Weekly report

Tech Layoffs Weekly Report: 2026-W36

Weekly tech layoffs report for 2026-W36: 5,387 reported layoffs across 16 public events and 12 companies.

Data range: 2026-08-31 to 2026-09-06 Status: final Updated: 2026-09-11
Total layoffs5,387
Events16
Companies12
High intensity3

Summary

During 2026-W36, the dataset recorded 5,387 reported tech layoffs across 16 public events. The report covers 12 companies, 9 industries, and 6 countries or regions.

Comparisons

Compared with 2026-W35, reported layoffs changed by 4,967 (+1182.6%). Compared with 2025-W36, reported layoffs changed by 3,047 (+130.2%).

Comparison Period Layoff delta Layoff % change Event delta
Previous period 2026-W35 4,967 +1182.6% 10
Same period last year 2025-W36 3,047 +130.2% -1

Breakdowns

Largest Events

Sorted by reported headcount. Events where no headcount was publicly disclosed are not shown.

Date Company Laid off Industry Country Source
2026-09-02 Uber 3,300 Transportation United States Source
2026-09-03 The Trade Desk 585 Marketing United States Source
2026-09-03 PayPal 251 Finance United States Source
2026-08-31 Zomato 250 Food India Source
2026-09-02 PayPal 220 Finance India Source
2026-08-31 PayPal 164 Finance Ireland Source
2026-09-01 Wonder 150 Food United States Source
2026-09-01 Amazon 148 Retail United States Source
2026-09-01 Synopsys 128 Other United States Source
2026-08-31 Amazon 121 Retail United States Source

Methodology

Rows with invalid dates are excluded from period reports.

Rows without num_laid_off count as events but are excluded from headcount totals.

Layoff percentage, funding stage, and funds raised fields are incomplete in source data.

FAQ

How many tech layoffs were reported in 2026-W36?

The weekly report for 2026-W36 includes 5,387 reported layoffs across 16 public events.

Which company had the most layoffs in 2026-W36?

Uber had the highest reported layoff total in 2026-W36, with 3,300 layoffs.

Which industry was most affected in 2026-W36?

The leading named industry in 2026-W36 is Transportation, with 3,300 reported layoffs.

How should this report be interpreted?

This report is generated from public layoff records. Rows without reported headcount can count as events but are excluded from headcount totals, and the dataset should not be treated as proof of causal claims.