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STRATUSWORKFORCE SCAN

Snap-on Incorporated (SNA)

Tool plants with diagnostics and finance, 56% U.S. Read October 19, 2026 from the annual report for the period ending January 3, 2026, filed February 12, 2026. Ranked 28 of the 175 Industrials companies read so far, by the share within reach now.

Within reach now

22%

End of 2028

43%

Employees, annual report

13,000

Leading staffing pattern

Fabricated Metal Product Manufacturing (3321, 3322, 3325, 3326, and 3329 only)

Share of the working time within reach, long-run pace, four times in five

  • Now22%
  • End of 202737%
  • End of 202843%
  • End of 203046%

What changes for its people by the end of 2028, by its industries' figures

  • Stays with people 54%
  • Becomes checking a model's work 38%
  • Handed over with lighter checks 6%

The filing states 13,000 employees, 7,300 in the United States, making tools, diagnostics and repair software with a finance arm, with no count by segment, so the split is 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: 22% now, 37% at the end of 2027, 43% at the end of 2028, 46% at the end of 2030. By the patterns, the work is about 46% desk work, 17% people work and 37% 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 54% of the working time stays with people (conversation, in-person and hands-on work), 38% becomes checking a model's work and 6% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

13,000 employees as of January 3, 2026 (stated). Approximately 7,300 of 13,000 employees in the United States (56%) and 5,700 outside, stated.

The filing: “As of January 3, 2026, Snap-on employed approximately 13,000 people worldwide, of which approximately 7,300 were employed in the United States and approximately 5,700 were outside the United States.”

The workforce as industry patterns

PatternShareReason, from the filing
Fabricated Metal Product Manufacturing (3321, 3322, 3325, 3326, and 3329 only)55%The Tools Group (38% of revenue) and the Commercial and Industrial Group (28%) make hand tools, power tools and tool storage in the company's plants, which NAICS counts with hand and edge tools (3322, in 3320A1), read by description (c) as the largest part; the franchisees who run the vans are not employees (rule 8).
Navigational, Measuring, Electromedical, and Control Instruments Manufacturing25%The Repair Systems and Information Group (36% of revenue) makes diagnostic equipment and shop equipment for vehicle repair, read at the instruments group by description (c).
Software Publishers10%The repair information and management software inside the Repair Systems and Information Group is read at software publishers at a tenth by description (c).
Nondepository Credit Intermediation10%Financial Services (8% of revenue) finances franchisees and their customers, read at nondepository credit intermediation by segment revenue (c).

What the filing says about the workforce: 7,300 in the United States and 5,700 outside; about 2,300 represented by unions or under collective bargaining agreements with expirations through 2029 (18%); safety incident rate 0.92 in 2025; franchisees and distributors are outside the count.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Fabricated Metal Product Manufacturing (3321, 3322, 3325, 3326, and 3329 only), largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

What the filing says about AI

5 sentences in the filing name AI. Five sentences, risk factors: product developments may require expanded use of artificial intelligence, AI data centers may move energy prices, and attackers use advanced forms of AI.

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

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.

PeriodEmployeesFiledFiling
2026-01-0313,0002026-02-1210-K
2024-12-2813,0002025-02-1310-K
2023-12-3013,2002024-02-1610-K
2022-12-3112,9002023-02-0910-K
2022-01-0112,8002022-02-1110-K
2021-01-0212,3002021-02-1110-K
2019-12-2812,8002020-02-1310-K
2018-12-2912,6002019-02-1410-K
2017-12-3012,6002018-02-1510-K
2016-12-3112,1002017-02-0910-K
2016-01-0211,5002016-02-1110-K
2015-01-0311,4002015-02-1210-K
2013-12-2811,3002014-02-1410-K
2012-12-2911,2002013-02-1410-K
2011-12-3111,5002012-02-1610-K
2011-01-0111,3002011-02-1710-K
2010-01-0211,0002010-02-1810-K
2009-01-0311,5002009-02-1810-K
2007-12-2911,6002008-02-1910-K
2006-12-3012,4002007-02-2010-K
2005-12-3111,4002006-02-2110-K
2005-02-0111,5002005-02-2510-K
2003-12-3112,4002004-03-1610-K
2002-12-3112,9002003-03-0510-K
2001-12-2913,5002002-03-2510-K405
2000-12-3014,0002001-03-1910-K405
2000-01-0114,0002000-03-2910-K405
1999-01-0212,0001999-04-0110-K405
1998-01-0311,7001998-03-2710-K405
1996-12-2810,6001997-03-2710-K
1995-12-3010,2001996-03-2810-K
1994-12-319,0001995-03-2710-K
1994-01-019,0001994-03-1810-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0000091440-26-000045, 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 Snap-on Incorporated, $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 Snap-on Incorporated's working time is within reach of AI?
An estimated 22% now and 43% by the end of 2028, on METR's long-run pace at four in five, from the workforce Snap-on Incorporated'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 Snap-on Incorporated employ?
13,000 as of January 3, 2026, as its annual report for the period ending January 3, 2026 states. About 56% in the U.S.
What kinds of work make up Snap-on Incorporated's workforce?
Read from its annual report as a blend of 4 industry staffing patterns, the largest Fabricated Metal Product Manufacturing (3321, 3322, 3325, 3326, and 3329 only); by those patterns the work is about 46% desk work, 17% people work and 37% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Snap-on Incorporated's annual report say about AI?
5 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 3, 3 and 5 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.

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