KL Trillion

No 338, Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM1,500,000
PSF
RM1,380
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
Office
RM1,500,000
Level 31
1,066 sqft · RM1,408 PSF
RM1,478,000
Level 7
1,066 sqft · RM1,387 PSF
1,100 sqft
Office
RM1,000,000
Level 12
1,098 sqft · RM911 PSF
1,950 sqft
Office
RM2,703,000
Level 31
1,959 sqft · RM1,380 PSF
3,050 sqft
Office
RM3,200,000
Level 27
3,035 sqft · RM1,054 PSF
Legend Recent Highest Price Highest PSF

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No 338, Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

KL Trillion in Kuala Lumpur, Kuala Lumpur recorded 5 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM1.50 million and a median price per square foot (PSF) of RM1,380.

This area contains both residential and commercial properties. View 3 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.50 million, with most transactions falling within a stable range of RM1.00 million to RM2.33 million, and a typical market range of RM1.00 million to RM2.59 million.

Within the Office Lot category, office lot dominated the market, though some variety exists in the market.

The median PSF stands at RM1,380, with core pricing between RM1,174 and RM1,585. Market pricing typically extends from RM1,273.64 to RM1,485.89, reflecting moderate variation in unit pricing. With an IQR of RM212.25 and MAD of RM206, 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.