Large 2BR · Chiller Free · Open House 6th June

The unit is a ready‑to‑move‑in 1,194 sq ft apartment in Al Furjan, listed at AED 1,611,237 (USD 439,029) which translates to AED 1,349 per sq ft. Internal scoring assigns an overall rating of 62, a location score of 70 and a gross yield estimate of 7.3%, indicating a property that is competitively priced in a mid‑tier growth corridor. The -2% price‑vs‑market metric confirms the listing is slightly underpriced relative to the district median of roughly AED 1,377 per sq ft. The gross yield of 7.3% is attractive in Dubai’s residential market, where typical gross yields hover around 5‑6%. After accounting for service charges, vacancy and management fees (usually 1‑2 percentage points), the net yield is likely to sit in the 5.3‑6.3% range, which remains respectable for a secondary‑tier area. The short days‑on‑market (1 day) suggests the seller may be motivated to close quickly, providing a negotiation lever. Risks stem mainly from the developer, Artha Realty, which lacks a long‑track record in large‑scale projects, and from the relatively thin liquidity profile of Al Furjan, where transaction volumes are modest. The internal risk index of 32 flags moderate exposure, and the absence of a robust comparable sample (sampleSize = 0) limits confidence in the price positioning. Investors should therefore verify the transaction history via the DLD register and factor potential service‑charge escalations into their cash‑flow models.

Confirm the unit’s exact transaction history in the Dubai Land Department register before committing. Use the -2% price‑vs‑market gap and the fact the property has been listed for only one day to justify an opening offer around 3% below the asking price (≈AED 1,560,000), leaving room to settle at the current list or slightly lower if the seller shows urgency.

Due to insufficient recent listing data, the outlook for Al Furjan remains uncertain. As a result, it's challenging to predict trends or sentiment with confidence. Further data is required to assess the sub-market's performance accurately.