Columbus McKinnon Corporation (CMCO)
Hoists, cranes and lifting products maker, 7,300. Read October 19, 2026 from the annual report for the period ending March 31, 2026, filed June 8, 2026. Ranked 99 of the 198 Industrials companies read so far, by the share within reach now.
Within reach now
18%
End of 2028
35%
Employees, annual report
7,300
Leading staffing pattern
Machinery Manufacturing (3331, 3332, 3334, and 3339 only)
Share of the working time within reach, long-run pace, four times in five
- Now18%
- End of 202730%
- End of 202835%
- End of 203037%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 62%
- Becomes checking a model's work 30%
- Handed over with lighter checks 5%
A lifting equipment maker whose filing states 7,300 employees after acquiring Kito Crosby and nothing by segment, so lifting machinery leads by revenue with motor controls beside it.
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: 18% now, 30% at the end of 2027, 35% at the end of 2028, 37% at the end of 2030. By the patterns, the work is about 38% desk work, 16% people work and 47% 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 62% of the working time stays with people (conversation, in-person and hands-on work), 30% becomes checking a model's work and 5% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
7,300 employees as of March 31, 2026 (stated). Not stated: the filing counts no employees by country; the data service's 58% United States is revenue, and the acquired Kito Crosby business has plants in Japan and elsewhere.
The filing: “As of March 31, 2026, we had approximately 7,300 employees globally.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Machinery Manufacturing (3331, 3332, 3334, and 3339 only) | 85% | By segment revenue (c): hoists (63%), industrial cranes, actuators and rigging and lifting products are overhead cranes, hoists and lifting equipment (NAICS 333923), the Kito Crosby acquisition among them, with no count by segment. |
| Electrical Equipment Manufacturing | 15% | By segment revenue (c): the digital power control and delivery systems and elevator drive systems (16% of revenue) are motor controls and drives (NAICS 335314), with no count by segment. |
What the filing says about the workforce: Approximately 7,300 employees globally as of March 31, 2026, up from about 3,500 before the Kito Crosby acquisition added over 4,000; safety incident rate 0.38 for the legacy company and 0.86 for Kito Crosby.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Machinery Manufacturing (3331, 3332, 3334, and 3339 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.
- Caterpillar Inc. (CAT, 118,000 employees)18% now, 37% by 2028
- Deere & Company (DE, 73,100 employees)20% now, 37% by 2028
- Parker-Hannifin Corporation (PH, 59,850 employees)18% now, 38% by 2028
- Carrier Global Corporation (CARR, 47,000 employees)19% now, 36% by 2028
- Trane Technologies plc (TT, 44,000 employees)18% now, 33% by 2028
- Stanley Black & Decker, Inc. (SWK, 43,500 employees)19% now, 34% by 2028
- Illinois Tool Works Inc. (ITW, 43,000 employees)19% now, 37% by 2028
- Applied Materials, Inc. (AMAT, 36,500 employees)19% now, 36% by 2028
What the filing says about AI
16 sentences in the filing name AI. The filing names generative AI among the tools of more sophisticated phishing and social engineering, says third-party providers may adopt generative AI tools that fall short of privacy standards, and that AI in its operations and products could bring reputational or legal harm.
- “Furthermore, cybersecurity threats are constantly expanding and evolving and becoming increasingly sophisticated and complex, including attacks from highly organized adversaries such as nation state actors and attacks using emerging technologies, such as generative artificial intelligence, which create more targeted and sophisticated phishing narratives or otherwise strengthen social engineerin...”
- “Further, third-party providers we utilize may incorporate generative artificial intelligence or other emerging technologies into their operations, and these tools may not meet existing or rapidly evolving 23 Table of Contents regulatory or industry standards with respect to privacy and data protection, and it is possible that these providers may suffer a cyber-security attack that negatively im...”
- “Use of artificial intelligence in our operations and product offerings could result in reputational or competitive harm, legal or regulatory liability and adverse impacts on our results of operations.”
- “We have begun to incorporate artificial intelligence solutions into our operations, and the use of AI involves various risks and challenges that could adversely affect our business, financial condition or results of operations.”
- “The use, development and deployment of artificial intelligence systems or the artificial intelligence systems of third-party artificial intelligence vendors involve inherent technical complexities and uncertainties.”
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 20243median 4
- Fiscal 202516median 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 |
|---|---|---|---|
| 2026-03-31 | 7,300 | 2026-06-08 | 10-K |
| 2025-03-31 | 3,478 | 2025-05-28 | 10-K |
| 2024-03-31 | 3,515 | 2024-05-29 | 10-K |
| 2023-03-31 | 3,392 | 2023-05-25 | 10-K |
| 2022-03-31 | 3,224 | 2022-05-25 | 10-K |
| 2021-03-31 | 2,651 | 2021-05-26 | 10-K |
| 2020-03-31 | 2,997 | 2020-05-27 | 10-K |
| 2019-03-31 | 3,128 | 2019-05-29 | 10-K |
| 2018-03-31 | 3,328 | 2018-05-30 | 10-K |
| 2017-03-31 | 3,380 | 2017-05-31 | 10-K |
| 2016-03-31 | 2,896 | 2016-06-01 | 10-K |
| 2015-03-31 | 2,747 | 2015-05-28 | 10-K |
| 2014-03-31 | 2,626 | 2014-05-29 | 10-K |
| 2013-03-31 | 2,578 | 2013-05-29 | 10-K |
| 2012-03-31 | 2,549 | 2012-05-30 | 10-K |
| 2011-03-31 | 2,531 | 2011-05-27 | 10-K |
| 2010-03-31 | 2,542 | 2010-05-28 | 10-K |
| 2009-03-31 | 2,886 | 2009-06-05 | 10-K |
| 2008-03-31 | 3,233 | 2008-05-30 | 10-K |
| 2007-05-31 | 3,250 | 2007-05-31 | 10-K |
| 2006-06-07 | 3,081 | 2006-06-07 | 10-K |
| 2005-06-08 | 3,061 | 2005-06-08 | 10-K |
| 2004-06-22 | 2,716 | 2004-06-22 | 10-K |
| 2003-03-31 | 2,934 | 2003-06-30 | 10-K |
| 2002-03-31 | 3,074 | 2002-06-12 | 10-K |
| 2001-03-31 | 3,942 | 2001-06-29 | 10-K |
| 2000-03-31 | 4,145 | 2000-06-29 | 10-K |
| 1999-03-31 | 4,350 | 1999-06-29 | 10-K |
| 1998-03-31 | 4,100 | 1998-06-29 | 10-K |
| 1997-03-31 | 3,479 | 1997-06-27 | 10-K |
Limits of this reading
- The U.S. share is not stated.
- No count by segment: the split between lifting machinery and motor controls is by segment revenue (c); the count doubled with the Kito Crosby acquisition in fiscal 2026.
Source: the company's annual report on EDGAR, accession 0001005229-26-000022, 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 Columbus McKinnon Corporation, $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 Columbus McKinnon Corporation's working time is within reach of AI?
- An estimated 18% now and 35% by the end of 2028, on METR's long-run pace at four in five, from the workforce Columbus McKinnon Corporation'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 Columbus McKinnon Corporation employ?
- 7,300 as of March 31, 2026, as its annual report for the period ending March 31, 2026 states.
- What kinds of work make up Columbus McKinnon Corporation's workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Machinery Manufacturing (3331, 3332, 3334, and 3339 only); by those patterns the work is about 38% desk work, 16% people work and 47% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Columbus McKinnon Corporation's annual report say about AI?
- 16 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 0, 3 and 16 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.