Copart, Inc. (CPRT)

Online vehicle auctions and salvage yards, 62% U.S. Read October 19, 2026 from the annual report for the period ending July 31, 2026, filed September 29, 2026. Ranked 26 of the 175 Industrials companies read so far, by the share within reach now.

Copart states approximately 11,900 full and part-time employees at July 31, 2026, 62% in the U.S. and 38% in its International segment, running online vehicle auctions from its yards, so one pattern takes the whole workforce at motor vehicle wholesaling, where auto auctions are counted, by description (c).

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: 22% now, 30% at the end of 2027, 32% at the end of 2028, 33% at the end of 2030. By the patterns, the work is about 33% desk work, 17% people work and 50% 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), 22% becomes checking a model's work and 11% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

11,900 employees as of July 31, 2026 (stated). The filing states approximately 62% of employees located in the U.S. (about 7,400) and 38% in the International segment (about 4,600).

The filing: “As of July 31, 2026, we had approximately 11,900 full and part-time employees, of which approximately 62% were located in the U.S. and 38% were located within our International segment.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 11,900 full and part-time employees, about 7,400 in the U.S. (1,300 in management roles and above) and 4,600 international (400 in management); no union share is stated.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• LKQ Corporation (LKQ, 44,000 employees)22% now, 32% by 2028
• RB Global, Inc. (RBA, 8,700 employees)26% now, 39% by 2028
• Rush Enterprises, Inc. (RUSHA, 7,937 employees)22% now, 32% by 2028

What the filing says about AI

9 sentences in the filing name AI. The filing names its own AI tools, Co.ai for total loss determination and salvage valuation using machine learning and computer vision and IntelliSeller for minimum bid values and re-auction timing, and generative AI among the tools of threat actors.

• “Salvage Estimation Services We offer Co.ai, a proprietary suite of total loss determination and valuation tools that leverage machine learning and computer vision to assist sellers in the vehicle claims evaluation process by providing online salvage value estimates, which helps sellers determine whether to repair a vehicle or deem it a total loss.”
• “Using machine learning, IntelliSeller optimizes the utilization of our vehicle and sales data to determine when to establish minimum bid values and suggest when to re-auction a unit to ensure optimal returns while minimizing cycle time.”
• “For example, as AI technologies, including generative AI models, develop rapidly, threat actors are using these technologies to create new sophisticated attack methods that are increasingly automated, targeted, coordinated, sophisticated, and more difficult to defend against and mitigate the impacts of.”
• “In addition, as we increasingly develop, deploy and incorporate artificial intelligence and machine learning into our products, services, and internal tools, the intellectual property rights in the code, models, content, or other outputs generated with the assistance of these technologies may be uncertain, difficult to protect, or unavailable, and we may not own or be able to prevent others fro...”
• “Intellectual property laws governing the protectability and ownership of works and inventions created with the assistance of 24 Table of Contents artificial intelligence are evolving and may not afford us adequate protection, which could increase our reliance on trade secret protection and diminish the value of, or our ability to protect, our proprietary technologies.”

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 20211median 0
• Fiscal 20221median 0
• Fiscal 20231median 1
• Fiscal 20244median 4
• Fiscal 20254median 10
• Fiscal 20269

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

• No count by kind of work (yards, member services, title processing): the one pattern is by description (c).
• Full-time and part-time employees are counted together.

Source: the company's annual report on EDGAR, accession 0001193125-26-405731, 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.