Summary
During 2026-W31, the dataset recorded 483 reported tech layoffs across 9 public events. The report covers 9 companies, 7 industries, and 6 countries or regions.
- 2026-W31 includes 9 public layoff events and 483 reported layoffs.
- The largest company contributor is BuzzFeed with 180 reported layoffs.
- The leading named industry is Media with 180 reported layoffs.
- 5 events report a layoff percentage of 25% or higher.
Comparisons
Compared with 2026-W30, reported layoffs changed by -1,743 (-78.3%). Compared with 2025-W31, reported layoffs changed by -18 (-3.6%).
| Comparison | Period | Layoff delta | Layoff % change | Event delta |
|---|---|---|---|---|
| Previous period | 2026-W30 | -1,743 | -78.3% | -4 |
| Same period last year | 2025-W31 | -18 | -3.6% | 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 |
|---|---|---|---|---|---|
| 2026-07-27 | BuzzFeed | 180 | Media | United States | Source |
| 2026-07-31 | Chime | 150 | Finance | United States | Source |
| 2026-07-31 | Lightspeed Commerce | 100 | Retail | Canada | 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 483 reported layoffs across 9 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.