Lekas Teknologi Park

Ground Floor, Plaza Semenyih Sentral, Jalan Semenyih 3, Semenyih Sentral, 43500 Semenyih, Selangor, Taman Semenyih Sentral, 43500 Semenyih, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM2,875,000
PSF
RM325
Price Size
Period
transactions middle 50% (P25–P75)
RM3,300,000
Jalan Besi 1/2
8,844 sqft RM373 PSF
RM2,450,000
Off Jalan Bangi Lama
8,844 sqft RM277 PSF
Legend Recent Highest Price Highest PSF

Selling in Lekas Teknologi Park? Homes here sold for a median of RM2,875,000.

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Market Snapshot

Commercial

RM2,875,000

RM325 psf

Median transaction price

Lekas Teknologi Park
© OpenStreetMap · CARTO

Ground Floor, Plaza Semenyih Sentral, Jalan Semenyih 3, Semenyih Sentral, 43500 Semenyih, Selangor, Taman Semenyih Sentral, 43500 Semenyih, Selangor, Malaysia

Maps

Lekas Teknologi Park in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 8,825 and 8,874 sqft, with a median price of RM2.88 million and a median price per square foot (PSF) of RM325.

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 RM2.88 million, with most transactions falling within a stable range of RM2.45 million to RM3.30 million, and a typical market range of RM2.51 million to RM3.24 million.

Most transactions involved semi-detached factory/warehouse, with minimal variety in property types.

The median PSF stands at RM325, with core pricing between RM277 and RM373. Market pricing typically extends from RM298.15 to RM351.90, reflecting moderate variation in unit pricing. With an IQR of RM53.75 and MAD of RM48, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.