APProjects/us-layoffs-by-stock-ticker-warn-act-notices-public-companies

US layoffs by stock ticker: 7,637 WARN Act notices filed by 736 listed companies, with confidence tiers

Rebuilt 2026-09-16. State WARN Act filings name the employer as the filer wrote it — Wells Fargo Home Mortgage, OS Restaurant Services, Boeing Compnay — never a ticker. This dataset resolves those strings to the listed parent and re-derives the mapping every day as new filer strings appear.

1,578 filer strings → 736 tickers → 7,637 notices (1988-12-16 → 2026-09-04), 1,005,531 workers affected as printed by the agencies. That is 2,641 of the 13,923 notices dated 2023 or later (19.0%). The other ~81% of those notices come from private companies, nonprofits, public bodies, subsidiaries we have not mapped yet, or companies that were listed at the time and are not on today's exchange directory (see What is deliberately not here).

Two files

file	rows	one row is
data/warn_notices_public_companies.csv (default)	7,637	one WARN notice, all the columns of us-warn-act-layoffs-notices-daily plus ticker, exchange, listed_name, confidence, match_method, match_note
data/ticker_crosswalk.csv	1,578	one filer string → ticker, with notice and worker counts and the latest notice date

How confident each row is — filter on it

Every row carries confidence and match_method. Nothing here is checked by a person; the tier tells you what the code did.

match_method	confidence	filer strings	what it means
exact_multi_token	high	430	the filer string, with corporate suffixes stripped, equals a multi-word listed name exactly (e.g. Meta Platforms)
exact_single_token	medium	304	same exact match but on a ONE-word name (Boeing, Intel); one-word names can collide, so it is a separate tier
alias_manual	medium	56	a hand-written alias whose ticker exists in today's directory AND shares a name token with the listed name (Gap -> GAP)
subsidiary	medium	46	a hand-written parent relationship, written out in note (OS Restaurant Services -> BLMN, Bloomin' Brands)
alias_prefix	medium	742	the filer string begins with an explicitly whitelisted listed-company name (Wells Fargo Home Mortgage -> WFC); hotel brands, franchisors and bottlers are excluded from this rule on purpose

Two rails run before any row is emitted: a deny-list of known collisions (Compass Group, the LSE caterer, is not Compass Inc., the US brokerage; The Well is a venue, not American Well), and a live check that every hand-written alias resolves to a ticker present in today's Nasdaq Trader directory. The build refuses to run if an alias fails that check — that is how Nordstrom → JWN was caught the day it would have shipped (Nordstrom went private in 2025).

Top listed employers by WARN notices

ticker	listed name	notices	workers affected	filer strings
BA	Boeing Company (The)	420	43,967	15
WMT	Walmart Inc.	205	34,741	27
AMZN	Amazon.com, Inc.	200	26,497	110
M	Macy's Inc	177	18,074	91
BLMN	Bloomin' Brands, Inc.	171	39,336	5
WFC	Wells Fargo & Company	170	12,482	26
META	Meta Platforms, Inc.	119	15,328	16
T	AT&T Inc.	95	8,037	29
MAR	Marriott International	89	22,912	5
BURL	Burlington Stores, Inc.	82	5,146	1
CNK	Cinemark Holdings Inc Cinemark Holdings, Inc.	81	8,101	1
RTX	RTX Corporation	72	3,270	14
AAP	Advance Auto Parts Inc.	72	1,306	2
CAR	Avis Budget Group, Inc.	71	2,443	3
QCOM	QUALCOMM Incorporated	69	6,587	23
GD	General Dynamics Corporation	68	5,537	3
BAC	Bank of America Corporation	68	8,237	1
INTC	Intel Corporation	67	7,805	1
KODK	Eastman Kodak Company Common New	67	152	2
GM	General Motors Company	66	24,311	20
FDX	FedEx Corporation	65	8,765	20
NOC	Northrop Grumman Corporation	64	10,446	19
UAL	United Airlines Holdings, Inc.	64	81,360	21
VZ	Verizon Communications Inc.	63	13,379	18
PFE	Pfizer, Inc.	63	4,865	6

Share of notices resolved, by year

year	resolved	of notices	share
2019	334	2,736	12.2%
2020	1,157	15,621	7.4%
2021	224	1,898	11.8%
2022	285	1,846	15.4%
2023	729	3,550	20.5%
2024	749	3,666	20.4%
2025	619	4,017	15.4%
2026	544	2,690	20.2%

The share rises in recent years because filer strings are cleaner and the alias tables were written against them; older strings (Sears, Roebuck and, Montgomery Ward) belong to companies that are no longer listed and are held back on purpose.

