Citi Trends, Inc. (CTRN)

Discount apparel stores, full and part-time summed. Read November 9, 2026 from the annual report for the period ending January 31, 2026, filed April 15, 2026. Ranked 65 of the 240 Consumer Cyclical companies read so far, by the share within reach now.

The filing states approximately 2,500 full-time and 2,200 part-time associates at January 31, 2026, summed under rule 2, about 3,900 of them in stores, so the stores lead at clothing retailers with the distribution centers at warehousing and the corporate and buying offices at management of companies.

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: 29% now, 32% at the end of 2027, 32% 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 67% 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

4,700 employees as of January 31, 2026 (sum of stated parts). The filing describes stores, distribution centers, buying offices and a corporate office serving U.S. communities and nothing abroad; recorded as 1 without a stated figure, flagged.

The filing: “As of January 31, 2026, we had approximately 2,500 full-time and approximately 2,200 part-time associates.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 2,500 full-time and 2,200 part-time associates at January 31, 2026, about 3,900 in stores and the rest in distribution centers, buying offices and the corporate office; no union; 69% of team members Black and 80% female.

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. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

• TJX (TJX, 377,000 employees)29% now, 31% by 2028
• Ross Stores, Inc. (ROST, 111,000 employees)28% now, 30% by 2028
• Burlington Stores, Inc. (BURL, 83,309 employees)29% now, 31% by 2028
• The Gap, Inc. (GAP, 79,000 employees)30% now, 33% by 2028
• American Eagle Outfitters, Inc. (AEO, 45,000 employees)29% now, 31% by 2028
• Abercrombie & Fitch Co. (ANF, 43,200 employees)29% now, 31% by 2028
• Lululemon Athletica Inc. (LULU, 39,000 employees)29% now, 31% by 2028
• Urban Outfitters, Inc. (URBN, 31,000 employees)29% now, 31% by 2028

What the filing says about AI

20 sentences in the filing name AI. The filing says it finalized an AI-based allocation system across all merchandise categories in fiscal 2025, is investing in AI-based technology for product allocation, and guides new store expansion with AI tools and data analysis.

• “We have refined our product allocation methodology and are investing in artificial intelligence ("AI")-based technology to drive more effective and efficient product allocation processes.”
• “This new store expansion is guided by a disciplined approach leveraging AI tools and extensive data analysis designed to predict sales with approximately 90% accuracy.”
• “In fiscal 2025 we finalized the implementation of an AI-based allocation system across all merchandise categories.”
• “Our new store expansion is guided by a disciplined approach leveraging AI tools and extensive data analysis designed to predict sales with approximately 90% accuracy.”
• “These systems support purchase order management, price and markdown management, merchandise planning and allocation, general ledger, accounts payable, sales audit, loss prevention, store operations and supply chain functions. ​ 8 Table of Contents In fiscal 2025, we continued to advance our technology ecosystem by leveraging AI capabilities in key areas such as merchandise allocation, loss prev...”

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 20247median 4
• Fiscal 202520median 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.

Limits of this reading

• The headcount is the sum of the stated full-time and part-time counts (rule 2); the Index row carried the full-time count alone.
• The 800 outside the stores are counted together, so the split between the distribution centers and the corporate and buying offices is by description (c).
• The U.S. share is recorded as 1 because the filing describes only U.S. operations, without stating it.

Source: the company's annual report on EDGAR, accession 0001104659-26-043813, 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.