Records through Oct 2026 · latest successful job 10 Oct 2026 · sourced from data.gov.sg, URA, CEA · methodology →

CEA-registered property agent

Cyrus Tan Fei Yu (Cyrus Tan)

PropNex RealtyR069064JRegistered 20 Sept 2023Highly specialised⬆ Top 1% in Serangoon▲ 200% momentum

6 CEA transaction entries from Sep 2024 to Jul 2026.

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CEA entries
6
Last 12 months
4
67% of career
Last transaction
Jul 2026
Avg per quarter
0.5
3 active years

Activity over time

4 CEA entries in Aug 2025–Jul 2026, up 100% vs the previous 12 months

3 active years

Rankings

Where they rank

Overall rank#10,225of 21,064
4 txns
Sales rank#9,208of 21,064
1 txns
Rentals rank#8,184of 21,064
3 txns

Rank by CEA-recorded transaction count among all active agents in the timeframe. Sales excludes rentals.

Property type

Distribution by property category

Last 24 months · n = 5

100.0%
HDB
  • HDB5100.0%

Transaction type

Distribution by transaction category

Full recorded history · n = 6

50.0%
Whole Rental
  • Whole Rental350.0%
  • Room Rental233.3%
  • Resale116.7%

Sales representation

New sale, resale & sub-sale

100.0%
Seller
  • Seller1100.0%
  • Buyer00.0%

Rental representation

Whole rental & room rental

100.0%
Landlord
  • Landlord5100.0%
  • Tenant00.0%

Top neighbourhoods

Where they actually transact, last 60 months

  • SERANGOON
    350.0%
  • TOA PAYOH
    116.7%
  • CLEMENTI
    116.7%
  • ANG MO KIO
    116.7%

Geographic footprint

Where this agent is active

Choose a district to see the agent’s recorded activity there.

Last 24 months

The CEA register has no district-level location for this agent’s recent transactions.

Transaction records

CEA transaction records

Showing 1–6 of 6

DateProperty typeTransaction typeRepresentedLocationDistrict
Jul 2026HDBRoom RentalLandlordSERANGOON—
Jul 2026HDBResaleSellerANG MO KIO—
Jun 2026HDBRoom RentalLandlordSERANGOON—
Mar 2026HDBRentalLandlordSERANGOON—
Jul 2025HDBRentalLandlordTOA PAYOH—
Sep 2024HDBRentalLandlordCLEMENTI—
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Each row is one CEA source entry. Entries with the same month and location remain separate because the public data does not establish that they are the same deal.