What is deliberately not here

• Delisted, acquired or bankrupt filers — Kmart, Sears, Sun Microsystems, Rite Aid, JC Penney, Spirit Airlines, Walgreens, Nordstrom and 22 others are recorded in the build script as historical and NOT given a ticker, because a ticker that cannot be validated against a current directory is worse than a blank. A point-in-time company file is the roadmap item.
• Foreign-listed parents — BAE Systems, DHL, Compass Group (Crothall, Morrison), Ahold Delhaize (Food Lion), FirstGroup (First Student): no US common-stock listing, so no row.
• Franchise brands — a Hilton Garden Inn or McDonald's of X filer is usually a franchisee, so hotel, restaurant and bottler brand names are excluded from prefix matching and only appear when the filer string is the listed company itself.

Universe: Nasdaq Trader nasdaqlisted.txt + otherlisted.txt (all US-listed common stock and ADRs; ETFs, test issues and preferred shares removed) — 6,366 operating entities on 2026-09-16. Notices: the free published file of us-warn-act-layoffs-notices-daily. Per-employer filing histories for these and every other filer are in us-warn-act-employer-layoff-history.

Corrections are wanted. A wrong ticker discredits the file; if you find one, open an issue naming the filer string and the row id and it is added to the deny-list with a reason on the next build.

A layoff record you can audit, not just download

This dataset is one cut of a single daily rebuild: 61,320 US WARN Act layoff notices from 48 state agencies, 1988 to today, one schema, no login, no delay, CC BY 4.0. Snapshot as of 2026-09-16; the files above are rebuilt every day, so the live count is the truth.

Several projects publish a current WARN scrape and two of them carry more rows than we do. None of them publish what the records used to say:

• 616 observed changes to already-published notices, logged daily since 2026-08-31. data/revisions.csv records every field that differed between two consecutive daily builds — employee counts, effective dates, notice types, company names — with the old value, the new value and the date we saw it. We publish the observation and not the cause: a change is equally explained by the agency amending the notice or by our own parser improving, and we do not guess which (see data/revisions.README.txt). A scrape that starts tomorrow cannot backfill any of it; it only exists if someone was watching.
• 6,799 notices whose state agency page no longer lists them. Agencies take notices down. We keep them, flagged as archive-only, so a count you ran last year still reconciles.
• Point-in-time employer identity. The ticker crosswalk resolves a filer to the company as it existed at the time of the notice — Kmart, Sears Holdings, Symantec — not to whatever is on today's ticker file.

If you have to defend a number to an editor, a referee or a compliance reviewer, that provenance layer is the part you cannot rebuild yourself. How to cite this dataset →

Look something up right now — free, no signup, nothing to install. Check any employer or state against the last 180 days → It runs in your browser against these same files.

Building something with it? The same files are a free HTTP API — JSON and CSV, no key, no signup, access-control-allow-origin: * so fetch() works from a browser: endpoints, schema and curl examples →

Need one industry only? The same filings, cut by an auditable employer-name rule (each row keeps the rule that fired): tech companies · hospitals & healthcare · retail store closings · restaurants & hotels · factory & plant closings · banks, insurance & finance · warehouses, trucking & logistics · all 20 sectors.

Or have it watch a list for you. Coming back to look is the part a CSV cannot do. WARN Watch — $49 for a year, one payment, nothing auto-renews, 14-day refund, no login: up to 500 employer names plus whole states, matched on every daily refresh, delivered to a private alert page + calendar (.ics) + RSS + an optional Slack / Discord / Teams webhook. Every alert carries that employer's whole filing history from the archive, which a keyword rule on an RSS feed cannot see. There is no built-in email — we do not claim one.

• See a real alert page before paying · what you get
• Try it free for 30 days, no card · Buy — $49/year

Not deciding today? Join the update list → — one email when a new dataset or tier is published; nothing promotional. A state added or a column renamed ships in the daily release instead, no address needed. The list is shared across APProjects datasets, holds an email address only, is run by Gumroad, and any message unsubscribes you. Rather give no address at all? Watch the repo's releases — GitHub notifies you on every daily republish, and a new state or changed field is in those notes the day it lands.

Reaching a human. WARN Feed is published by APProjects, an automated data publisher — that is stated plainly rather than dressed up. Corrections, coverage gaps, schema questions and refund requests all go here and are read: open an issue. Payments are handled by Gumroad as merchant of record, so an invoice can carry your company name.

Source, scrapers and methodology · the 48-state site

_{Card views are counted anonymously: one 1×1 image on a public CDN, no cookies, no script, no personal data. The count is public: jsDelivr stats.}