88 Beauchamp Dr, The Ponds NSW 2769
Property features as at 11 June 2026. If the property has been renovated or altered, features may be different for sales before or after this date.
Technical details
How this sale compares
Sold for $1,520,000 in May 2026, down $29,990 (2%) on the $1,549,990 paid in Sep 2021. That is a fall of about 0.4% a year over 4.7 years.
Over the same period the median house price in The Ponds rose 14%, from $1,340,000 in 2021 to $1,525,000 in 2026.
The 2026 sale was in line with the The Ponds median house price for that year ($1,525,000 across 110 sales).
At $5,060 per square metre of land, it compares with a The Ponds median of $4,126 per square metre over the last 12 months.
The Ponds medians use NSW Valuer General sales of $50,000 or more, leaving out part-interest transfers and contracts covering several properties, and need at least 10 sales in the period. See The Ponds sold prices by year.
Rent and yield
Houses with 5 or more bedrooms in postcode 2769 rented for a median $1,055 a week, from 62 bonds lodged Oct 2025 to Sep 2026.
On its last sale of $1,520,000 on 27 May 2026, that rent is a gross yield of 3.6% a year, before costs and vacancies.
Median weekly rents from residential rental bonds lodged with NSW Fair Trading, by postcode and bedroom count. This home's own rent may differ. See rents by bedrooms in The Ponds.
Planning controls
- Zone
- R2 Low Density Residential
- Maximum building height
- 9 m
From the State Environmental Planning Policy (Precincts—Central River City) 2021 maps on the NSW Planning Portal, looked up at this address's map point on 22 Oct 2026. A control can cover only part of a site and plans change, so the council's planning certificate is the formal record. Planning data from the NSW Department of Planning, Housing and Infrastructure, CC BY 4.0.
Related sales
Sale history
Sold is the contract date, when the sale was agreed. Settled is the date ownership transferred.
| Beds | Baths | Cars | Title reference | |||
|---|---|---|---|---|---|---|
| 27 May 2026 | 10 Jul 2026 | $1,520,000 Property features as at 11 June 2026. If the property has been renovated or altered, features may be different for sales before or after this date. | 5 | 3 | 2 | 39/1229457 |
| 28 Sep 2021 | 9 Nov 2021 | $1,549,990 | - | - | - | 39/1229457 |
Property features as at 11 June 2026. If the property has been renovated or altered, features may be different for sales before or after this date.
Title reference: 39/1229457
Title reference: 39/1229457
Recent sales on Beauchamp Dr
Sold in the last two years.
- 16 Beauchamp Dr, The Ponds 2769 $1,680,000 sold 25 Jul 2026, 375 m²
- 44 Beauchamp Dr, The Ponds 2769 $2,075,000 sold 7 Apr 2026, 375 m²
- 59 Beauchamp Dr, The Ponds 2769 $1,530,000 sold 25 Feb 2026, 368 m²
- 18 Beauchamp Drive, The Ponds 2769 $1,628,000 sold 19 Nov 2025, 362 m²
- 98 Beauchamp Drive, The Ponds 2769 $1,607,000 sold 23 Oct 2025, 300 m²
- 144 Beauchamp Drive, The Ponds 2769 $1,435,000 sold 17 Oct 2025, 262 m²
- 61 Beauchamp Drive, The Ponds 2769 $1,460,000 sold 30 Sep 2025, 451 m²
- 37 Beauchamp Drive, The Ponds 2769 $1,525,000 sold 5 Sep 2025, 288 m²
Recent sales nearby
Sold in the last 12 months within about 400 metres.
- 15 Dorcas Gld, Schofields 2762 $965,000 sold 24 Sep 2026, 2.8 ha
- 15 Mountain St, The Ponds 2769 $1,450,000 sold 25 Aug 2026, 402 m²
- 70 Mountain St, The Ponds 2769 $1,350,000 sold 24 Aug 2026, 251 m²
- 61 Megalong St, The Ponds 2769 $1,310,000 sold 20 Aug 2026, 300 m²
- 25 Glenbrook St, The Ponds 2769 $1,468,000 sold 17 Aug 2026, 311 m²
- 3 Magnolia Gr, Schofields 2762 $1,445,000 sold 7 Aug 2026, 515 m²
- 71 Ficus St, The Ponds 2769 $1,260,000 sold 7 Aug 2026, 348 m²
- 58 Megalong St, The Ponds 2769 $1,166,000 sold 5 Aug 2026, 280 m²
Feature data history (beds/baths/cars)
Multiple records here can indicate updates over time (renovations, corrected data, or source conflicts). This section loads when opened.
| Observed | Effective | Beds | Baths | Cars | Active |
|---|---|---|---|---|---|
| Open this section to load feature observations. | |||||
Open this section to load feature observations.