park

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

Property Transactions

5 subsales found · 2-Sty Terrace →

Median
RM 1,550,000
PSF
RM 527
Price Size
RM 1,300,000
Jalan U1/61A
2,939 sqft RM 442 PSF
RM 1,850,000
Jalan U1/61A
2,939 sqft RM 630 PSF
RM 1,550,000
Jalan U1/61A
2,939 sqft RM 527 PSF
RM 1,480,000
Jalan Jurubina U1/61A
2,939 sqft RM 504 PSF
RM 1,660,000
Jalan Jurubina U1/61A
2,939 sqft RM 565 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 1,550,000

RM 527 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 5 subsale transactions between 2021 and 2026, sized between 2,925 and 2,974 sqft, with a median price of RM 1.55 million and a median price per square foot (PSF) of RM 527.

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 1.55 million, with most transactions falling within a stable range of RM 1.37 million to RM 1.73 million, and a typical market range of RM 1.30 million to RM 1.85 million.

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

The median PSF stands at RM 527, with core pricing between RM 465 and RM 590. Market pricing typically extends from RM 439.22 to RM 615.72, reflecting moderate variation in unit pricing. With an IQR of RM 176.50 and MAD of RM 62, 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.