London retail units: is energy performance driving the discount spread?

[makeTheCanvas]

I’m comparing London retail units advertised from £705,100 to £1,058,000. The headline market movement is -1.3% and listings are taking about 64 days, but neither figure seems very useful for the two neighbourhoods we like.

My decision is whether lower-condition units represent negotiable value or should simply be excluded. Discounts appear to change sharply with condition, and my working theory is that energy performance explains more of the spread than headline demand. Does that hold up elsewhere in the United Kingdom? If possible, please identify the neighbourhood and type of unit you are comparing.

 

[kian_roofs]

I wouldn’t attribute the spread to energy performance yet. Does the 64-day figure include withdrawn and relisted stock, and is the 1.3% movement in asking prices or completed prices? Also, which two neighbourhoods? Their boundaries matter. Vacant shops and income-producing units in the same price band can attract different buyers and financing, so combining them could conceal the real pattern.

 

[makeTheCanvas]

Fair questions. The 1.3% is the headline movement, not the negotiated discount, while 64 days is the listing average. I also haven’t yet separated withdrawn or relisted units, and the neighbourhood boundaries are part of the problem—agents describe nearby units differently. I’ll split vacant from income-producing stock before drawing any conclusion about energy performance.

 

[celine_keys]

I’d build two fixed neighbourhood areas rather than rely on agents’ labels. For each unit, record first appearance, price cuts, withdrawal or completion, condition, energy performance and occupancy. Then compare recent completed sales with the new-listing volume inside each area. That should reveal whether 64 days reflects genuine buyer resistance or simply stale stock being recycled.

 

[kian_roofs]

That method is better, but condition and energy performance still won’t be cleanly separable. A unit needing substantial work may also have weaker energy performance, so the apparent energy discount could really be a broader refurbishment allowance. Seller motivation and the timing of the first price cut may explain more than either. I’d also keep buyer financing in view at this price level.

 

[calm_chart]

For the immediate shortlist, ask for evidence of recent completed sales rather than accepting the citywide average. Keep withdrawn units in a separate column instead of deleting them; repeated withdrawals can show where asking prices failed to meet demand. After splitting the two neighbourhoods and occupancy types, compare price cuts made early with those made only after roughly 64 days. That should test the seller-motivation point without assuming the -1.3% figure applies locally.