Oxford Industries, Inc. (OXM)
Apparel brands sold in own stores and restaurants. Read October 19, 2026 from the annual report for the period ending January 31, 2026, filed March 27, 2026. Ranked 52 of the 184 Consumer Cyclical companies read so far, by the share within reach now.
Within reach now
23%
End of 2028
31%
Employees, annual report
6,000
Leading staffing pattern
Clothing and Clothing Accessories Retailers
Share of the working time within reach, long-run pace, four times in five
- Now23%
- End of 202729%
- End of 202831%
- End of 203032%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 68%
- Becomes checking a model's work 19%
- Handed over with lighter checks 12%
Oxford Industries’ over 6,000 employees, 96% in the United States and 77% in its stores and restaurants, sell Tommy Bahama and Lilly Pulitzer apparel, split by description.
The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.
What follows from the reading
Share of working time within reach of AI, on the long-run pace at four in five: 23% now, 29% at the end of 2027, 31% at the end of 2028, 32% at the end of 2030. By the patterns, the work is about 32% desk work, 25% people work and 43% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 68% of the working time stays with people (conversation, in-person and hands-on work), 19% becomes checking a model's work and 12% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
6,000 employees as of January 31, 2026 (stated). 96% of employees are in the United States, by the filing.
The filing: “As of January 31, 2026, we employed over 6,000 individuals globally of whom 96% were in the United States.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Clothing and Clothing Accessories Retailers | 60% | By (a) and description: about 77% of employees are retail store and food and beverage employees by the filing, the stores the larger part, clothing retailers. |
| Apparel, Piece Goods, and Notions Merchant Wholesalers | 23% | By description (c): the remaining 23%, the wholesale, design, sourcing, distribution and corporate work behind the Tommy Bahama, Lilly Pulitzer and emerging brands, apparel wholesaling. |
| Restaurants and Other Eating Places | 17% | By description (c): the food and beverage employees inside the filing’s 77% store and restaurant count, the Tommy Bahama restaurants and bars, read at restaurants. |
What the filing says about the workforce: Over 6,000 employees, 96% in the United States; about 77% retail store and food and beverage employees; seasonal employees added for the holiday season; no union representation.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Clothing and Clothing Accessories Retailers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- TJX (TJX, 377,000 employees)24% now, 31% by 2028
- Ross Stores, Inc. (ROST, 111,000 employees)23% now, 29% by 2028
- Burlington Stores, Inc. (BURL, 83,309 employees)24% now, 31% by 2028
- The Gap, Inc. (GAP, 79,000 employees)24% now, 32% by 2028
- American Eagle Outfitters, Inc. (AEO, 45,000 employees)24% now, 30% by 2028
- Abercrombie & Fitch Co. (ANF, 43,200 employees)24% now, 30% by 2028
- Lululemon Athletica Inc. (LULU, 39,000 employees)24% now, 30% by 2028
- Urban Outfitters, Inc. (URBN, 31,000 employees)24% now, 30% by 2028
What the filing says about AI
24 sentences in the filing name AI. The filing names AI 24 times: its own use of AI with its operational, data security and legal risks, and AI among the advances changing consumer access to brands.
- “Such statements are subject to a number of risks, uncertainties and assumptions including, without limitation: changes in the trade policies of the United States and those of other nations, including risks of potential future changes or worsening trade tensions between the United States and other countries and the impact of uncertainties surrounding U.S. trade policy on consumer sentiment; the...”
- “Our use of artificial intelligence technologies presents operational, reputational, data security and legal risks that could adversely affect our business and financial performance, and any failure to effectively leverage artificial technologies in our business could negatively impact our customer engagement and competitive position.”
- “Advances in digital commerce, mobile platforms, data analytics, and artificial intelligence ("AI") have expanded consumer access to information, products and brands across multiple, increasingly responsive distribution channels.”
- “AI-enabled tools used across the industry that include personalized marketing, demand forecasting, dynamic pricing, and supply chain optimization have further raised customer expectations for relevance, speed, and convenience, while also intensifying competitive pressures.”
- “These conditions impacted our businesses and financial results during Fiscal 2025 and may continue to do so in the future, requiring continued focus on operational agility, disciplined investment, and the strategic use of technology, including AI, to navigate sustained uncertainty and competition.”
