Summary
During 2026-W23, the dataset recorded 789 reported tech layoffs across 11 public events. The report covers 11 companies, 9 industries, and 2 countries or regions.
- 2026-W23 includes 11 public layoff events and 789 reported layoffs.
- The largest company contributor is GitLab with 350 reported layoffs.
- The leading named industry is Product with 350 reported layoffs.
Comparisons
Compared with 2026-W22, reported layoffs changed by -1,085 (-57.9%). Compared with 2025-W23, reported layoffs changed by 369 (+87.9%).
| Comparison | Period | Layoff delta | Layoff % change | Event delta |
|---|---|---|---|---|
| Previous period | 2026-W22 | -1,085 | -57.9% | 0 |
| Same period last year | 2025-W23 | 369 | +87.9% | 8 |
Breakdowns
Largest Events
Sorted by reported headcount. Events where no headcount was publicly disclosed are not shown.
| Date | Company | Laid off | Industry | Country | Source |
|---|---|---|---|---|---|
| 2026-06-02 | GitLab | 350 | Product | United States | Source |
| 2026-06-03 | Dandy | 160 | Healthcare | United States | Internal memo |
| 2026-06-03 | Skai | 100 | Marketing | Israel | Source |
| 2026-06-05 | Quizlet | 79 | Education | United States | Source |
| 2026-06-01 | Lightricks | 75 | Consumer | Israel | Source |
| 2026-06-07 | Zencity | 15 | Other | Israel | Source |
| 2026-06-02 | Aleph Farms | 10 | Food | Israel | 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-W23?
The weekly report for 2026-W23 includes 789 reported layoffs across 11 public events.
Which company had the most layoffs in 2026-W23?
GitLab had the highest reported layoff total in 2026-W23, with 350 layoffs.
Which industry was most affected in 2026-W23?
The leading named industry in 2026-W23 is Product, with 350 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.