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STRATUSWORKFORCE SCAN

The Ensign Group, Inc. (ENSG)

Skilled nursing operator, 46,000 full-time equivalents. Read October 2, 2026 from the annual report for the period ending December 31, 2025, filed February 4, 2026. Ranked 35 of the 36 Healthcare companies read so far, by the share within reach now.

Within reach now

15%

End of 2028

20%

Employees, annual report

46,000

Leading staffing pattern

Nursing Care Facilities (Skilled Nursing Facilities)

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

  • Now15%
  • End of 202719%
  • End of 202820%
  • End of 203020%

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

  • Stays with people 79%
  • Becomes checking a model's work 16%
  • Handed over with lighter checks 3%

The filing states one full-time equivalent total and nothing by facility type or country, so the whole workforce takes the nursing care pattern 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: 15% now, 19% at the end of 2027, 20% at the end of 2028, 20% at the end of 2030. By the patterns, the work is about 20% desk work, 21% people work and 59% 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 79% of the working time stays with people (conversation, in-person and hands-on work), 16% becomes checking a model's work and 3% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

46,000 employees as of December 31, 2025 (full-time equivalent). The filing states no count by country.

The filing: “At December 31, 2025, we had approximately 46,000 full-time equivalent employees who were employed by our Service Center and our independent subsidiaries.”

The workforce as industry patterns

PatternShareReason, from the filing
Nursing Care Facilities (Skilled Nursing Facilities)100%An operator of skilled nursing and senior living facilities (Skilled Services 97% of revenue); the filing states no count by facility type, so one nursing care pattern by description (c), senior living inside it.

What the filing says about the workforce: About 46,000 full-time equivalent employees at the Service Center and the independent subsidiaries; training programs including CEO in Training, Director of Nursing in Training and nursing certified assistant schools; about 89% of subsidiary employees contributed to the Emergency Fund in 2025.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Nursing Care Facilities (Skilled Nursing Facilities), 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

1 sentences in the filing name AI. One sentence: AI and machine learning among the emerging technologies that may make protective measures against data breaches harder to anticipate.

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
2025-12-3146,0002026-02-0410-K
2024-12-3139,3002025-02-0510-K
2023-12-3135,3002024-02-0110-K
2022-12-3129,9002023-02-0210-K
2021-12-3125,9002022-02-0910-K
2020-12-3124,4002021-02-0310-K
2019-12-3124,5002020-02-0510-K
2018-12-3123,4632019-02-0610-K
2017-12-3121,3012018-02-0810-K
2016-12-3119,4822017-02-0810-K
2015-12-3116,4942016-02-1010-K
2014-12-3113,2292015-02-0910-K
2013-12-3111,3722014-02-1310-K
2012-12-3110,3712013-02-1310-K
2011-12-319,4332012-02-1610-K
2010-12-318,3822011-02-1610-K
2009-12-317,7182010-02-1710-K
2008-12-316,1532009-02-1810-K
2007-12-315,6032008-03-0610-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0001125376-26-000007, 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.

Questions about this company

How much of The Ensign Group, Inc.'s working time is within reach of AI?
An estimated 15% now and 20% by the end of 2028, on METR's long-run pace at four in five, from the workforce The Ensign Group, Inc.'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 The Ensign Group, Inc. employ?
46,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states, in full-time equivalents.
What kinds of work make up The Ensign Group, Inc.'s workforce?
Read from its annual report as a blend of 1 industry staffing pattern, the largest Nursing Care Facilities (Skilled Nursing Facilities); by those patterns the work is about 20% desk work, 21% people work and 59% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does The Ensign Group, Inc.'s annual report say about AI?
1 sentence in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 0, 1 and 1 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 2, 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.
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