Its annual reports, year by year
Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector
- Fiscal 20210median 0
- Fiscal 20220median 0
- Fiscal 20230median 1
- Fiscal 20241median 4
- Fiscal 202524median 10
Headcount by filing year
As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2026-01-31 | 6,000 | 2026-03-27 | 10-K |
| 2025-02-01 | 6,000 | 2025-03-31 | 10-K |
| 2024-02-03 | 6,000 | 2024-04-01 | 10-K |
| 2023-01-28 | 6,000 | 2023-03-28 | 10-K |
| 2022-01-29 | 4,700 | 2022-03-28 | 10-K |
| 2021-01-30 | 3,900 | 2021-03-29 | 10-K |
| 2020-02-01 | 6,100 | 2020-03-30 | 10-K |
| 2019-02-02 | 6,100 | 2019-04-01 | 10-K |
| 2018-02-03 | 5,900 | 2018-04-02 | 10-K |
| 2017-01-28 | 5,800 | 2017-03-28 | 10-K |
| 2016-01-30 | 5,500 | 2016-03-28 | 10-K |
| 2015-01-31 | 5,400 | 2015-03-31 | 10-K |
| 2014-02-01 | 5,100 | 2014-03-31 | 10-K |
| 2013-02-02 | 4,800 | 2013-04-04 | 10-K |
| 2012-01-28 | 4,400 | 2012-03-30 | 10-K |
| 2011-01-29 | 4,000 | 2011-03-31 | 10-K |
| 2010-01-30 | 3,800 | 2010-03-31 | 10-K |
| 2009-01-31 | 4,000 | 2009-04-01 | 10-K |
| 2007-06-01 | 4,800 | 2007-07-31 | 10-K |
| 2006-06-02 | 4,800 | 2006-08-15 | 10-K |
| 2005-06-03 | 6,800 | 2005-08-16 | 10-K |
| 2004-05-28 | 8,439 | 2004-08-11 | 10-K |
| 2003-05-30 | 7,343 | 2003-08-28 | 10-K |
| 2002-05-31 | 7,427 | 2002-08-28 | 10-K |
| 2001-06-01 | 9,469 | 2001-08-29 | 10-K |
| 2000-06-02 | 9,758 | 2000-08-24 | 10-K |
| 1999-05-28 | not read | 1999-08-20 | 10-K |
| 1998-05-29 | not read | 1998-08-24 | 10-K |
| 1997-05-30 | 123 | 1997-08-26 | 10-K |
| 1996-05-31 | 136 | 1996-08-22 | 10-K |
| 1995-06-02 | not read | 1995-08-31 | 10-K |
| 1994-06-03 | 146 | 1994-08-31 | 10-K |
Limits of this reading
- The 77% store and food and beverage count is bundled; the split between stores and restaurants is by description.
- Seasonal employees fluctuate during the year and the count is as of January 31.
Source: the company's annual report on EDGAR, accession 0000075288-26-000026, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.
The report on Oxford Industries, Inc., $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of Oxford Industries, Inc.'s working time is within reach of AI?
- An estimated 23% now and 31% by the end of 2028, on METR's long-run pace at four in five, from the workforce Oxford Industries, Inc.'s own annual report describes and BLS staffing patterns for its industries, never from a roster. It is an estimate with a stated method. It is not a forecast of jobs lost or of savings, and it says nothing about what the company will do.
- How many people does Oxford Industries, Inc. employ?
- 6,000 as of January 31, 2026, as its annual report for the period ending January 31, 2026 states. About 96% in the U.S.
- What kinds of work make up Oxford Industries, Inc.'s workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Clothing and Clothing Accessories Retailers; by those patterns the work is about 32% desk work, 25% people work and 43% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Oxford Industries, Inc.'s annual report say about AI?
- 24 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 0, 1 and 24 sentences, year by year. They are counted and quoted on this page, never judged: a count says how much a filing talks about AI, not what the company does with it.
- How is this estimated?
- Claude Fable 5.1 read the annual report under the Index's written rubric (version 1) on October 19, 2026: the stated headcount, the share in the U.S. when stated, and the workforce as a blend of industry staffing patterns. The estimates are the site's industry estimates weighted by those shares, from O*NET tasks with estimated lengths and METR's measurements of how long a task AI models can finish. A company can write to info@stratussc.com to have its reading checked against its filing.
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.