Setia Pinnacle

22, Changkat Sungai Ara 6, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

7 subsales found

Median
RM760,000
PSF
RM512
Price Size
Period
transactions middle 50% (P25–P75)
RM825,000
Level 18
1,485 sqft RM555 PSF
RM770,000
Level 26
1,485 sqft RM518 PSF
RM760,000
Level 27
1,485 sqft RM512 PSF
RM770,000
Level 12
1,485 sqft RM518 PSF
RM688,000
Level 12
1,485 sqft RM463 PSF
RM690,000
Level 13
1,485 sqft RM465 PSF
RM748,000
Level 25
1,485 sqft RM504 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM760,000

RM512 psf

Median transaction price

Low

Does SETIA PINNACLE rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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22, Changkat Sungai Ara 6, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Setia Pinnacle in Barat Daya, Penang recorded 7 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM760K and a median price per square foot (PSF) of RM512.

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 RM760K, with most transactions falling within a stable range of RM715K to RM805K, and a typical market range of RM693K to RM825K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM512, with most transactions between RM482 and RM542. The usual range is RM485.14 to RM538.14, showing that most units are priced quite close to each other. With an IQR of RM53.00 and MAD of RM30, 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.