Weekly report

Tech Layoffs Weekly Report: 2026-W24

Weekly tech layoffs report for 2026-W24: 608 reported layoffs across 8 public events and 8 companies.

Data range: 2026-06-08 to 2026-06-12 Status: final Updated: 2026-06-16
Total layoffs608
Events8
Companies8
High intensity1

Summary

During 2026-W24, the dataset recorded 608 reported tech layoffs across 8 public events. The report covers 8 companies, 8 industries, and 5 countries or regions.

Comparisons

Compared with 2026-W23, reported layoffs changed by -181 (-22.9%). Compared with 2025-W24, reported layoffs changed by 428 (+237.8%).

Comparison Period Layoff delta Layoff % change Event delta
Previous period 2026-W23 -181 -22.9% -3
Same period last year 2025-W24 428 +237.8% 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
2026-06-10 Opendoor 250 Real Estate India Source
2026-06-08 Hailo 110 Manufacturing Israel Source
2026-06-09 Salesforce 86 Sales United States Source
2026-06-09 Verily 58 Healthcare United States Source
2026-06-11 ServiceNow 54 Support United States Source
2026-06-12 Pleo 50 Finance Denmark 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-W24?

The weekly report for 2026-W24 includes 608 reported layoffs across 8 public events.

Which company had the most layoffs in 2026-W24?

Opendoor had the highest reported layoff total in 2026-W24, with 250 layoffs.

Which industry was most affected in 2026-W24?

The leading named industry in 2026-W24 is Real Estate, with 250 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.