Weekly report

Tech Layoffs Weekly Report: 2026-W09

Weekly tech layoffs report for 2026-W09: 8,367 reported layoffs across 9 public events and 9 companies.

Data range: 2026-02-24 to 2026-02-28 Status: final Updated: 2026-04-27
Total layoffs8,367
Events9
Companies9
High intensity5

Summary

During 2026-W09, the dataset recorded 8,367 reported tech layoffs across 9 public events. The report covers 9 companies, 7 industries, and 5 countries or regions.

Comparisons

Compared with 2026-W08, reported layoffs changed by 6,867 (+457.8%). Compared with 2025-W09, reported layoffs changed by 1,982 (+31.0%).

Comparison Period Layoff delta Layoff % change Event delta
Previous period 2026-W08 6,867 +457.8% 5
Same period last year 2025-W09 1,982 +31.0% -4

Breakdowns

Largest Events

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

Date Company Laid off Industry Country Source
2026-02-26 Block 4,000 Finance United States Source
2026-02-24 WiseTech 2,000 Logistics Australia Source
2026-02-26 Ocado 1,000 Food United Kingdom Source
2026-02-26 eBay 800 Retail Israel Source
2026-02-25 C3.ai 280 AI United States Source
2026-02-25 Deliveroo 187 Food United Kingdom Source
2026-02-24 TrueCar 100 Transportation 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-W09?

The weekly report for 2026-W09 includes 8,367 reported layoffs across 9 public events.

Which company had the most layoffs in 2026-W09?

Block had the highest reported layoff total in 2026-W09, with 4,000 layoffs.

Which industry was most affected in 2026-W09?

The leading named industry in 2026-W09 is Finance, with 4,000 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.