Weekly report

Tech Layoffs Weekly Report: 2026-W31

Weekly tech layoffs report for 2026-W31: 667 reported layoffs across 11 public events and 11 companies.

Data range: 2026-07-27 to 2026-08-01 Status: final Updated: 2026-09-11
Total layoffs667
Events11
Companies11
High intensity5

Summary

During 2026-W31, the dataset recorded 667 reported tech layoffs across 11 public events. The report covers 11 companies, 8 industries, and 6 countries or regions.

Comparisons

Compared with 2026-W30, reported layoffs changed by -1,559 (-70.0%). Compared with 2025-W31, reported layoffs changed by 166 (+33.1%).

Comparison Period Layoff delta Layoff % change Event delta
Previous period 2026-W30 -1,559 -70.0% -2
Same period last year 2025-W31 166 +33.1% 6

Breakdowns

Largest Events

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

Date Company Laid off Industry Country Source
2026-07-27 BuzzFeed 180 Media United States Source
2026-07-31 Chime 150 Finance United States Source
2026-07-31 ChargePoint 144 Manufacturing United States Source
2026-07-31 Lightspeed Commerce 100 Retail Canada Source
2026-08-01 Pump.fun 40 Crypto United States Source
2026-07-30 GoLemon 33 Retail Nigeria Source
2026-07-28 Krutrim 20 AI India 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-W31?

The weekly report for 2026-W31 includes 667 reported layoffs across 11 public events.

Which company had the most layoffs in 2026-W31?

BuzzFeed had the highest reported layoff total in 2026-W31, with 180 layoffs.

Which industry was most affected in 2026-W31?

The leading named industry in 2026-W31 is Media, with 180 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.