EnerSys (ENS)
Industrial batteries and energy systems, 9,682 employees. Read October 19, 2026 from the annual report for the period ending March 31, 2026, filed May 20, 2026. Ranked 135 of the 175 Industrials companies read so far, by the share within reach now.
Within reach now
17%
End of 2028
33%
Employees, annual report
9,682
Leading staffing pattern
Other Electrical Equipment and Component Manufacturing
Share of the working time within reach, long-run pace, four times in five
- Now17%
- End of 202728%
- End of 202833%
- End of 203035%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 65%
- Becomes checking a model's work 28%
- Handed over with lighter checks 5%
EnerSys states approximately 9,682 employees at March 31, 2026, down from 10,858, making industrial batteries, chargers and energy systems with services at 10% of revenue and no count by segment or country, so one pattern takes the whole workforce at other electrical equipment, which holds storage batteries, 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: 17% now, 28% at the end of 2027, 33% at the end of 2028, 35% at the end of 2030. By the patterns, the work is about 35% desk work, 16% people work and 49% 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 65% of the working time stays with people (conversation, in-person and hands-on work), 28% 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
9,682 employees as of March 31, 2026 (stated). The filing counts no employees by country; the data service's geography table is for fiscal 2020 and is not used.
The filing: “Employees At March 31, 2026, we had approximately 9,682 employees.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Other Electrical Equipment and Component Manufacturing | 100% | The filing describes industrial batteries, chargers and energy systems made in its manufacturing and production facilities with service centers, products at 90% of revenue and no count by segment, so one pattern takes the whole workforce at other electrical equipment, which holds storage batteries, by description (c). |
What the filing says about the workforce: Approximately 9,682 employees, down from 10,858 a year earlier; manufacturing and production facilities, service centers and headquarters operations; no union share is stated in the excerpt.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Other Electrical Equipment and Component Manufacturing, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Hubbell Incorporated (HUBB, 18,000 employees)17% now, 36% by 2028
- Advanced Energy Industries, Inc. (AEIS, 13,000 employees)17% now, 33% by 2028
- nVent Electric plc (NVT, 12,000 employees)17% now, 33% by 2028
- Belden Inc. (BDC, 8,000 employees)18% now, 39% by 2028
What the filing says about AI
2 sentences in the filing name AI. The filing names unapproved use of machine learning or AI tools among security incident risks, and AI-driven data center growth as a market for its products.
- “Successful cybersecurity attacks, data breaches, unauthorized exfiltration, unapproved use of machine learning or artificial intelligence tools, or other security incidents could result in the loss of intellectual property and key technological advantages.”
- “The data center market is in the midst of a growth cycle driven by AI and increasing digitization.”
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 20221median 0
- Fiscal 20231median 1
- Fiscal 20241median 4
- Fiscal 20252median 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 | 9,682 | 2026-05-20 | 10-K |
| 2025-03-31 | 10,858 | 2025-05-21 | 10-K |
| 2024-03-31 | 10,797 | 2024-05-22 | 10-K |
| 2023-03-31 | 11,350 | 2023-05-24 | 10-K |
| 2022-03-31 | 11,400 | 2022-05-25 | 10-K |
| 2021-03-31 | 11,400 | 2021-05-26 | 10-K |
| 2020-03-31 | 11,400 | 2020-06-01 | 10-K |
| 2019-03-31 | 11,000 | 2019-05-29 | 10-K |
| 2018-03-31 | 9,600 | 2018-05-30 | 10-K |
| 2017-03-31 | 9,400 | 2017-05-30 | 10-K |
| 2016-03-31 | 9,400 | 2016-05-31 | 10-K |
| 2015-03-31 | 9,500 | 2015-05-27 | 10-K |
| 2014-03-31 | 9,500 | 2014-05-28 | 10-K |
| 2013-03-31 | 9,000 | 2013-05-28 | 10-K |
| 2012-03-31 | 9,200 | 2012-05-25 | 10-K |
| 2011-03-31 | 8,400 | 2011-05-31 | 10-K |
| 2010-03-31 | 7,800 | 2010-06-01 | 10-K |
| 2009-03-31 | 7,500 | 2009-06-01 | 10-K |
| 2008-03-31 | 8,600 | 2008-06-11 | 10-K |
| 2007-03-31 | 7,800 | 2007-06-13 | 10-K |
| 2006-03-31 | 7,500 | 2006-06-14 | 10-K |
| 2005-03-31 | 6,600 | 2005-06-20 | 10-K |
Limits of this reading
- No count by segment or country: the one pattern is by description (c).
Source: the company's annual report on EDGAR, accession 0001628280-26-036900, 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 EnerSys, $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 EnerSys's working time is within reach of AI?
- An estimated 17% now and 33% by the end of 2028, on METR's long-run pace at four in five, from the workforce EnerSys'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 EnerSys employ?
- 9,682 as of March 31, 2026, as its annual report for the period ending March 31, 2026 states.
- What kinds of work make up EnerSys's workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Other Electrical Equipment and Component Manufacturing; by those patterns the work is about 35% desk work, 16% people work and 49% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does EnerSys's annual report say about AI?
- 2 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 1, 1, 1 and 2 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.