Under Armour, Inc. (UAA)

Brand stores, counted, 62% in the U.S. Read October 19, 2026 from the annual report for the period ending March 31, 2026, filed May 19, 2026. Ranked 18 of the 161 Consumer Cyclical companies read so far, by the share within reach now.

The filing counts 14,100 teammates with 10,100 in its stores and 900 in distribution, 62% in the United States, so the stores carry the workforce as a counted part.

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: 25% now, 32% at the end of 2027, 33% at the end of 2028, 34% at the end of 2030. By the patterns, the work is about 34% desk work, 25% people work and 41% 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 66% of the working time stays with people (conversation, in-person and hands-on work), 20% becomes checking a model's work and 13% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

14,100 employees as of March 31, 2026 (stated). Approximately 62% of the workforce is in the United States, stated.

The filing: “As of March 31, 2026, we had approximately 14,100 teammates worldwide, including approximately 10,100 in our Brand and Factory House stores and approximately 900 at our distribution facilities.”

The workforce as industry patterns

What the filing says about the workforce: About 6,200 full-time and 7,900 part-time (56%), about 3% of the part-time seasonal, with a significant increase in seasonal teammates in the third fiscal quarter; 10,100 in stores, 900 in distribution; 62% in the United States.

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

7 sentences in the filing name AI. Seven sentences, risk factors: competitors with greater resources may adapt faster to data analytics, generative AI and machine learning, and the company must adapt to AI-enabled shopping tools.

• “We are subject to risks and global events beyond our control that could negatively impact consumer spending, our operations or the operations of our customers and business partners, including: changes in diplomatic and trade relationships or trade policy, including the imposition, expansion or selective enforcement of tariffs, sanctions or import restrictions; inflation; military conflict; poli...”
• “Many of our competitors have significant competitive advantages, including greater financial, distribution, marketing, digital and other resources; longer operating histories; better brand recognition among consumers; more experience in global markets; greater ability to invest in technology and adapt to changes, including the use of data analytics, generative artificial intelligence, machine l...”
• “If we do not successfully execute this strategy, achieve an acceptable return on these investments and adapt to the use of artificial intelligence-enabled shopping tools, our brand image, results of operations and opportunities for future growth could be negatively impacted.”
• “In addition, if we are unable to keep up with rapid technological change (including the successful utilization of data analytics, artificial intelligence and machine learning), it could negatively affect our business.”
• “On the other hand, as we and our vendors continue to invest in evolving technologies, such as generative artificial intelligence and machine learning, we may be exposed to new or expanded risks and liabilities due to inherent operational complexities and an evolving legal and regulatory landscape.”

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 20231median 1
• Fiscal 20242median 4
• Fiscal 20257median 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 split of the 3,100 teammates outside the stores and distribution facilities is by description (c); the corporate office has no stated count.

Source: the company's annual report on EDGAR, accession 0001336917-26-000073, 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.