Lesaka Technologies, Inc. (LSAK)

South African fintech, counted by segment. Read November 8, 2026 from the annual report for the period ending June 30, 2026, filed September 9, 2026. Ranked 10 of the 238 Technology companies read so far, by the share within reach now.

Lesaka Technologies counts 3,861 employees by segment, 1,883 in Merchant payments read at the credit intermediation group, 1,514 in Consumer lending and accounts at nondepository credit, 279 in Enterprise platforms at data processing and 185 at Group at management of companies, all in southern Africa.

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: 55% now, 66% at the end of 2027, 68% at the end of 2028, 68% at the end of 2030. By the patterns, the work is about 68% desk work, 25% people work and 7% 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 31% of the working time stays with people (conversation, in-person and hands-on work), 61% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

3,861 employees as of June 30, 2026 (stated). The filing states about 3,900 employees on the ground in five countries, South Africa, Namibia, Botswana, Zambia and Kenya, so none in the United States.

The filing: “Our number of employees allocated on a segmental and group basis as of June 30, 2026: Consumer 1,514, Merchant 1,883, Enterprise 279, total segments 3,676, Group 185, total 3,861.”

The workforce as industry patterns

What the filing says about the workforce: By function 1,544 in sales and marketing, 1,176 in operations, 700 in finance and administration, 423 in information technology and development, 13 senior managers and 5 named executive officers; 54% female; 67% Black; no union or hourly counts; fiscal year ends June 30.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Credit Intermediation and Related Activities (5221 and 5223 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. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

• JPMorgan Chase (JPM, 318,512 employees)56% now, 70% by 2028
• Citigroup (C, 226,000 employees)57% now, 70% by 2028
• Bank of America (BAC, 213,000 employees)57% now, 69% by 2028
• Wells Fargo (WFC, 205,000 employees)57% now, 69% by 2028
• Capital One Financial Corporation (COF, 76,300 employees)56% now, 68% by 2028
• U.S. Bancorp (USB, 68,520 employees)56% now, 68% by 2028
• The PNC Financial Services Group, Inc. (PNC, 55,333 employees)56% now, 68% by 2028
• Mastercard Incorporated (MA, 39,800 employees)56% now, 68% by 2028

What the filing says about AI

11 sentences in the filing name AI. The filing says its use of AI is not currently material but may grow into its systems, operations and products, and names AI among cybersecurity and operational risks, in 11 sentences.

• “A successful cybersecurity breach, especially with increased adoption of AI technologies, could result in financial losses, regulatory penalties, reputational damage, operational interruptions, and legal consequences.”
• “Our use of artificial intelligence ("AI") may present risks that could adversely affect our business, results of operations and reputation.”
• “While our use of AI is not currently material, we may increasingly incorporate AI technologies into our systems, operations and product offerings.”
• “The development, deployment and use of AI present a number of risks and uncertainties.”
• “AI systems may produce inaccurate, unreliable or otherwise flawed outputs, including as a result of limitations in model design, training data quality, bias or other technical constraints.”

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 20240median 4
• Fiscal 20250median 10
• Fiscal 202611

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 headcount is the table's exact 3,861 over the prose's approximately 3,900 the collector took (rule 2).
• All employees are in southern and eastern Africa; the U.S. share is 0.

Source: the company's annual report on EDGAR, accession 0001562762-26-000104, 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.