Flowserve Corporation (FLS)

Pump and valve plants, support counted. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 17, 2026. Ranked 35 of the 175 Industrials companies read so far, by the share within reach now.

The filing counts 9,000 associates in pumps, 4,000 in valves and 3,000 in core business functions, with regions stated, so every pattern is a counted part of the 16,000.

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: 21% now, 34% at the end of 2027, 40% at the end of 2028, 42% at the end of 2030. By the patterns, the work is about 42% desk work, 16% people work and 41% 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 57% of the working time stays with people (conversation, in-person and hands-on work), 35% 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

16,000 employees as of December 31, 2025 (stated). Not stated; about 4,900 of 16,000 are in North America (31%), 1,600 in Latin America, 5,500 in Europe, the Middle East and Africa and 4,000 in Asia Pacific.

The filing: “As of December 31, 2025, we had approximately 16,000 employees (associates) globally and a footprint of manufacturing facilities and QRCs in more than 48 countries.”

The workforce as industry patterns

What the filing says about the workforce: 9,000 in the pump division, 4,000 in the flow control division, 3,000 in core business functions; 4,900 North America, 1,600 Latin America, 5,500 EMEA, 4,000 Asia Pacific; manufacturing facilities and quick response centers in more than 48 countries; no hourly, part-time or union figure stated.

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

9 sentences in the filing name AI. Nine sentences: the data center buildout to power artificial intelligence has raised demand for the company's products, and risk factors say it must invest in technology such as AI and machine learning to stay competitive.

• “Energy transition as well as the more recent build-out of data centers to power artificial intelligence have also resulted in increased demand for our products and services as customers and geographies look to secure more independent sources of energy.”
• “In that respect, our investments have been focused on four critical areas: (1) significantly enhancing the digital integration and interoperability of automation products (e.g., positioners, actuators, limit switches and associated accessories) with Distributed Control Systems ("DCS") and Asset Management Systems ("AMS"); (2) developing and deploying next-generation hardware and software soluti...”
• “To remain competitive, we must invest in manufacturing, technology, such as artificial intelligence and machine learning, marketing, customer service and support and our distribution networks.”
• “Failure to successfully develop and introduce new products and integrate new technologies, including artificial intelligence and machine learning, could limit our ability to grow and maintain our competitive position and adversely affect our financial condition, results of operations and cash flow.”
• “Difficulties or delays in the research, development, production and/or marketing of new products and services or adoption of new technologies, such as artificial intelligence and machine learning, may negatively impact our operating results and prevent us from recouping or realizing a return on the investments required to continue to bring these products and services to market.”

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 20248median 4
• Fiscal 20259median 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.

Limits of this reading

• The 3,000 in core business functions are a stated support count, read at management of companies under rule 6.
• The U.S. share is not stated; North America is 31%.

Source: the company's annual report on EDGAR, accession 0000030625-26-000003, 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.