Summary
From 2025-01-06 to 2026-06-16, public records track 243,483 reported tech layoffs across 294 companies and 25 countries or regions. The 2026 year-to-date total is 118,847, while the largest monthly spike in the current dataset is 2026-03.
- Oracle is the highest-ranked company by reported layoffs in the current company summary, with 31,094 layoffs.
- Hardware is the largest industry category, accounting for 51,391 reported layoffs.
- United States is the leading country or region in the current dataset, with 204,228 reported layoffs.
- The peak month is 2026-03, with 46,593 reported layoffs.
Monthly Layoff Trend
The monthly trend shows whether the market is moving through isolated large events or a broader sequence of layoffs. The current peak month in this dataset is 2026-03, with 46,593 reported layoffs.
Note: Monthly totals can spike when a single large company announces mass cuts. Check the company breakdown alongside this chart for a fuller picture.
Industry Breakdown
The industry with the most reported layoffs is Hardware, accounting for 51,391 reported layoffs.
Country and Region Breakdown
The geographic view helps separate local labor market pressure from global technology restructuring. The top country or region in the dataset is United States, with 204,228 reported layoffs.
Company Ranking and Concentration
Company rankings identify whether layoffs are concentrated in a few major employers or spread across the broader startup and technology market. The leading company in this dataset is Oracle, with 31,094 reported layoffs.
Funding Stage and Layoff Size
Funding stage analysis helps distinguish public-company restructuring from private-company pressure. The heatmap counts layoff events by stage and size bucket rather than summing headcount.
Layoff Intensity
Layoff percentage is available only for records where the source data includes it. When available, it gives a clearer picture of company-level stress than raw headcount alone.
Recent Layoff Events
Recent events provide source-level context for the trend data. Records without reported headcount can still appear here when they have valid dates.
| Date | Company | Laid off | Industry | Country | Source |
|---|---|---|---|---|---|
| 2026-06-16 | Robinhood | 290 | Finance | United States | Source |
| 2026-06-16 | FNZ | N/A | Finance | United Kingdom | Source |
| 2026-06-16 | Rivian | N/A | Transportation | United States | Source |
| 2026-06-16 | Artlist | 200 | Media | Israel | Source |
| 2026-06-12 | Pleo | 50 | Finance | Denmark | Source |
| 2026-06-11 | ServiceNow | 54 | Support | United States | Source |
| 2026-06-10 | Opendoor | 250 | Real Estate | India | Source |
| 2026-06-10 | Shopee | N/A | Food | Singapore | Source |
| 2026-06-09 | Verily | 58 | Healthcare | United States | Source |
| 2026-06-09 | Salesforce | 86 | Sales | United States | Source |
| 2026-06-08 | Hailo | 110 | Manufacturing | Israel | Source |
| 2026-06-08 | Tools for Humanity | N/A | AI | United States | Source |
Methodology
This report is based on public tech layoff records. Entries with invalid dates are excluded from time-series charts. Entries without a reported headcount are excluded from totals but may still appear in event lists if a valid date is available.
Data source coverage changes over time, and some fields such as layoff percentage, funding stage, and funds raised are incomplete. The report should be read as a structured public-record analysis, not as a complete labor-market census.
FAQ
What is the latest tech layoff trend?
The current data covers 2025-01-06 to 2026-06-16. The month with the highest reported layoff total is 2026-03.
Which tech company had the most layoffs in this dataset?
Oracle ranks first in the current company summary with 31,094 reported layoffs.
Which industry is most affected by tech layoffs?
Hardware is the largest industry category in the current this data, with 51,391 reported layoffs.
Does this report prove that AI caused tech layoffs?
No. The structured dataset tracks public layoff records and related dimensions, but it does not contain a complete causal field for AI. Any AI-related discussion should be treated as source attribution or market context, not as a direct causal proof.
How often is the data updated?
Data is updated daily from public layoff records. The report shows the current date range so you can verify how recent the data is.