The Very Group reported record adjusted earnings Oct. 22 while annual revenue stayed broadly flat, putting a sharper question in front of retail leaders: Is the business selling more, or becoming better at earning from the customers and categories it already serves?
The owner of Very and Littlewoods reported adjusted EBITDA before securitization interest of £317.5 million, up 3.4%, for the 52 weeks ended June 27, 2026. Group revenue was £2.09 billion, broadly unchanged. Its corresponding adjusted EBITDA margin rose to 15.2% from 14.7%, according to the company’s results announcement.
Those are reported results. The analysis here is that Very’s performance makes a stronger case for examining customer economics and operating execution than for declaring a broad-based revival in consumer demand. Its separate, more recent AI-personalization announcement belongs in that discussion, but should not be mistaken for an explanation of an earlier financial year.
Category mix matters more than the headline alone
The results show uneven demand. Home sales increased 6.4%, and toys and beauty grew 3.2%. Combined fashion and sports sales fell 4.6%; electricals declined 0.4%. TheIndustry.fashion’s Oct. 23 coverage also highlighted that contrast between record adjusted earnings and weaker fashion sales.
For a marketing or merchandising team, that mix changes the useful question. A stable total can conceal categories gaining relevance alongside others losing momentum. Increasing promotional pressure across the entire assortment would treat those different conditions as one problem. A more discriminating response would examine which categories attract repeat purchases, which require discounts and which create costly returns.
The published category figures do not establish the answers to those questions. They do establish why a group-level revenue figure is an incomplete guide to where a retailer should put its next merchandising or customer-acquisition effort. Growth and contraction are occurring inside the same business at the same time.
Retail and finance cannot be read as one sales signal
Very Finance revenue rose 7.1% to £464.5 million against the backdrop of broadly flat group revenue. The company attributed its earnings improvement to higher-margin retail sales, finance and cost management. That is a combination of activities, not evidence that merchandise demand accelerated at the same rate as earnings.
The distinction also applies to the profit measure. Very’s record headline is adjusted EBITDA before securitization interest, not net profit. Its reported adjusted EBITDA margin after that interest was 10.2%. Keeping the measure’s full name attached to the result prevents an attractive number from becoming a different claim as it moves through presentations and headlines.
For customer-experience leaders, the operational implication is to connect improvements to the part of the business they actually affect. Better product discovery, a more convenient return and a payment choice are different interventions. Combining their outcomes into a single success story can make it difficult to identify which experience merits further investment.
A new platform enables experiments; it does not prove their value
Very said more than 95% of customer traffic had moved to its cloud-based Skyscape platform by year-end, with migration completed shortly afterward. Separately, it reported a Net Promoter Score of 43.9, up 1.6 points. Those are useful indicators of technology progress and customer feedback, but they do not isolate either initiative’s contribution to earnings.
On Oct. 5, Very announced a partnership with Made With Intent to use behavioral signals to tailor offers and prompts during shopping. The company described early commercial improvements in one agentic strategy. The announcement did not present a business-wide, independently verified return on the program.
Chronology is especially important here. The annual reporting period ended in June; the partnership announcement arrived in October. The disclosures do not establish that the newly described program caused the full-year earnings increase. Treating them as separate evidence allows a useful assessment of the next phase without retrofitting a fashionable AI explanation onto historical results.
The next test is profitable relevance
A personalization program needs a more demanding scorecard than whether a visitor clicks or buys immediately. As an operational evaluation, a retailer could compare incremental orders with discount expense, returns, repeat purchasing and the cost of serving the customer. Where possible, comparable customer groups should distinguish an intervention’s effect from purchases that would have happened anyway.
That approach would also keep a narrow successful strategy from being presented as proof that every customer should receive the same treatment. An offer can be effective in one context without becoming the right default for the entire audience.
Very’s results show that earnings can improve without a large increase in overall revenue. They do not settle which individual customer-experience changes produced that improvement. For retail executives, the useful lesson is to preserve that distinction: operating discipline is demonstrated in the reported outcome, while the case for the next technology investment still needs its own evidence.