Wall Street's Tailors Are Overbooked. Retail Should Be Worried.

Michael Andrews has been dressing Wall Street for two decades, and as he told Business Insider, he learned early to disregard clients who announced they were getting in shape. Weddings were the only reliable predictor.

In 2020 that broke once. Client dinners stopped, drinking slowed, and he took suits in roughly ten times as often as he let them out. The ratio normalised over the following years. Then in 2025 it broke again and did not come back: 192 requests to take garments significantly smaller against 17 to enlarge them. Eleven to one, more than double the previous year's take-ins and five times the pandemic spike.

His response was not sartorial. It was operational. He added two tailors to a five-person team.

"We've had dozens of clients bring back entire wardrobes," Andrews told Business Insider, describing individual clients returning twenty to forty pieces at a time.

Alan Horowitz, who dresses clients at Blackstone, BlackRock and Morgan Stanley among other institutions, offers free lifetime alterations. Historically around 2.5 percent of clients ever used it, generally for substantial adjustments. In 2025 that figure was 16 percent, overwhelmingly take-ins. He told Business Insider the medications have had a "dramatic impact on our business." The average chest measurement across his client base fell by roughly an inch and a half between 2023 and 2025.

Jonathan Sigmon, who took over Alan Flusser Custom when its founder retired, told the same publication he handled around 30 percent more alterations in 2025 than 2024, and roughly double the 2023 volume. Mostly take-ins.

All three sets of figures come from Business Insider's reporting.

Three shops. Three sets of books. One direction.

The consumer story is the small story

It is a good anecdote and it has been reported as one: bankers are shrinking, tailors are busy, the Ozempic era has reached Savile Row's American cousins.

The version that matters commercially is upstream of the fitting room, and it is a forecasting problem.

Circana put United States household usage of GLP-1 medications at 23 percent as of September 2025, up four percentage points in a year. Around 80 percent of users anticipate needing new clothing because their size is changing, and 55 percent have already bought clothing or footwear primarily for that reason.

The bespoke trade absorbs this comfortably, because bespoke is made to order against a measurement taken that week. A tailor with a longer waiting list is a tailor with a better year.

Mass apparel does not work that way. Brands plan twelve to eighteen months ahead. Size curves, the proportional mix of sizes ordered within a style, are built from historical sales. Fit blocks are fixed. There is no fast loop from what is happening in fitting rooms back into what was ordered last spring, which means the first place a wrong size curve becomes visible is in returns data and clearance rates, by which point the goods are already made and paid for.

That is the exposure. One industry estimate puts as many as 400 million apparel units potentially misaligned with actual demand by 2027, with up to 5 billion dollars of margin impact through excess inventory, returns and markdowns.

What the early data already shows

The signal appeared first in the categories where fit is least forgiving.

In intimates, larger band and cup sizes have been losing share while mid-range and smaller sizes gain. Circana treats bra sizing as a leading indicator likely to carry into other categories, and plus-size women's apparel has been ceding share to sizes around 12 and under, reversing the direction of the preceding period.

The effect is concentrated enough to appear in individual companies' results. Destination XL, the big and tall menswear specialist, has reported considerable volatility, with chief executive Harvey Kanter estimating on a March earnings call that as much as a quarter of its customer base uses the medications, and that the impact on the business exceeded expectations.

There is a second-order effect that cuts the other way and is easy to miss. Households in their first year of use bought more active shorts, jeans, casual pants and dresses, which Circana attributes to changing routines and confidence as much as to sizing. Comparing active users against non-users, dollar sales ran higher across jeans, outerwear and notably sweatpants.

So the aggregate demand picture is not simply negative. One estimate suggests wardrobe replacement on this scale could translate into somewhere between 150 million and 700 million additional apparel items purchased, a one to four percent lift in total United States unit volume.

The problem is not the volume. It is that the volume arrives in a different size distribution than the one the goods were cut to.

Why this is not a normal demand shift

Apparel has always absorbed body composition changing gradually across a population. Size curves drift a fraction of a point a year and planning systems handle it.

Two features make this different.

The first is speed. Individual size change is happening across months rather than decades, and it is happening to a meaningful share of a customer base simultaneously. Planning cycles built for drift do not accommodate step changes.

The second is reversibility, and it is the one most retail commentary has skipped. A systematic review and meta-analysis published in the BMJ examined weight regain following cessation of weight-management medication. Discontinuation is common, for reasons ranging from cost to tolerability to supply, and the direction of travel after discontinuation is generally back toward the starting point.

Which means a planner facing this is not being asked to shift a size curve. They are being asked to shift it, hold it, and possibly shift part of it back, on a timeline nobody can specify.

Circana's apparel advisor Kristen Classi-Zummo, in a statement accompanying the firm's research, frames the change as one where "size is changing, but so is identity", and argues brands need to plan for the emotional dimension alongside the physical. That is right about consumer behaviour. Commercially, the identity piece is what makes the transition unusually lucrative and the reversion unusually awkward, because customers who have replaced a wardrobe once are unlikely to want to replace it in the other direction, and will simply buy less.

The strategic read

Three implications for anyone with inventory exposure.

Size inclusivity is not the thing under threat, despite the framing. Most American adults still wear sizes at the larger end of the range, and the plus segment losing relative share is not the same as the plus segment disappearing. Retailers that cut range in response to a two-year signal will have narrowed their addressable market against a trend with a documented reversion mechanism. The correct move is to change the mix, not the range.

The tailoring trade is the model, not the sideshow. What the bespoke shops have that the brands do not is a measurement taken at the point of sale and a production cycle short enough to use it. Every capability retail has been investing in for a decade, made-to-measure programmes, on-demand production, sizing data captured at fitting, alterations offered in store, is the correct hedge against exactly this. Firms that treated those as marketing have a forecasting problem. Firms that treated them as infrastructure have an advantage.

Alterations are a margin line, not a cost centre. Horowitz's free-lifetime-alterations policy went from a 2.5 percent utilisation curiosity to a 16 percent operating expense in a single year. That is a warning for any retailer offering open-ended fit guarantees. It is also, viewed differently, the highest-intent customer contact available: someone standing in your store asking you to make a garment fit their current body is telling you their size before your planning system finds out.

The unglamorous version

The story that travels is the one about Wall Street executives in suits that no longer fit and the craftsmen quietly booking out through the season.

The story that costs money is that an entire industry's demand forecasting rests on the assumption that next year's customers are shaped roughly like this year's, and for the first time in a long while that assumption is doing real work rather than sitting quietly in the background.

The tailors are fine. They measure people the week they make the clothes. Everyone planning eighteen months out is placing a bet on a body they have not seen yet.